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<strong>This comprehensive deep learning course with Python will start with the basics and work up to advanced topics such as using different frameworks in Python to solve real-world problems and building artificial neural networks with TensorFlow and Keras. </strong>
        <p>Python is famed as one of the best programming languages for its flexibility. It works in almost all fields, from web development to developing financial applications. However, it's no secret that Python's best application is in deep learning and artificial intelligence (AI)  tasks.

You'll start with an introduction to deep learning where you'll focus on the fundamentals of the deep learning theory and find out how to use deep learning in Python, before moving on to artificial neural networks (ANNs). You'll learn how to use different frameworks in Python to solve real-world problems using deep learning and artificial intelligence. Next, you'll discover how to make predictions using linear regression, polynomial regression, and multivariate regression, and build artificial neural networks with TensorFlow and Keras. The video also covers convolutional neural networks (CNNs) at length and goes through the different components such as convolution layer, pooling layer, and fully connected layer. Finally, you'll wrap up CNN  implementation  in Python.

By the end of this course, you'll be able to use the concepts of deep learning to build neural networks in Python like a professional.</p>
        <h2>What You Will Learn</h2><p>Get to grips with the fundamentals of the deep learning theory<br>Discover how to use deep learning in Python<br>Find out how to use different frameworks in Python<br>Build artificial neural networks with TensorFlow and Keras<br>Explore the implementation of ANNs and CNNs in Python</p>
        <h2>Audience</h2><p>This course is for both programming beginners and professionals who want to expand on their knowledge of deep learning, or professional mathematicians looking to learn how to analyze data programmatically. Prerequisites include basic mathematical skills and Python coding experience.</p>
        <h2>Approach</h2><p>This fundamentals training is excellent for both newcomers and seasoned professionals. This is the best course for you if you're looking for one that starts with the fundamentals and progresses to more complex subjects. It does not teach anything but what is necessary to get started with deep learning. This is pretty much everything you need to get started with the topic, and it also helps to keep the course quite concise.</p>
        <h2>Key Features</h2><p>Fundamentals course designed for both beginners and experts alike * Use different frameworks in Python to solve real-world problems using deep learning and AI * Make predictions using linear regression, polynomial regression, and multivariate regression</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-for-Deep-Learning---Build-Neural-Networks-in-Python</p>
        <h2>About the Author</h2><h3>Meta Brains</h3><p>Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone.

Currently, they're focused on the next great revolution in computing: The Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!</p>
        <h2>Course Outline</h2><h4>1. Introduction to Deep Learning</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction</p><p style='margin: 0'>In this video, we will have a quick introduction to the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Deep Learning?</p><p style='margin: 0'>In this video, we will understand what deep learning is.</p></td></tr><tr><td style='padding: 15px;'><p>3. Why is Deep Learning Important?</p><p style='margin: 0'>In this video, we will understand the importance of deep learning.</p></td></tr><tr><td style='padding: 15px;'><p>4. Software and Frameworks</p><p style='margin: 0'>In this video, you will learn about software and frameworks.</p></td></tr></tbody></table><br><h4>2. Artificial Neural Networks (ANN)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Introduction</p><p style='margin: 0'>In this video, we will have a quick introduction to this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Anatomy and Function of Neurons</p><p style='margin: 0'>In this video, you will learn about the anatomy and function of neurons.</p></td></tr><tr><td style='padding: 15px;'><p>3. An Introduction to The Neural Network</p><p style='margin: 0'>In this video, we will have a quick introduction to the neural network.</p></td></tr><tr><td style='padding: 15px;'><p>4. Architecture of a Neural Network</p><p style='margin: 0'>In this video, you will learn about the architecture of a neural network.</p></td></tr></tbody></table><br><h4>3. Propagation of Information in ANNs</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Feed-Forward and Back Propagation Networks</p><p style='margin: 0'>In this video, you will learn about feed-forward and back propagation networks.</p></td></tr><tr><td style='padding: 15px;'><p>2. Backpropagation in Neural Networks</p><p style='margin: 0'>In this video, you will learn about backpropagation in neural networks.</p></td></tr><tr><td style='padding: 15px;'><p>3. Minimizing the Cost Function Using Backpropagation</p><p style='margin: 0'>In this video, you will learn how to minimize the cost function using backpropagation.</p></td></tr></tbody></table><br><h4>4. Neural Network Architectures</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Single Layer Perceptron (SLP) Model</p><p style='margin: 0'>In this video, you will learn about the Single-layer perceptron (SLP) model.</p></td></tr><tr><td style='padding: 15px;'><p>2. Radial Basis Network (RBN)</p><p style='margin: 0'>In this video, you will learn about Radial Basis Network (RBN).</p></td></tr><tr><td style='padding: 15px;'><p>3. Multi-Layer Perceptron (MLP) Neural Network</p><p style='margin: 0'>In this video, you will learn about multi-layer perceptron (MLP) Neural Network.</p></td></tr><tr><td style='padding: 15px;'><p>4. Recurrent Neural Network (RNN)</p><p style='margin: 0'>In this video, you will learn about Recurrent Neural Network (RNN).</p></td></tr><tr><td style='padding: 15px;'><p>5. Long Short-Term Memory (LSTM) Networks</p><p style='margin: 0'>In this video, you will learn about Long Short-Term Memory (LSTM) networks.</p></td></tr><tr><td style='padding: 15px;'><p>6. Hopfield Neural Network</p><p style='margin: 0'>In this video, you will learn about Hopfield neural network.</p></td></tr><tr><td style='padding: 15px;'><p>7. Boltzmann Machine Neural Network</p><p style='margin: 0'>In this video, you will learn about Boltzmann Machine Neural Network.</p></td></tr></tbody></table><br><h4>5. Activation Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is the Activation Function?</p><p style='margin: 0'>In this video, we will understand what the Activation function is.</p></td></tr><tr><td style='padding: 15px;'><p>2. Important Terminologies</p><p style='margin: 0'>In this video, we will understand some important terminologies like differential function and monotonic function.</p></td></tr><tr><td style='padding: 15px;'><p>3. The Sigmoid Function</p><p style='margin: 0'>In this video, you will learn about the Sigmoid function.</p></td></tr><tr><td style='padding: 15px;'><p>4. Hyperbolic Tangent Function</p><p style='margin: 0'>In this video, you will learn about the Hyperbolic tangent function.</p></td></tr><tr><td style='padding: 15px;'><p>5. SoftMax Function</p><p style='margin: 0'>In this video, you will learn about the SoftMax function.</p></td></tr><tr><td style='padding: 15px;'><p>6. Rectified Linear Unit (ReLU) Function</p><p style='margin: 0'>In this video, you will learn about Rectified Linear Unit (ReLU) function.</p></td></tr><tr><td style='padding: 15px;'><p>7. Leaky Rectified Linear Unit function</p><p style='margin: 0'>In this video, you will learn about the Leaky Rectified Linear Unit function.</p></td></tr></tbody></table><br><h4>6. Gradient Descent Algorithm</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Gradient Descent?</p><p style='margin: 0'>In this video, we will understand what Gradient Descent is.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Stochastic Gradient Descent?</p><p style='margin: 0'>In this video, we will understand what is Stochastic Gradient Descent?</p></td></tr><tr><td style='padding: 15px;'><p>3. Gradient Descent versus Stochastic Gradient Descent</p><p style='margin: 0'>In this video, you will learn about Gradient Decent versus Stochastic Gradient Descent.</p></td></tr></tbody></table><br><h4>7. Summary - Overview of Neural Networks</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How do Artificial Neural Networks Work?</p><p style='margin: 0'>In this video, we will understand how artificial neural networks work.</p></td></tr><tr><td style='padding: 15px;'><p>2. Advantages of Neural Networks</p><p style='margin: 0'>In this video, you will learn about the advantages of neural networks.</p></td></tr><tr><td style='padding: 15px;'><p>3. Disadvantages of Neural Networks</p><p style='margin: 0'>In this video, you will learn about the disadvantages of neural networks.</p></td></tr><tr><td style='padding: 15px;'><p>4. Applications of Neural Networks</p><p style='margin: 0'>In this video, you will learn about the applications of neural networks.</p></td></tr></tbody></table><br><h4>8. Implementation of ANN in Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, we will have a quick Introduction to this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Exploring the Dataset</p><p style='margin: 0'>In this video, you will learn how to explore the dataset.</p></td></tr><tr><td style='padding: 15px;'><p>3. Problem Statement</p><p style='margin: 0'>In this video, we will understand the problem statement.</p></td></tr><tr><td style='padding: 15px;'><p>4. Data Pre-Processing</p><p style='margin: 0'>In this video, you will learn how data pre-processing works.</p></td></tr><tr><td style='padding: 15px;'><p>5. Loading the Dataset</p><p style='margin: 0'>In this video, you will learn how to load the dataset.</p></td></tr><tr><td style='padding: 15px;'><p>6. Splitting the Dataset into Independent and Dependent Variables</p><p style='margin: 0'>In this video, you will learn how to split the dataset into independent and dependent variables.</p></td></tr><tr><td style='padding: 15px;'><p>7. Label Encoding Using Scikit-Learn</p><p style='margin: 0'>In this video, you will learn how to work with label encoding using scikit-learn</p></td></tr><tr><td style='padding: 15px;'><p>8. One-hot encoding using scikit-learn</p><p style='margin: 0'>In this video, we will learn how to work with One-hot encoding using scikit-learn.</p></td></tr><tr><td style='padding: 15px;'><p>9. Training and Test Sets: Splitting Data</p><p style='margin: 0'>In this video, we will be working on splitting the data with training and test sets.</p></td></tr><tr><td style='padding: 15px;'><p>10. Feature Scaling</p><p style='margin: 0'>In this video, you will learn about feature scaling.</p></td></tr><tr><td style='padding: 15px;'><p>11. Building the Artificial Neural Network</p><p style='margin: 0'>In this video, you will learn how to build the Artificial Neural Network</p></td></tr><tr><td style='padding: 15px;'><p>12. Adding the Input Layer and the First Hidden Layer</p><p style='margin: 0'>In this video, you will learn how to add the input layer and the first hidden layer.</p></td></tr><tr><td style='padding: 15px;'><p>13. Adding the Next Hidden Layer</p><p style='margin: 0'>In this video, you will learn how to add the next hidden layer.</p></td></tr><tr><td style='padding: 15px;'><p>14. Adding the Output Layer</p><p style='margin: 0'>In this video, you will learn how to add the output layer.</p></td></tr><tr><td style='padding: 15px;'><p>15. Compiling the Artificial Neural Network</p><p style='margin: 0'>In this video, you will learn how to compile the Artificial Neural Network.</p></td></tr><tr><td style='padding: 15px;'><p>16. Fitting the ANN Model to the Training Set</p><p style='margin: 0'>In this video, you will learn how to fit the ANN model into the training set.</p></td></tr><tr><td style='padding: 15px;'><p>17. Predicting the Test Set Results</p><p style='margin: 0'>In this video, you will learn how to predict the test set results.</p></td></tr></tbody></table><br><h4>9. Convolutional Neural Networks (CNN)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, we will have a quick Introduction to the learning goals for this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Components of Convolutional Neural Networks</p><p style='margin: 0'>In this video, you will learn about the components of Convolutional Neural Networks.</p></td></tr><tr><td style='padding: 15px;'><p>3. Convolution Layer</p><p style='margin: 0'>In this video, you will learn about the Convolution layer.</p></td></tr><tr><td style='padding: 15px;'><p>4. Pooling Layer</p><p style='margin: 0'>In this video, you will learn about Pooling layer.</p></td></tr><tr><td style='padding: 15px;'><p>5. Fully Connected Layer</p><p style='margin: 0'>In this video, you will learn about fully connected layer.</p></td></tr></tbody></table><br><h4>10. Implementation of CNN in Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Dataset</p><p style='margin: 0'>In this video, we are going to use the MNIST handwritten digit data which contains the images of handwritten digits.</p></td></tr><tr><td style='padding: 15px;'><p>2. Importing Libraries</p><p style='margin: 0'>In this video, you will learn how to import libraries.</p></td></tr><tr><td style='padding: 15px;'><p>3. Building the CNN Model</p><p style='margin: 0'>In this video, you will learn how to build the Convolutional Neural Networks (CNN) model.</p></td></tr><tr><td style='padding: 15px;'><p>4. Accuracy of the Model</p><p style='margin: 0'>In this video, you will learn about the accuracy of the Convolutional Neural Networks (CNN) model.</p></td></tr></tbody></table>

This comprehensive deep learning course with Python will start with the basics and work up to advanced topics such as using different frameworks in Python to solve real-world problems and building artificial neural networks with TensorFlow and Keras.
Python is famed as one of the best programming languages for its flexibility. It works in almost all fields, from web development to developing financial applications. However, it's no secret that Python's best application is in deep learning and artificial intelligence (AI) tasks. You'll start with an introduction to deep learning where you'll focus on the fundamentals of the deep learning theory and find out how to use deep learning in Python, before moving on to artificial neural networks (ANNs). You'll learn how to use different frameworks in Python to solve real-world problems using deep learning and artificial intelligence. Next, you'll discover how to make predictions using linear regression, polynomial regression, and multivariate regression, and build artificial neural networks with TensorFlow and Keras. The video also covers convolutional neural networks (CNNs) at length and goes through the different components such as convolution layer, pooling layer, and fully connected layer. Finally, you'll wrap up CNN implementation in Python. By the end of this course, you'll be able to use the concepts of deep learning to build neural networks in Python like a professional.
What You Will Learn
Get to grips with the fundamentals of the deep learning theory
Discover how to use deep learning in Python
Find out how to use different frameworks in Python
Build artificial neural networks with TensorFlow and Keras
Explore the implementation of ANNs and CNNs in Python
Audience
This course is for both programming beginners and professionals who want to expand on their knowledge of deep learning, or professional mathematicians looking to learn how to analyze data programmatically. Prerequisites include basic mathematical skills and Python coding experience.
Approach
This fundamentals training is excellent for both newcomers and seasoned professionals. This is the best course for you if you're looking for one that starts with the fundamentals and progresses to more complex subjects. It does not teach anything but what is necessary to get started with deep learning. This is pretty much everything you need to get started with the topic, and it also helps to keep the course quite concise.
Key Features
Fundamentals course designed for both beginners and experts alike * Use different frameworks in Python to solve real-world problems using deep learning and AI * Make predictions using linear regression, polynomial regression, and multivariate regression
Github Repo
https://github.com/PacktPublishing/Python-for-Deep-Learning---Build-Neural-Networks-in-Python
About the Author
Meta Brains
Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, they're focused on the next great revolution in computing: The Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!
Course Outline
1. Introduction to Deep Learning

1. Course Introduction
In this video, we will have a quick introduction to the course.
2. What is Deep Learning?
In this video, we will understand what deep learning is.
3. Why is Deep Learning Important?
In this video, we will understand the importance of deep learning.
4. Software and Frameworks
In this video, you will learn about software and frameworks.
2. Artificial Neural Networks (ANN)

1. Section Introduction
In this video, we will have a quick introduction to this section.
2. Anatomy and Function of Neurons
In this video, you will learn about the anatomy and function of neurons.
3. An Introduction to The Neural Network
In this video, we will have a quick introduction to the neural network.
4. Architecture of a Neural Network
In this video, you will learn about the architecture of a neural network.
3. Propagation of Information in ANNs

1. Feed-Forward and Back Propagation Networks
In this video, you will learn about feed-forward and back propagation networks.
2. Backpropagation in Neural Networks
In this video, you will learn about backpropagation in neural networks.
3. Minimizing the Cost Function Using Backpropagation
In this video, you will learn how to minimize the cost function using backpropagation.
4. Neural Network Architectures

1. Single Layer Perceptron (SLP) Model
In this video, you will learn about the Single-layer perceptron (SLP) model.
2. Radial Basis Network (RBN)
In this video, you will learn about Radial Basis Network (RBN).
3. Multi-Layer Perceptron (MLP) Neural Network
In this video, you will learn about multi-layer perceptron (MLP) Neural Network.
4. Recurrent Neural Network (RNN)
In this video, you will learn about Recurrent Neural Network (RNN).
5. Long Short-Term Memory (LSTM) Networks
In this video, you will learn about Long Short-Term Memory (LSTM) networks.
6. Hopfield Neural Network
In this video, you will learn about Hopfield neural network.
7. Boltzmann Machine Neural Network
In this video, you will learn about Boltzmann Machine Neural Network.
5. Activation Functions

1. What is the Activation Function?
In this video, we will understand what the Activation function is.
2. Important Terminologies
In this video, we will understand some important terminologies like differential function and monotonic function.
3. The Sigmoid Function
In this video, you will learn about the Sigmoid function.
4. Hyperbolic Tangent Function
In this video, you will learn about the Hyperbolic tangent function.
5. SoftMax Function
In this video, you will learn about the SoftMax function.
6. Rectified Linear Unit (ReLU) Function
In this video, you will learn about Rectified Linear Unit (ReLU) function.
7. Leaky Rectified Linear Unit function
In this video, you will learn about the Leaky Rectified Linear Unit function.
6. Gradient Descent Algorithm

1. What is Gradient Descent?
In this video, we will understand what Gradient Descent is.
2. What is Stochastic Gradient Descent?
In this video, we will understand what is Stochastic Gradient Descent?
3. Gradient Descent versus Stochastic Gradient Descent
In this video, you will learn about Gradient Decent versus Stochastic Gradient Descent.
7. Summary - Overview of Neural Networks

1. How do Artificial Neural Networks Work?
In this video, we will understand how artificial neural networks work.
2. Advantages of Neural Networks
In this video, you will learn about the advantages of neural networks.
3. Disadvantages of Neural Networks
In this video, you will learn about the disadvantages of neural networks.
4. Applications of Neural Networks
In this video, you will learn about the applications of neural networks.
8. Implementation of ANN in Python

1. Introduction
In this video, we will have a quick Introduction to this section.
2. Exploring the Dataset
In this video, you will learn how to explore the dataset.
3. Problem Statement
In this video, we will understand the problem statement.
4. Data Pre-Processing
In this video, you will learn how data pre-processing works.
5. Loading the Dataset
In this video, you will learn how to load the dataset.
6. Splitting the Dataset into Independent and Dependent Variables
In this video, you will learn how to split the dataset into independent and dependent variables.
7. Label Encoding Using Scikit-Learn
In this video, you will learn how to work with label encoding using scikit-learn
8. One-hot encoding using scikit-learn
In this video, we will learn how to work with One-hot encoding using scikit-learn.
9. Training and Test Sets: Splitting Data
In this video, we will be working on splitting the data with training and test sets.
10. Feature Scaling
In this video, you will learn about feature scaling.
11. Building the Artificial Neural Network
In this video, you will learn how to build the Artificial Neural Network
12. Adding the Input Layer and the First Hidden Layer
In this video, you will learn how to add the input layer and the first hidden layer.
13. Adding the Next Hidden Layer
In this video, you will learn how to add the next hidden layer.
14. Adding the Output Layer
In this video, you will learn how to add the output layer.
15. Compiling the Artificial Neural Network
In this video, you will learn how to compile the Artificial Neural Network.
16. Fitting the ANN Model to the Training Set
In this video, you will learn how to fit the ANN model into the training set.
17. Predicting the Test Set Results
In this video, you will learn how to predict the test set results.
9. Convolutional Neural Networks (CNN)

1. Introduction
In this video, we will have a quick Introduction to the learning goals for this section.
2. Components of Convolutional Neural Networks
In this video, you will learn about the components of Convolutional Neural Networks.
3. Convolution Layer
In this video, you will learn about the Convolution layer.
4. Pooling Layer
In this video, you will learn about Pooling layer.
5. Fully Connected Layer
In this video, you will learn about fully connected layer.
10. Implementation of CNN in Python

1. Dataset
In this video, we are going to use the MNIST handwritten digit data which contains the images of handwritten digits.
2. Importing Libraries
In this video, you will learn how to import libraries.
3. Building the CNN Model
In this video, you will learn how to build the Convolutional Neural Networks (CNN) model.
4. Accuracy of the Model
In this video, you will learn about the accuracy of the Convolutional Neural Networks (CNN) model.

Packt

Data Science

Python

TensorFlow

This comprehensive deep learning course with Python will start with the basics and work up to advanced topics such as using different frameworks in Python to solve real-world problems and building artificial neural networks with TensorFlow and Keras.

Python for Deep Learning - Build Neural Networks in Python

General Admission

Java

Android

Programming

Programming in C - The Complete Course

<strong>Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.</strong>
        <p>Unlock the power of deep learning and take your machine learning skills to the next level with our comprehensive course on deep neural networks.

This hands-on course will provide you with a solid understanding of the fundamentals of deep learning, including artificial neural networks, activation functions, bias, data, and loss functions. You will learn the basics of Python, with a focus on data science, as well as the essential tools for cleaning and examining data, plotting with Matplotlib, and working with NumPy and Pandas.

With this foundation in place, you will dive deep into the world of deep learning, starting with the MP Neuron model and progressing to the Perceptron, the Sigmoid Neuron, and the Universal Approximation Theorem. You will explore common activation functions, such as ReLU and SoftMax, and learn how to apply them in real-world applications.

Through a series of practical exercises, you will gain hands-on experience with TensorFlow 2.x, one of the most popular deep learning frameworks in use today. You will learn how to create and train deep neural networks, evaluate their performance, and fine-tune them for optimal results.

By the end of the course, you will be well on your way to becoming a deep learning expert in no time.</p>
        <h2>What You Will Learn</h2><p>Learn about the fundamentals of Python and some of its well-known libraries<br>Understand the fundamentals of deep learning and neural networks<br>Build and train your own deep neural network models<br>Learn different activation functions and optimization algorithms<br>Learn techniques for improving model performance and reducing overfitting<br>Apply deep learning to real-world problems in various fields</p>
        <h2>Audience</h2><p>This course is suitable for anyone interested in exploring the field of deep learning and building a solid foundation in artificial neural networks. No prior experience in programming or machine learning is required, making it an ideal starting point for beginners. It is ideal for students, professionals, and anyone who wants to enhance their skills and stay up-to-date with the latest developments in the field of artificial intelligence. Whether you are looking to kickstart your career or simply want to explore the exciting world of deep learning, this course is a great choice.</p>
        <h2>Approach</h2><p>The course adopts a practical, hands-on learning approach that focuses on building intuition and mastery through implementation. Students will work through a series of exercises and projects designed to help them understand the fundamental concepts of deep learning and develop their skills in Python programming, data analysis, and neural network design.</p>
        <h2>Key Features</h2><p>Practical hands-on exercises to build intuition on deep neural networks * Learn essential concepts in deep learning through practical applications * A comprehensive understanding of neural network architecture and design</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Deep-Learning---Crash-Course-2023</p>
        <h2>About the Author</h2><h3>Manifold AI Learning</h3><p>Manifold AI Learning is an online academy with the goal to empower students with the knowledge and skills that can be directly applied to solving real-world problems in data science, machine learning, and artificial intelligence.

With a curated curriculum and a hands-on guide, you will always be an industry-ready professional.</p>
        <h2>Course Outline</h2><h4>1. Welcome</h4><p></p><br><h4>1. Welcome on Board</h4><p></p><br><h4>2. Getting the Basics Right</h4><p></p><br><h4>3. Python Crash Course on Basics</h4><p></p><br><h4>4. Python for Data Science - Crash Course</h4><p></p><br><h4>5. MP Neuron Model</h4><p></p><br><h4>5. MP Neuron Model</h4><p></p><br><h4>6. MP Neuron in Python</h4><p></p><br><h4>7. Summary of MP Neuron</h4><p></p><br><h4>7. Summary of MP Neuron</h4><p></p><br><h4>8. Perceptron</h4><p></p><br><h4>9. Perceptron in Python</h4><p></p><br><h4>10. Sigmoid Neuron</h4><p></p><br><h4>11. Sigmoid Neuron Implement with Python</h4><p></p><br><h4>12. Basic Probability</h4><p></p><br><h4>12. Basic Probability</h4><p></p><br><h4>13. Why Deep Neural Networks - Intuition</h4><p></p><br><h4>13. Deep Neural Networks</h4><p></p><br><h4>14. Universal Approximation Theorem</h4><p></p><br><h4>15. Deep Learning with TensorFlow 2.x</h4><p></p><br><h4>16. Activation Functions in Deep Learning Neural Networks</h4><p></p><br><h4>17. Applying Deep Learning</h4><p></p>

Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.
Unlock the power of deep learning and take your machine learning skills to the next level with our comprehensive course on deep neural networks. This hands-on course will provide you with a solid understanding of the fundamentals of deep learning, including artificial neural networks, activation functions, bias, data, and loss functions. You will learn the basics of Python, with a focus on data science, as well as the essential tools for cleaning and examining data, plotting with Matplotlib, and working with NumPy and Pandas. With this foundation in place, you will dive deep into the world of deep learning, starting with the MP Neuron model and progressing to the Perceptron, the Sigmoid Neuron, and the Universal Approximation Theorem. You will explore common activation functions, such as ReLU and SoftMax, and learn how to apply them in real-world applications. Through a series of practical exercises, you will gain hands-on experience with TensorFlow 2.x, one of the most popular deep learning frameworks in use today. You will learn how to create and train deep neural networks, evaluate their performance, and fine-tune them for optimal results. By the end of the course, you will be well on your way to becoming a deep learning expert in no time.
What You Will Learn
Learn about the fundamentals of Python and some of its well-known libraries

Understand the fundamentals of deep learning and neural networks

Build and train your own deep neural network models

Learn different activation functions and optimization algorithms

Learn techniques for improving model performance and reducing overfitting

Apply deep learning to real-world problems in various fields
Audience
This course is suitable for anyone interested in exploring the field of deep learning and building a solid foundation in artificial neural networks. No prior experience in programming or machine learning is required, making it an ideal starting point for beginners. It is ideal for students, professionals, and anyone who wants to enhance their skills and stay up-to-date with the latest developments in the field of artificial intelligence. Whether you are looking to kickstart your career or simply want to explore the exciting world of deep learning, this course is a great choice.
Approach
The course adopts a practical, hands-on learning approach that focuses on building intuition and mastery through implementation. Students will work through a series of exercises and projects designed to help them understand the fundamental concepts of deep learning and develop their skills in Python programming, data analysis, and neural network design.
Key Features
Practical hands-on exercises to build intuition on deep neural networks * Learn essential concepts in deep learning through practical applications * A comprehensive understanding of neural network architecture and design
Github Repo
https://github.com/PacktPublishing/Deep-Learning---Crash-Course-2023
About the Author
Manifold AI Learning
Manifold AI Learning is an online academy with the goal to empower students with the knowledge and skills that can be directly applied to solving real-world problems in data science, machine learning, and artificial intelligence. With a curated curriculum and a hands-on guide, you will always be an industry-ready professional.
Course Outline
1. Welcome

1. Welcome on Board

2. Getting the Basics Right

3. Python Crash Course on Basics

4. Python for Data Science - Crash Course

5. MP Neuron Model

5. MP Neuron Model

6. MP Neuron in Python

7. Summary of MP Neuron

7. Summary of MP Neuron

8. Perceptron

9. Perceptron in Python

10. Sigmoid Neuron

11. Sigmoid Neuron Implement with Python

12. Basic Probability

12. Basic Probability

13. Why Deep Neural Networks - Intuition

13. Deep Neural Networks

14. Universal Approximation Theorem

15. Deep Learning with TensorFlow 2.x

16. Activation Functions in Deep Learning Neural Networks

17. Applying Deep Learning


Keras

Pandas

Deep Learning

Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.

Deep Learning - Crash Course 2023

<strong>This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.</strong>
        <p>If you work in any functional areas of data analysis, machine learning, and artificial intelligence, you will want to be familiar with or master Pandas. Pandas is a popular Python library used for data analysis and manipulation, commonly used with data analysis, artificial intelligence, and machine learning. Pandas enables quick and efficient data manipulation, aggregation, pivoting, and flexible time series.

This course will introduce you to the basics of data analysis using the Pandas library. You will learn to work with two primary data structures in Pandas, Series and Data Frame. Then, we will take a look at how to read data from a file and explore input data using indexing and filtering, at which point you will be ready for data preprocessing. Next, we will focus on handling missing values and duplicate rows and transforming data into a more efficient format. You will also discover how to manipulate data and data processing. Finally, we will dive into creating simple plots to visualize the data.

By the end of this course, you can use OOPs paradigm to create class hierarchies with the OOP design process. You can design and implement Python programs for complex issues and make good use of the features like classes and inheritance.

All resources are available at: https://github.com/PacktPublishing/pandas-for-Beginners---A-Quick-Guide</p>
        <h2>What You Will Learn</h2><p>Learn basic data analysis with Pandas' open-source Python library<br>Use the two primary Pandas data structures, Series and DataFrame<br>Process varied data types and manipulate data with string function<br>Organize input with index and filter, preprocess data with Pandas<br>Format and process different kinds of data most efficiently<br>Manipulate, aggregate, and pivot data flexibly and efficiently</p>
        <h2>Audience</h2><p>This course targets beginner Python developers or those who want to learn and use the Pandas library for Python. Data analysts, project management analysts, and those working in artificial intelligence, machine learning, or data science can benefit from this course immensely. For those managers and executives that handle a lot of data and create analytic reporting material, this course could help them as well in their data science projects. This course assumes no previous experience in Pandas, but a fundamental understanding of basic Python syntax is needed since it is built for Python.</p>
        <h2>Approach</h2><p>The course offers interactive onscreen demonstrations of the Pandas library, its installation, and setup, getting familiar with the usage and manipulation of data with examples and explanations. It is loaded with quizzes and project examples that can be attempted as you learn. It offers individual videos and course files to follow along.</p>
        <h2>Key Features</h2><p>Learn to view data imported from an external source * Understand data analysis basics with Pandas and data structures, Series and DataFrame * Explore data manipulation and processing using Pandas and create simple plots to visualize data</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/pandas-for-Beginners---A-Quick-Guide</p>
        <h2>About the Author</h2><h3>Simon Sez IT</h3><p>Simon Sez IT has offered technical courses for individuals, small businesses, and Fortune 500 companies since 2008, with thousands of employees who can benefit from the easy-to-learn and hands-on software training. It offers over 8,000 video tutorials on a range of software programs.

Simon Sez IT ensures stress-free eLearning and enhanced employee productivity-whether you implement new software or a technological upgrade in your work environment. With over 600,000 students from 180 countries, Simon Sez IT is the preferred online learning choice for individuals and businesses worldwide.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Pandas</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Pandas</p><p style='margin: 0'>This video will look at an introductory overview of the Pandas course and what we will be learning about. It also takes us through an outline of the features and capabilities of Pandas and their use.</p></td></tr><tr><td style='padding: 15px;'><p>2. Pandas Installation</p><p style='margin: 0'>This video demonstrates how to install Pandas and discusses everything that is needed for starting to use Pandas. It takes us through installing Python and the Pandas library and shows how to install Jupyter notebook.</p></td></tr></tbody></table><br><h4>2. Pandas Objects</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Pandas Series</p><p style='margin: 0'>In this video, we will look at an introductory outline of the Pandas series and NumPy arrays, which makes the code fast and optimized.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Pandas Data Frame</p><p style='margin: 0'>In this lesson, you will learn about the second primary data structure called Pandas Data Frame, which is a tabular data structure. We will understand the data frame and its operability. We will also learn about the Pandas dictionary.</p></td></tr><tr><td style='padding: 15px;'><p>3. Reading Data from Files</p><p style='margin: 0'>After learning about the Data Frame, we will look into how to read .csv files, a common datasheet. You will also learn about the pd.read_csv() call function. The author provides learning datasets and how to solve issues by correcting the datasets. The video also explains headers and adding values from the datasets to a data frame.</p></td></tr><tr><td style='padding: 15px;'><p>4. Selection and Filtering Pandas</p><p style='margin: 0'>In this video, you will learn about extracting part of the data frame using the selection operation. We will also look at accessing one or more columns using "[] and iloc and loc." We will look at how to select a part of the data frame in detail.</p></td></tr></tbody></table><br><h4>3. Data Preprocessing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Handling Missing Values and Duplicates</p><p style='margin: 0'>During the data analysis, significant time is spent on data cleaning and transformation. Pandas provides the tool to handle such data. In this video, you will learn about handling missing data and duplicates. You will learn to eliminate rows with missing values and fill missing values and look at duplicates similarly.</p></td></tr><tr><td style='padding: 15px;'><p>2. DataFrame Manipulation</p><p style='margin: 0'>Here, you will learn how to rename columns in a data frame. We will look at adding columns to a data frame, concatenating a data frame, and removing columns with the drop method.</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Transformation</p><p style='margin: 0'>In this video, you will learn how to convert String data to a category and discretize a continuous variable and convert it into a categorical feature.</p></td></tr></tbody></table><br><h4>4. Data Processing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Processing Numerical Data for Pandas</p><p style='margin: 0'>In this video, you will learn about the various powerful tools available for numerical and statistical analysis on Pandas. We will look at the described () method, minimum and maximum values, and obtain the mean, median, variance, and standard deviation.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing String Format</p><p style='margin: 0'>In this lesson, we will continue processing data, but this time with string format data. String features have their operations. We will look at all the powerful tools on Pandas for handling string data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Processing-Date/Time Format</p><p style='margin: 0'>Here, we will understand how to process and manipulate date/time data values. We will learn the most common and practical methods to manipulate and analyze date/time data.</p></td></tr></tbody></table><br><h4>5. Data Processing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Visualize your Data</p><p style='margin: 0'>In this video, you will learn about data visualization. We will look at the basic and simple plots like the scatter plot, line plot, histogram, bar chart, and pie chart.</p></td></tr></tbody></table>

This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.
If you work in any functional areas of data analysis, machine learning, and artificial intelligence, you will want to be familiar with or master Pandas. Pandas is a popular Python library used for data analysis and manipulation, commonly used with data analysis, artificial intelligence, and machine learning. Pandas enables quick and efficient data manipulation, aggregation, pivoting, and flexible time series. This course will introduce you to the basics of data analysis using the Pandas library. You will learn to work with two primary data structures in Pandas, Series and Data Frame. Then, we will take a look at how to read data from a file and explore input data using indexing and filtering, at which point you will be ready for data preprocessing. Next, we will focus on handling missing values and duplicate rows and transforming data into a more efficient format. You will also discover how to manipulate data and data processing. Finally, we will dive into creating simple plots to visualize the data. By the end of this course, you can use OOPs paradigm to create class hierarchies with the OOP design process. You can design and implement Python programs for complex issues and make good use of the features like classes and inheritance. All resources are available at: https://github.com/PacktPublishing/pandas-for-Beginners---A-Quick-Guide
What You Will Learn
Learn basic data analysis with Pandas' open-source Python library
Use the two primary Pandas data structures, Series and DataFrame
Process varied data types and manipulate data with string function
Organize input with index and filter, preprocess data with Pandas
Format and process different kinds of data most efficiently
Manipulate, aggregate, and pivot data flexibly and efficiently
Audience
This course targets beginner Python developers or those who want to learn and use the Pandas library for Python. Data analysts, project management analysts, and those working in artificial intelligence, machine learning, or data science can benefit from this course immensely. For those managers and executives that handle a lot of data and create analytic reporting material, this course could help them as well in their data science projects. This course assumes no previous experience in Pandas, but a fundamental understanding of basic Python syntax is needed since it is built for Python.
Approach
The course offers interactive onscreen demonstrations of the Pandas library, its installation, and setup, getting familiar with the usage and manipulation of data with examples and explanations. It is loaded with quizzes and project examples that can be attempted as you learn. It offers individual videos and course files to follow along.
Key Features
Learn to view data imported from an external source * Understand data analysis basics with Pandas and data structures, Series and DataFrame * Explore data manipulation and processing using Pandas and create simple plots to visualize data
Github Repo
https://github.com/PacktPublishing/pandas-for-Beginners---A-Quick-Guide
About the Author
Simon Sez IT
Simon Sez IT has offered technical courses for individuals, small businesses, and Fortune 500 companies since 2008, with thousands of employees who can benefit from the easy-to-learn and hands-on software training. It offers over 8,000 video tutorials on a range of software programs. Simon Sez IT ensures stress-free eLearning and enhanced employee productivity-whether you implement new software or a technological upgrade in your work environment. With over 600,000 students from 180 countries, Simon Sez IT is the preferred online learning choice for individuals and businesses worldwide.
Course Outline
1. Introduction to Pandas

1. Introduction to Pandas
This video will look at an introductory overview of the Pandas course and what we will be learning about. It also takes us through an outline of the features and capabilities of Pandas and their use.
2. Pandas Installation
This video demonstrates how to install Pandas and discusses everything that is needed for starting to use Pandas. It takes us through installing Python and the Pandas library and shows how to install Jupyter notebook.
2. Pandas Objects

1. Introduction to Pandas Series
In this video, we will look at an introductory outline of the Pandas series and NumPy arrays, which makes the code fast and optimized.
2. Introduction to Pandas Data Frame
In this lesson, you will learn about the second primary data structure called Pandas Data Frame, which is a tabular data structure. We will understand the data frame and its operability. We will also learn about the Pandas dictionary.
3. Reading Data from Files
After learning about the Data Frame, we will look into how to read .csv files, a common datasheet. You will also learn about the pd.read_csv() call function. The author provides learning datasets and how to solve issues by correcting the datasets. The video also explains headers and adding values from the datasets to a data frame.
4. Selection and Filtering Pandas
In this video, you will learn about extracting part of the data frame using the selection operation. We will also look at accessing one or more columns using "[] and iloc and loc." We will look at how to select a part of the data frame in detail.
3. Data Preprocessing

1. Handling Missing Values and Duplicates
During the data analysis, significant time is spent on data cleaning and transformation. Pandas provides the tool to handle such data. In this video, you will learn about handling missing data and duplicates. You will learn to eliminate rows with missing values and fill missing values and look at duplicates similarly.
2. DataFrame Manipulation
Here, you will learn how to rename columns in a data frame. We will look at adding columns to a data frame, concatenating a data frame, and removing columns with the drop method.
3. Data Transformation
In this video, you will learn how to convert String data to a category and discretize a continuous variable and convert it into a categorical feature.
4. Data Processing

1. Processing Numerical Data for Pandas
In this video, you will learn about the various powerful tools available for numerical and statistical analysis on Pandas. We will look at the described () method, minimum and maximum values, and obtain the mean, median, variance, and standard deviation.
2. Processing String Format
In this lesson, we will continue processing data, but this time with string format data. String features have their operations. We will look at all the powerful tools on Pandas for handling string data.
3. Processing-Date/Time Format
Here, we will understand how to process and manipulate date/time data values. We will learn the most common and practical methods to manipulate and analyze date/time data.
5. Data Processing

1. Visualize your Data
In this video, you will learn about data visualization. We will look at the basic and simple plots like the scatter plot, line plot, histogram, bar chart, and pie chart.

Data Analysis

This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.

Pandas for Beginners - A Quick Guide

<strong>Learn Microsoft Enterprise Mobility and Security Training</strong>
        <p>It's one of today's most important mobility challenges: How do you empower employees to be productive, while still protecting the massive amounts of data moving through your organization's mobile environment? Microsoft Enterprise Mobility + Security (EMS) provides the mobile productivity your employees want and the data protection your company needs. Through our EMS Learning Path, learn how EMS provides the tools to achieve both, providing your organization maximum mobile productivity. 
By taking the EMS Learning Path, you'll learn to leverage the features offered in EMS to enable your organization to:
&bull; Allow admins to configure devices with policies and certificates that allow users to easily access email, Wi-Fi, apps, and other corporate resources
&bull; Provide users with the convenience of single sign-on access to thousands of cloud and on-premises applications
&bull; Maintain control over any data that moves through Outlook, Word, PowerPoint, Excel, and Skype for Business
&bull; Enable users to share files securely.
By taking this course, you will learn how to meet the challenges of enhancing the security and communications of your employees without interrupting workflow across users, devices, and apps. 

All the code files are placed at https://github.com/PacktPublishing/Microsoft-Enterprise-Mobility-and-Security-Training</p>
        <h2>What You Will Learn</h2><p>&bull; Empower your users with self-service capabilities<br>&bull; Enable admins to control access to data based on real-time context</p>
        <h2>Audience</h2><p>Anyone who wants to learn about Microsoft Enterprise Mobility + Security (EMS).</p>
        <h2>Approach</h2><p>This course is designed in such a way that each section will cover the new scenario and a step-by-step approach to help you learn and understand the concept.</p>
        <h2>Key Features</h2><p>&bull; Protect apps with comprehensive protection policies * &bull; Allow employees to work securely from virtually any phone, tablet or PC</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/microsoft-enterprise-mobility-and-security-training</p>
        <h2>About the Author</h2><h3>Social27 Inc.</h3><p>22-05-2018: Contacted for Cyber security courses. Their brand name is 'CyberTraining 365' which is what they would like to appear on the public channels.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Microsoft Enterprise Mobility + Security</h4><p></p><br><h4>2. EMS - Identity and Access Management</h4><p></p><br><h4>3. EMS - Rights Management Services</h4><p></p><br><h4>4. EMS Components - EU GDPR Compliance</h4><p></p><br><h4>5. EMS - Information Security and Data Protection</h4><p></p><br><h4>6. EMS - Cloud App Security</h4><p></p><br><h4>7. EMS - Mobile Device and Application Management</h4><p></p><br><h4>8. EMS - Desktop Virtualization</h4><p></p><br><h4>9. EMS - Advanced Threat Analytics</h4><p></p>

Learn Microsoft Enterprise Mobility and Security Training
It's one of today's most important mobility challenges: How do you empower employees to be productive, while still protecting the massive amounts of data moving through your organization's mobile environment? Microsoft Enterprise Mobility + Security (EMS) provides the mobile productivity your employees want and the data protection your company needs. Through our EMS Learning Path, learn how EMS provides the tools to achieve both, providing your organization maximum mobile productivity. By taking the EMS Learning Path, you'll learn to leverage the features offered in EMS to enable your organization to:
• Allow admins to configure devices with policies and certificates that allow users to easily access email, Wi-Fi, apps, and other corporate resources
• Provide users with the convenience of single sign-on access to thousands of cloud and on-premises applications
• Maintain control over any data that moves through Outlook, Word, PowerPoint, Excel, and Skype for Business
• Enable users to share files securely.
By taking this course, you will learn how to meet the challenges of enhancing the security and communications of your employees without interrupting workflow across users, devices, and apps. All the code files are placed at https://github.com/PacktPublishing/Microsoft-Enterprise-Mobility-and-Security-Training
What You Will Learn
• Empower your users with self-service capabilities
• Enable admins to control access to data based on real-time context
Audience
Anyone who wants to learn about Microsoft Enterprise Mobility + Security (EMS).
Approach
This course is designed in such a way that each section will cover the new scenario and a step-by-step approach to help you learn and understand the concept.
Key Features
• Protect apps with comprehensive protection policies * • Allow employees to work securely from virtually any phone, tablet or PC
Github Repo
https://github.com/packtpublishing/microsoft-enterprise-mobility-and-security-training
About the Author
Social27 Inc.
22-05-2018: Contacted for Cyber security courses. Their brand name is 'CyberTraining 365' which is what they would like to appear on the public channels.
Course Outline
1. Introduction to Microsoft Enterprise Mobility + Security

2. EMS - Identity and Access Management

3. EMS - Rights Management Services

4. EMS Components - EU GDPR Compliance

5. EMS - Information Security and Data Protection

6. EMS - Cloud App Security

7. EMS - Mobile Device and Application Management

8. EMS - Desktop Virtualization

9. EMS - Advanced Threat Analytics


JavaScript

Microsoft

Learn Microsoft Enterprise Mobility and Security Training

Microsoft Enterprise Mobility and Security Training

Data Visualization

Data Storytelling

This beginner-friendly course takes us on a journey into data visualization. You will learn to transform raw data into stunning visuals using Matplotlib, Seaborn, and Plotly. From charts to dynamic heatmaps, we will master the essentials. Fuel your curiosity, enhance your skills, and communicate insights effectively to become a Python data visualization pro!

Python for Data Visualization - A Beginner's Guide

<strong>In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.</strong>
        <p>In the first and second course of the 'Machine Learning for Absolute Beginners' training program, you have learned the fundamentals of AI and machine learning and discovered methods to pre-process the data before moving it into the machine learning algorithms. In this third and final course of the program, you will learn how to create eye-catching data visualizations using Python, Seaborn, and Matplotlib.

The course starts by highlighting the learning objectives and then takes you through the fundamentals of Matplotlib and Seaborn. You will learn how to use figures, axes, customization techniques, and NumPy to perform data visualization. In the rest of this course, you will discover how to develop the ranking, proportion, trend, distribution, and correlation charts.

By the end of this course, you will have the knowledge and skills to perform data visualization and exploratory data analysis (EDA) using Python, Matplotlib, and Seaborn.

The code files and all related files are placed on GitHub at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-3</p>
        <h2>What You Will Learn</h2><p>Become familiar with object-oriented and Pyplot interfaces of Matplotlib<br>Understand Seaborn and figure-level and axes-level functions<br>Find out how to create pie, treemap, and swarm charts<br>Plot histogram, density, box, and whisker charts<br>Create bar, grouped bar, stacked bar, and lollipop charts<br>Create scatter, correlogram, line, and area charts</p>
        <h2>Audience</h2><p>This course is designed for absolute beginners who want to learn how to visualize and create appealing charts using Python, Matplotlib, and Seaborn. Basic Python skills and good knowledge of the Pandas library is needed to get started with this course. Hence, it is recommended to complete Level 1 and Level 2 of the "Machine Learning for Absolute Beginners" training program before taking up this course.</p>
        <h2>Approach</h2><p>With the help of exercises and activities, this course will show you how to use Python, Matplotlib, and Seaborn for data visualization and exploratory data analysis (EDA).</p>
        <h2>Key Features</h2><p>Grasp the fundamentals of Matplotlib and Seaborn * Become confident in performing exploratory data analysis (EDA) for any data sets * Get ready to visualize data using a variety of charts</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-3</p>
        <h2>About the Author</h2><h3>Idan Gabrieli</h3><p>Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies.

Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers.

Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.</p>
        <h2>Course Outline</h2><h4>1. Getting Started with Level 3!</h4><p></p><br><h4>2. Data Visualization with Matplotlib and Seaborn</h4><p></p><br><h4>3. Ranking and Proportion Charts</h4><p></p><br><h4>4. Trend and Distribution Charts</h4><p></p><br><h4>5. Correlation Charts</h4><p></p><br><h4>6. Course Summary</h4><p></p>

In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.
In the first and second course of the 'Machine Learning for Absolute Beginners' training program, you have learned the fundamentals of AI and machine learning and discovered methods to pre-process the data before moving it into the machine learning algorithms. In this third and final course of the program, you will learn how to create eye-catching data visualizations using Python, Seaborn, and Matplotlib. The course starts by highlighting the learning objectives and then takes you through the fundamentals of Matplotlib and Seaborn. You will learn how to use figures, axes, customization techniques, and NumPy to perform data visualization. In the rest of this course, you will discover how to develop the ranking, proportion, trend, distribution, and correlation charts. By the end of this course, you will have the knowledge and skills to perform data visualization and exploratory data analysis (EDA) using Python, Matplotlib, and Seaborn. The code files and all related files are placed on GitHub at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-3
What You Will Learn
Become familiar with object-oriented and Pyplot interfaces of Matplotlib
Understand Seaborn and figure-level and axes-level functions
Find out how to create pie, treemap, and swarm charts
Plot histogram, density, box, and whisker charts
Create bar, grouped bar, stacked bar, and lollipop charts
Create scatter, correlogram, line, and area charts
Audience
This course is designed for absolute beginners who want to learn how to visualize and create appealing charts using Python, Matplotlib, and Seaborn. Basic Python skills and good knowledge of the Pandas library is needed to get started with this course. Hence, it is recommended to complete Level 1 and Level 2 of the "Machine Learning for Absolute Beginners" training program before taking up this course.
Approach
With the help of exercises and activities, this course will show you how to use Python, Matplotlib, and Seaborn for data visualization and exploratory data analysis (EDA).
Key Features
Grasp the fundamentals of Matplotlib and Seaborn * Become confident in performing exploratory data analysis (EDA) for any data sets * Get ready to visualize data using a variety of charts
Github Repo
https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-3
About the Author
Idan Gabrieli
Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies. Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers. Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.
Course Outline
1. Getting Started with Level 3!

2. Data Visualization with Matplotlib and Seaborn

3. Ranking and Proportion Charts

4. Trend and Distribution Charts

5. Correlation Charts

6. Course Summary


In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.

Machine Learning for Absolute Beginners - Level 3

This course offers an immersive experience in data analysis, guiding you from initial setup with Python and Pandas, through series and DataFrame manipulation, to advanced data visualization techniques. Perfect for enhancing your data handling and analysis skills.

Data Analysis with Pandas and Python

<strong>Python programming and Ruby coding are popular for a reason! Become a software coder, web developer, or hacker today</strong>
        <p>In this course, you'll learn the Python 3 programming language and the Ruby programming language from an absolute beginner level to advanced-in no time at all! This course targets absolute beginners; you don't need any coding experience at all!

We start by setting up, downloading, and installing Python and the Sublime Text Editor-both for free. This will give you all the tools you need to start writing and running Python code. 

For Ruby, we'll use a free online development environment (or you can download Ruby yourself onto your computer).

Then, we'll delve into very basic computer science concepts, such as:
&bull;	Printing to the screen
&bull;	String manipulation
&bull;	Variables
&bull;	Data types (lists, tuples, dictionaries and more)
&bull;	Simple math
&bull;	Comparison operators
&bull;	Assignment operators

After that, we'll move on to more intermediate topics such as:
&bull;	Conditional if/else statements
&bull;	While loops
&bull;	For loops
&bull;	Fizzbuzz

Finally, we'll finish up with more advanced topics like:
&bull;	Functions
&bull;	Modules
&bull;	Classes

We'll learn all these things for both Python and Ruby. We start with Python, and then on to Ruby in the second half of the course.</p>
        <h2>What You Will Learn</h2><p>Learn actual, applicable programming concepts.<br>Understand basic topics such as variables, data types, conditional if/else and comparisons, and while/for loops</p>
        <h2>Audience</h2><p>This course targets absolute beginners who want to learn the Python and Ruby programming languages.</p>
        <h2>Approach</h2><p>This course is a step-by-step approach, just follow along with the instructor and build what he builds. Learn as you build with this hands-on video series.</p>
        <h2>Key Features</h2><p>Learn Python from beginner to advanced * Understand programming concepts applicable to any programming language * Learn Ruby from beginner to advanced</p>
        
        <h2>About the Author</h2><h3>John Elder</h3><p>John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries.

John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.</p>
        <h2>Course Outline</h2><h4>1. Beginners Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro - Python 3 vs Python 2 - Which Should You Use?</p><p style='margin: 0'>Beginners Python: Intro - Python 3 vs Python 2 - Which Should You Use?</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python</p><p style='margin: 0'>Beginners Python: Installing Python</p></td></tr><tr><td style='padding: 15px;'><p>3. First Program - Hello World!</p><p style='margin: 0'>Beginners Python: First Program - Hello World!</p></td></tr><tr><td style='padding: 15px;'><p>4. Comments and Clearing the Screen</p><p style='margin: 0'>Beginners Python: Comments and Clearing the Screen</p></td></tr><tr><td style='padding: 15px;'><p>5. Variables</p><p style='margin: 0'>Beginners Python: Variables</p></td></tr><tr><td style='padding: 15px;'><p>6. Intro to Data Types</p><p style='margin: 0'>Beginners Python: Intro to Data Types</p></td></tr><tr><td style='padding: 15px;'><p>7. Strings</p><p style='margin: 0'>Beginners Python: Strings</p></td></tr><tr><td style='padding: 15px;'><p>8. String Manipulation</p><p style='margin: 0'>Beginners Python: String Manipulation</p></td></tr><tr><td style='padding: 15px;'><p>9. Math with Python</p><p style='margin: 0'>Beginners Python: Math with Python</p></td></tr><tr><td style='padding: 15px;'><p>10. Floats and Ints</p><p style='margin: 0'>Beginners Python: Floats and Ints</p></td></tr><tr><td style='padding: 15px;'><p>11. Assignment Operators</p><p style='margin: 0'>Beginners Python: Assignment Operators</p></td></tr><tr><td style='padding: 15px;'><p>12. Lists</p><p style='margin: 0'>Beginners Python: Lists</p></td></tr><tr><td style='padding: 15px;'><p>13. Tuples</p><p style='margin: 0'>Beginners Python: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>14. Dictionaries</p><p style='margin: 0'>Beginners Python: Dictionaries</p></td></tr></tbody></table><br><h4>2. Intermediate Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Comparison Operators</p><p style='margin: 0'>Intermediate Python: Comparison Operators</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Statements</p><p style='margin: 0'>Intermediate Python: Conditional Statements</p></td></tr><tr><td style='padding: 15px;'><p>3. Multiple Conditional Statements</p><p style='margin: 0'>Intermediate Python: Multiple Conditional Statements</p></td></tr><tr><td style='padding: 15px;'><p>4. While Loops</p><p style='margin: 0'>Intermediate Python: While Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. For Loops</p><p style='margin: 0'>Intermediate Python: For Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Let's Build FizzBuzz!</p><p style='margin: 0'>Intermediate Python: Let's Build FizzBuzz!</p></td></tr></tbody></table><br><h4>3. Advanced Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Functions</p><p style='margin: 0'>Advanced Python: Functions</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions Part 2</p><p style='margin: 0'>Advanced Python: Functions Part 2</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules</p><p style='margin: 0'>Advanced Python: Modules</p></td></tr><tr><td style='padding: 15px;'><p>4. Intro To Classes</p><p style='margin: 0'>Advanced Python: Intro To Classes</p></td></tr><tr><td style='padding: 15px;'><p>5. Classes Part 1</p><p style='margin: 0'>Advanced Python: Classes Part 1</p></td></tr><tr><td style='padding: 15px;'><p>6. Classes Part 2</p><p style='margin: 0'>Advanced Python: Classes Part 2</p></td></tr><tr><td style='padding: 15px;'><p>7. Classes Part 3</p><p style='margin: 0'>Advanced Python: Classes Part 3</p></td></tr><tr><td style='padding: 15px;'><p>8. Course Conclusion</p><p style='margin: 0'>Advanced Python: Course Conclusion</p></td></tr></tbody></table><br><h4>4. Ruby Programming Basics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Ruby Programming Basics: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Install Sublime Text and Git Bash</p><p style='margin: 0'>Ruby Programming Basics: Install Sublime Text and Git Bash</p></td></tr><tr><td style='padding: 15px;'><p>3. Install Ruby</p><p style='margin: 0'>Ruby Programming Basics: Install Ruby</p></td></tr><tr><td style='padding: 15px;'><p>4. Hello World! First Program</p><p style='margin: 0'>Ruby Programming Basics: Hello World! First Program</p></td></tr><tr><td style='padding: 15px;'><p>5. Printing To The Screen With Puts and Print</p><p style='margin: 0'>Ruby Programming Basics: Printing To The Screen With Puts and Print</p></td></tr><tr><td style='padding: 15px;'><p>6. String Manipulation</p><p style='margin: 0'>Ruby Programming Basics: String Manipulation</p></td></tr><tr><td style='padding: 15px;'><p>7. Variables</p><p style='margin: 0'>Ruby Programming Basics: Variables</p></td></tr><tr><td style='padding: 15px;'><p>8. Getting User Input with Gets</p><p style='margin: 0'>Ruby Programming Basics: Getting User Input with Gets</p></td></tr><tr><td style='padding: 15px;'><p>9. Simple Math</p><p style='margin: 0'>Ruby Programming Basics: Simple Math</p></td></tr><tr><td style='padding: 15px;'><p>10. Converting to An Integer</p><p style='margin: 0'>Ruby Programming Basics: Converting to An Integer</p></td></tr><tr><td style='padding: 15px;'><p>11. Comparison Operators</p><p style='margin: 0'>Ruby Programming Basics: Comparison Operators</p></td></tr><tr><td style='padding: 15px;'><p>12. Assignment Operators</p><p style='margin: 0'>Ruby Programming Basics: Assignment Operators</p></td></tr><tr><td style='padding: 15px;'><p>13. If/Else Conditional Statements</p><p style='margin: 0'>Ruby Programming Basics: If/Else Conditional Statements</p></td></tr></tbody></table><br><h4>5. Intermediate Ruby Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Arrays</p><p style='margin: 0'>Intermediate Ruby Programming: Arrays</p></td></tr><tr><td style='padding: 15px;'><p>2. While Loops</p><p style='margin: 0'>Intermediate Ruby Programming: While Loops</p></td></tr><tr><td style='padding: 15px;'><p>3. Each Loops</p><p style='margin: 0'>Intermediate Ruby Programming: Each Loops</p></td></tr><tr><td style='padding: 15px;'><p>4. Hashes</p><p style='margin: 0'>Intermediate Ruby Programming: Hashes</p></td></tr><tr><td style='padding: 15px;'><p>5. Building FizzBuzz!</p><p style='margin: 0'>Intermediate Ruby Programming: Building FizzBuzz!</p></td></tr><tr><td style='padding: 15px;'><p>6. Methods Part 1</p><p style='margin: 0'>Intermediate Ruby Programming: Methods Part 1</p></td></tr><tr><td style='padding: 15px;'><p>7. Methods Part 2</p><p style='margin: 0'>Intermediate Ruby Programming: Methods Part 2</p></td></tr></tbody></table><br><h4>6. Advanced Ruby Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro to Ruby Classes</p><p style='margin: 0'>Advanced Ruby Programming: Intro to Ruby Classes</p></td></tr><tr><td style='padding: 15px;'><p>2. Ruby Classes Part 1</p><p style='margin: 0'>Advanced Ruby Programming: Ruby Classes Part 1</p></td></tr><tr><td style='padding: 15px;'><p>3. Class Getters</p><p style='margin: 0'>Advanced Ruby Programming: Class Getters</p></td></tr><tr><td style='padding: 15px;'><p>4. Class Setters</p><p style='margin: 0'>Advanced Ruby Programming: Class Setters</p></td></tr><tr><td style='padding: 15px;'><p>5. Adding Perimeter and Area Methods</p><p style='margin: 0'>Advanced Ruby Programming: Adding Perimeter and Area Methods</p></td></tr><tr><td style='padding: 15px;'><p>6. Class Attr Accessor</p><p style='margin: 0'>Advanced Ruby Programming: Class Attr Accessor</p></td></tr><tr><td style='padding: 15px;'><p>7. Creating a Draw Method</p><p style='margin: 0'>Advanced Ruby Programming: Creating a Draw Methods</p></td></tr></tbody></table>

Python programming and Ruby coding are popular for a reason! Become a software coder, web developer, or hacker today
In this course, you'll learn the Python 3 programming language and the Ruby programming language from an absolute beginner level to advanced-in no time at all! This course targets absolute beginners; you don't need any coding experience at all! We start by setting up, downloading, and installing Python and the Sublime Text Editor-both for free. This will give you all the tools you need to start writing and running Python code. For Ruby, we'll use a free online development environment (or you can download Ruby yourself onto your computer). Then, we'll delve into very basic computer science concepts, such as:
•	Printing to the screen
•	String manipulation
•	Variables
•	Data types (lists, tuples, dictionaries and more)
•	Simple math
•	Comparison operators
•	Assignment operators After that, we'll move on to more intermediate topics such as:
•	Conditional if/else statements
•	While loops
•	For loops
•	Fizzbuzz Finally, we'll finish up with more advanced topics like:
•	Functions
•	Modules
•	Classes We'll learn all these things for both Python and Ruby. We start with Python, and then on to Ruby in the second half of the course.
What You Will Learn
Learn actual, applicable programming concepts.
Understand basic topics such as variables, data types, conditional if/else and comparisons, and while/for loops
Audience
This course targets absolute beginners who want to learn the Python and Ruby programming languages.
Approach
This course is a step-by-step approach, just follow along with the instructor and build what he builds. Learn as you build with this hands-on video series.
Key Features
Learn Python from beginner to advanced * Understand programming concepts applicable to any programming language * Learn Ruby from beginner to advanced
About the Author
John Elder
John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries. John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.
Course Outline
1. Beginners Python

1. Intro - Python 3 vs Python 2 - Which Should You Use?
Beginners Python: Intro - Python 3 vs Python 2 - Which Should You Use?
2. Installing Python
Beginners Python: Installing Python
3. First Program - Hello World!
Beginners Python: First Program - Hello World!
4. Comments and Clearing the Screen
Beginners Python: Comments and Clearing the Screen
5. Variables
Beginners Python: Variables
6. Intro to Data Types
Beginners Python: Intro to Data Types
7. Strings
Beginners Python: Strings
8. String Manipulation
Beginners Python: String Manipulation
9. Math with Python
Beginners Python: Math with Python
10. Floats and Ints
Beginners Python: Floats and Ints
11. Assignment Operators
Beginners Python: Assignment Operators
12. Lists
Beginners Python: Lists
13. Tuples
Beginners Python: Tuples
14. Dictionaries
Beginners Python: Dictionaries
2. Intermediate Python

1. Comparison Operators
Intermediate Python: Comparison Operators
2. Conditional Statements
Intermediate Python: Conditional Statements
3. Multiple Conditional Statements
Intermediate Python: Multiple Conditional Statements
4. While Loops
Intermediate Python: While Loops
5. For Loops
Intermediate Python: For Loops
6. Let's Build FizzBuzz!
Intermediate Python: Let's Build FizzBuzz!
3. Advanced Python

1. Functions
Advanced Python: Functions
2. Functions Part 2
Advanced Python: Functions Part 2
3. Modules
Advanced Python: Modules
4. Intro To Classes
Advanced Python: Intro To Classes
5. Classes Part 1
Advanced Python: Classes Part 1
6. Classes Part 2
Advanced Python: Classes Part 2
7. Classes Part 3
Advanced Python: Classes Part 3
8. Course Conclusion
Advanced Python: Course Conclusion
4. Ruby Programming Basics

1. Introduction
Ruby Programming Basics: Introduction
2. Install Sublime Text and Git Bash
Ruby Programming Basics: Install Sublime Text and Git Bash
3. Install Ruby
Ruby Programming Basics: Install Ruby
4. Hello World! First Program
Ruby Programming Basics: Hello World! First Program
5. Printing To The Screen With Puts and Print
Ruby Programming Basics: Printing To The Screen With Puts and Print
6. String Manipulation
Ruby Programming Basics: String Manipulation
7. Variables
Ruby Programming Basics: Variables
8. Getting User Input with Gets
Ruby Programming Basics: Getting User Input with Gets
9. Simple Math
Ruby Programming Basics: Simple Math
10. Converting to An Integer
Ruby Programming Basics: Converting to An Integer
11. Comparison Operators
Ruby Programming Basics: Comparison Operators
12. Assignment Operators
Ruby Programming Basics: Assignment Operators
13. If/Else Conditional Statements
Ruby Programming Basics: If/Else Conditional Statements
5. Intermediate Ruby Programming

1. Arrays
Intermediate Ruby Programming: Arrays
2. While Loops
Intermediate Ruby Programming: While Loops
3. Each Loops
Intermediate Ruby Programming: Each Loops
4. Hashes
Intermediate Ruby Programming: Hashes
5. Building FizzBuzz!
Intermediate Ruby Programming: Building FizzBuzz!
6. Methods Part 1
Intermediate Ruby Programming: Methods Part 1
7. Methods Part 2
Intermediate Ruby Programming: Methods Part 2
6. Advanced Ruby Programming

1. Intro to Ruby Classes
Advanced Ruby Programming: Intro to Ruby Classes
2. Ruby Classes Part 1
Advanced Ruby Programming: Ruby Classes Part 1
3. Class Getters
Advanced Ruby Programming: Class Getters
4. Class Setters
Advanced Ruby Programming: Class Setters
5. Adding Perimeter and Area Methods
Advanced Ruby Programming: Adding Perimeter and Area Methods
6. Class Attr Accessor
Advanced Ruby Programming: Class Attr Accessor
7. Creating a Draw Method
Advanced Ruby Programming: Creating a Draw Methods

Ruby

Python programming and Ruby coding are popular for a reason! Become a software coder, web developer, or hacker today

Python and Ruby Programming Bundle

<strong>In this course, we'll learn about runtime semantics and build an interpreter for a programming language from scratch. In the process, we'll build and understand a full programming language semantics.</strong>
        <p>How do programming languages work under the hood? What's the difference between compiler and interpreter? What is a virtual machine and JIT-compiler? And what about the difference between functional and imperative programming?

There are so many questions when it comes to implementing a programming language!

In this course, we will learn about compilers and AST interpreters and virtual machines. We will further explore basic expressions and variables in interpreters and learn about variables and environments. We will also explore built-in and native functions, user-defined functions, and call stack and recursive calls. Lastly, we will learn about OOP, class inheritance, and code isolation.

By the end of the course, we will implement a full AST interpreter for our programming language.

All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Building-an-Interpreter-from-Scratch</p>
        <h2>What You Will Learn</h2><p>Build a programing language from scratch<br>Learn about AOT and JIT-compilers and Transpilers<br>Learn about Bytecode, LLVM, stack-machines<br>Learn about call-stack and activation records<br>Learn about interpreters and compilers<br>Learn about AST-interpreters and virtual machines</p>
        <h2>Audience</h2><p>This class is for any curious engineer who would like to gain skills in building complex systems (and building a programming language is really a pretty advanced engineering task!) and obtain transferable knowledge for building such systems.<br><br>If you are interested specifically in compilers, interpreters, and source code transformation tools, then this class is also for you.<br><br>The only prerequisite for this class is basic data structures and algorithms: trees, lists, traversal.</p>
        <h2>Approach</h2><p>Each lecture is self-sufficient and concise, and describes information related to the topic, not distracting one by unrelated materials or talks. Usage of animated presentations combined with live-editing notes makes understanding the topics easier and shows how (and when in time) the object structures are connected.</p>
        <h2>Key Features</h2><p>Learn about basic expressions and variables in interpreters * Learn about functions and functional programming * Learn about object-oriented programming</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Building-an-Interpreter-from-Scratch</p>
        <h2>About the Author</h2><h3>Dmitry Soshnikov</h3><p>Dmitry Soshnikov is a software engineer and a lecturer on different computer science topics. He is passionate about education and focuses on high-quality educational content: concise and straight-to-the-point animated lectures with live-editing notes.</p>
        <h2>Course Outline</h2><h4>1. Compilers crash course</h4><p></p><br><h4>2. Interpreters: Basic expressions and Variables</h4><p></p><br><h4>3. Functions and Functional programming</h4><p></p><br><h4>4. Object-oriented programming</h4><p></p>

In this course, we'll learn about runtime semantics and build an interpreter for a programming language from scratch. In the process, we'll build and understand a full programming language semantics.
How do programming languages work under the hood? What's the difference between compiler and interpreter? What is a virtual machine and JIT-compiler? And what about the difference between functional and imperative programming? There are so many questions when it comes to implementing a programming language! In this course, we will learn about compilers and AST interpreters and virtual machines. We will further explore basic expressions and variables in interpreters and learn about variables and environments. We will also explore built-in and native functions, user-defined functions, and call stack and recursive calls. Lastly, we will learn about OOP, class inheritance, and code isolation. By the end of the course, we will implement a full AST interpreter for our programming language. All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Building-an-Interpreter-from-Scratch
What You Will Learn
Build a programing language from scratch
Learn about AOT and JIT-compilers and Transpilers
Learn about Bytecode, LLVM, stack-machines
Learn about call-stack and activation records
Learn about interpreters and compilers
Learn about AST-interpreters and virtual machines
Audience
This class is for any curious engineer who would like to gain skills in building complex systems (and building a programming language is really a pretty advanced engineering task!) and obtain transferable knowledge for building such systems.

If you are interested specifically in compilers, interpreters, and source code transformation tools, then this class is also for you.

The only prerequisite for this class is basic data structures and algorithms: trees, lists, traversal.
Approach
Each lecture is self-sufficient and concise, and describes information related to the topic, not distracting one by unrelated materials or talks. Usage of animated presentations combined with live-editing notes makes understanding the topics easier and shows how (and when in time) the object structures are connected.
Key Features
Learn about basic expressions and variables in interpreters * Learn about functions and functional programming * Learn about object-oriented programming
Github Repo
https://github.com/PacktPublishing/Building-an-Interpreter-from-Scratch
About the Author
Dmitry Soshnikov
Dmitry Soshnikov is a software engineer and a lecturer on different computer science topics. He is passionate about education and focuses on high-quality educational content: concise and straight-to-the-point animated lectures with live-editing notes.
Course Outline
1. Compilers crash course

2. Interpreters: Basic expressions and Variables

3. Functions and Functional programming

4. Object-oriented programming


Programming Fundamentals

Computer Programming

Data Processing

In this course, we'll learn about runtime semantics and build an interpreter for a programming language from scratch. In the process, we'll build and understand a full programming language semantics.

Building an Interpreter from Scratch

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Accelerate Your Full Stack Developer Career: Fast-Track Program with Exams, TOTUM Card &amp; 5-Year Support. Enrol Today!</p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study method</strong></div>Online</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration</strong></div>12months <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&middot;</strong>&nbsp;Self-paced</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Access to content</strong></div>5 years</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certifications</strong></div></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">CompTIA IT Fundamentals Certification</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist HTML5 Application Development</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist HTML and CSS</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Python</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist AI (Artificial Intelligence)</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Databases</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist JavaScript</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><br fr-original-style="" style="box-sizing: border-box;"></div></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Additional info</strong></div><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Exam(s) / assessment(s) is included in price</li><li fr-original-style="" style="box-sizing: border-box;">Tutor is available to students</li><li fr-original-style="" style="box-sizing: border-box;">TOTUM card included in price</li><li fr-original-style="" style="box-sizing: border-box;">Job guarantee programme is included in this course</li></ul><div fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Overview</h2><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy</strong></strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">A Full Stack Developer is someone who is familiar and comfortable with all layers in computer software development. Full Stack Developers have the functional knowledge and ability to take a concept and turn it into a finished product. They understand how everything works from top to bottom and can anticipate problems accordingly.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Becoming a Full Stack Developer has many advantages over being a specialist in either front-end or back-end development with one of the main advantages being the fact that they tend to find themselves very much in demand as they have more of the key skills desired by the leading Tech Companies.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Certifications</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h3 fr-original-style="" style="box-sizing: border-box;">CompTIA IT Fundamentals Certification</h3>Awarded by&nbsp;CompTIA</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist HTML5 Application Development</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist HTML and CSS</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Python</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Databases</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist JavaScript</h3>Awarded by Pearson</div></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Description</h2><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With a national shortage of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Full Stack Developers</strong>, starting salaries of up to &pound;25,000 per annum (average UK Salary &pound;52,500) and amazing future employed and self-employed career prospects, take the next step today with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fast Track Full Stack Developer Programme.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What you can expect from our Fast Track Programme:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">World Class Education</li><li fr-original-style="" style="box-sizing: border-box;">Energetic and unlimited 24/7 Student Support</li><li fr-original-style="" style="box-sizing: border-box;">Real, tangible Career Outcomes</li><li fr-original-style="" style="box-sizing: border-box;">5 Years Career Support and Course Access</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What our programme includes:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Foundation Awards</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA ITF+ (IT Fundamentals)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Industry Recognised Qualifications</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist HTML5 Application Development</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist HTML and CSS</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist JavaScript</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist Python</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist Databases</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exams</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Includes all Exams and Unlimited Re-Sits</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">5 Years Career Support Guarantee</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of our unique Support Guarantee, our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Support Team</strong>&nbsp;will assist you with:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">CV writing</li><li fr-original-style="" style="box-sizing: border-box;">Expert careers advice</li><li fr-original-style="" style="box-sizing: border-box;">Interview preparation</li><li fr-original-style="" style="box-sizing: border-box;">Identifying and applying for the best opportunities in your area</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As a student in the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Nuyew Tech Academy</strong>&nbsp;you will also be given exclusive access to our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Skills Academy</strong>&nbsp;which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to anyone interested in pursuing a Career in Full Stack Web Development. Our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Foundation Level</strong>&nbsp;provides the flexibility for us to accommodate students with any level of previous knowledge and experience.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (&pound;18k-&pound;24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary &pound;52.5K).</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation.</p><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p></div></section></section></div>

Accelerate Your Full Stack Developer Career: Fast-Track Program with Exams, TOTUM Card & 5-Year Support. Enrol Today!



Study methodOnline
Duration12months · Self-paced
Access to content5 years
CertificationsCompTIA IT Fundamentals CertificationPearson IT Specialist HTML5 Application DevelopmentPearson IT Specialist HTML and CSSPearson IT Specialist PythonPearson IT Specialist AI (Artificial Intelligence)Pearson IT Specialist DatabasesPearson IT Specialist JavaScript
Additional info
Exam(s) / assessment(s) is included in price
Tutor is available to students
TOTUM card included in price
Job guarantee programme is included in this course



Overview
Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy
A Full Stack Developer is someone who is familiar and comfortable with all layers in computer software development. Full Stack Developers have the functional knowledge and ability to take a concept and turn it into a finished product. They understand how everything works from top to bottom and can anticipate problems accordingly.
Becoming a Full Stack Developer has many advantages over being a specialist in either front-end or back-end development with one of the main advantages being the fact that they tend to find themselves very much in demand as they have more of the key skills desired by the leading Tech Companies.
Certifications
CompTIA IT Fundamentals Certification
Awarded by CompTIA
Pearson IT Specialist HTML5 Application Development
Pearson IT Specialist HTML and CSS
Pearson IT Specialist Python
Pearson IT Specialist AI (Artificial Intelligence)
Pearson IT Specialist Databases
Pearson IT Specialist JavaScript
Awarded by Pearson



Description
With a national shortage of Full Stack Developers, starting salaries of up to £25,000 per annum (average UK Salary £52,500) and amazing future employed and self-employed career prospects, take the next step today with our Fast Track Full Stack Developer Programme.
What you can expect from our Fast Track Programme:
World Class Education
Energetic and unlimited 24/7 Student Support
Real, tangible Career Outcomes
5 Years Career Support and Course Access
What our programme includes:
Foundation Awards
CompTIA ITF+ (IT Fundamentals)
Industry Recognised Qualifications
Pearson IT Specialist HTML5 Application Development
Pearson IT Specialist HTML and CSS
Pearson IT Specialist JavaScript
Pearson IT Specialist Python
Pearson IT Specialist AI (Artificial Intelligence)
Pearson IT Specialist Databases
Exams
Includes all Exams and Unlimited Re-Sits
5 Years Career Support Guarantee
As part of our unique Support Guarantee, our Career Support Team will assist you with:
CV writing
Expert careers advice
Interview preparation
Identifying and applying for the best opportunities in your area
As a student in the Nuyew Tech Academy you will also be given exclusive access to our Career Skills Academy which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career.
Who is this course for?
This course is open to anyone interested in pursuing a Career in Full Stack Web Development. Our Foundation Level provides the flexibility for us to accommodate students with any level of previous knowledge and experience.
Requirements
This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed.
Career path
Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (£18k-£24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary £52.5K).

Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation.



NuYew Ltd

Full Stack Developer

Certified Full Stack Developer Pathway with Career Guarantee

<p><strong>*** 10 QLS Endorsed Courses for Programmers | 10 QLS Endorsed Hard Copy Certificates Included | Lifetime Access | Installment Payment | Tutor Support ***</strong></p><p>Imagine being able to code in a multitude of programming languages and expand your skill set, making you an invaluable asset in the tech industry. Imagine navigating complex software development projects confidently and being able to design and implement effective solutions. This dream can become a reality with our<strong> Computer Programmer QLS Endorsed Courses </strong>bundle<strong>.</strong></p><p>Endorsed by the prestigious Quality Licence Scheme, our bundle offers learners <strong>10 QLS Endorsed Certificate hard copies free of charge</strong> upon completion. Whether you're a beginner looking to dip your toes in the world of programming or a seasoned pro wanting to expand your knowledge, our courses cover a wide range of programming languages, from Assembly to C++, HTML to Python, and even machine learning.</p><p>As a tech industry professional in the UK, it's essential to stay up to date with the latest programming languages and tools. With statistics showing that the tech industry is continuing to grow, with a <strong>projected 7% increase in tech job openings</strong> by 2023 in the UK alone, there has never been a better time to invest in your career development. By taking our <strong>Computer Programmer QLS Endorsed Courses</strong>, you can position yourself as a highly skilled and knowledgeable candidate in this competitive field.</p><p>Invest in your future and enrol in our <strong>Computer Programmer QLS Endorsed Courses</strong> bundle today. With our free certificate hardcopies and Quality Licence Scheme endorsement, you'll be on your way to achieving your programming career goals in no time.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Learn assembly programming for various platforms, including Windows, Linux, and macOS.</li><li>Develop a solid foundation in C++ programming language and learn advanced concepts such as templates and exceptions.</li><li>Gain a thorough understanding of HTML 5 and its applications in web development.</li><li>Develop dynamic and secure web applications using PHP, MySQL, and Object-Oriented Programming (OOP) principles.</li><li>Master the basics of HTML and CSS and develop responsive websites with HTML Web development.</li><li>Learn to write secure code and prevent common security vulnerabilities in web applications.</li><li>Gain proficiency in Python programming language and apply it to data analysis and Machine learning.</li></ul><p><strong>Why Choose Imperial Academy?</strong></p><ul><li>Fully Online Training</li><li>QLS Endorsed &amp; CPD Accredited Certificate</li><li>No Time Limits. Study at Your Own Pace</li><li>Expert Instructors</li><li>Audio Visual Training</li><li>Up-to-date Curriculum and Valuable Guidelines</li></ul><p>The <strong>Computer Programmer QLS Endorsed Courses</strong> bundle offers a diverse range of courses covering various programming languages and concepts, career coaching, and self-improvement. The bundle starts with assembly programming, where learners will gain a fundamental understanding of assembly language and develop skills to write assembly programs for different platforms. The C++ development course is designed for learners who want to learn both basic and advanced C++ programming concepts. The Basic HTML 5 course provides a solid foundation in HTML 5, including its new features and applications in web development.</p><p>The PHP &amp; MySQL web development course teaches learners how to develop dynamic web applications using PHP, MySQL, and OOP principles. The HTML Web Development Crash Course covers the basics of HTML and CSS, enabling learners to create responsive websites with a mobile-first approach. The Secure Programming of Web Applications course is designed to help learners prevent common security vulnerabilities in web applications.</p><p>The Python Programming for Non-Programmers Level 5 course teaches learners Python programming from scratch. The Machine Learning with Python course covers machine learning concepts and tools and their applications in data analysis.</p><p><strong>This bundle comprises the following courses:</strong></p><p><strong>QLS Endorsed Courses:</strong></p><ul><li><strong>Course 01:</strong> Assembly Programming For All Platforms</li><li><strong>Course 02:</strong> C++ Development: The Complete Coding Guide</li><li><strong>Course 03:</strong> Basic HTML 5</li><li><strong>Course 04:</strong> Ultimate PHP &amp; MySQL Web Development Course &amp; OOP Coding</li><li><strong>Course 05:</strong> HTML Web Development Crash Course</li><li><strong>Course 06:</strong> Secure Programming of Web Applications - Developers and TPMs</li><li><strong>Course 07:</strong> Python Programming for Non-Programmers Level 5</li><li><strong>Course 08:</strong> Machine Learning with Python</li><li><strong>Course 09:</strong> Career Coaching</li><li><strong>Course 10:</strong> The Unstoppable Self-Confidence &amp; High Self-Esteem Blueprint</li></ul><p><strong>Certificate: </strong></p><p>The Quality Licence Scheme ensures excellence and quality. These courses' learning outcomes also provide the learners with high competence in their line of work. So, <strong>QLS Endorsed</strong> courses deliver not only deep knowledge but also add great value to the resume.</p><p>After completing the assessments, learners will be eligible for a prestigious <strong>QLS Certificate</strong> for each endorsed course in this bundle. Moreover, the certificates will be delivered to their home free of cost!</p><p>Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Individuals interested in learning assembly programming, C++ programming, HTML, PHP, MySQL, and Python.</li><li>Anyone looking to improve their programming skills and gain knowledge in web development and machine learning.</li><li>People interested in improving their self-confidence and self-esteem through the Unstoppable</li><li>Self-Confidence &amp; High Self-Esteem Blueprint course.</li><li>Individuals seeking career coaching to advance their careers and improve their job prospects.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Anyone can enrol in this <strong>Computer Programmer QLS Endorsed Courses</strong>.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Web Developer: £20,000 - £50,000</li><li>Software Engineer: £25,000 - £65,000</li><li>Data Analyst: £24,000 - £50,000</li><li>Machine Learning Engineer: £30,000 - £80,000</li><li>Cybersecurity Analyst: £25,000 - £60,000</li><li>Career Coach: £20,000 - £60,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Hard Copy QLS Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>PDF Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

*** 10 QLS Endorsed Courses for Programmers | 10 QLS Endorsed Hard Copy Certificates Included | Lifetime Access | Installment Payment | Tutor Support ***
Imagine being able to code in a multitude of programming languages and expand your skill set, making you an invaluable asset in the tech industry. Imagine navigating complex software development projects confidently and being able to design and implement effective solutions. This dream can become a reality with our Computer Programmer QLS Endorsed Courses bundle.
Endorsed by the prestigious Quality Licence Scheme, our bundle offers learners 10 QLS Endorsed Certificate hard copies free of charge upon completion. Whether you're a beginner looking to dip your toes in the world of programming or a seasoned pro wanting to expand your knowledge, our courses cover a wide range of programming languages, from Assembly to C++, HTML to Python, and even machine learning.
As a tech industry professional in the UK, it's essential to stay up to date with the latest programming languages and tools. With statistics showing that the tech industry is continuing to grow, with a projected 7% increase in tech job openings by 2023 in the UK alone, there has never been a better time to invest in your career development. By taking our Computer Programmer QLS Endorsed Courses, you can position yourself as a highly skilled and knowledgeable candidate in this competitive field.
Invest in your future and enrol in our Computer Programmer QLS Endorsed Courses bundle today. With our free certificate hardcopies and Quality Licence Scheme endorsement, you'll be on your way to achieving your programming career goals in no time.
Learning Outcomes:
Learn assembly programming for various platforms, including Windows, Linux, and macOS.
Develop a solid foundation in C++ programming language and learn advanced concepts such as templates and exceptions.
Gain a thorough understanding of HTML 5 and its applications in web development.
Develop dynamic and secure web applications using PHP, MySQL, and Object-Oriented Programming (OOP) principles.
Master the basics of HTML and CSS and develop responsive websites with HTML Web development.
Learn to write secure code and prevent common security vulnerabilities in web applications.
Gain proficiency in Python programming language and apply it to data analysis and Machine learning.
Why Choose Imperial Academy?
Fully Online Training
QLS Endorsed & CPD Accredited Certificate
No Time Limits. Study at Your Own Pace
Expert Instructors
Audio Visual Training
Up-to-date Curriculum and Valuable Guidelines
The Computer Programmer QLS Endorsed Courses bundle offers a diverse range of courses covering various programming languages and concepts, career coaching, and self-improvement. The bundle starts with assembly programming, where learners will gain a fundamental understanding of assembly language and develop skills to write assembly programs for different platforms. The C++ development course is designed for learners who want to learn both basic and advanced C++ programming concepts. The Basic HTML 5 course provides a solid foundation in HTML 5, including its new features and applications in web development.
The PHP & MySQL web development course teaches learners how to develop dynamic web applications using PHP, MySQL, and OOP principles. The HTML Web Development Crash Course covers the basics of HTML and CSS, enabling learners to create responsive websites with a mobile-first approach. The Secure Programming of Web Applications course is designed to help learners prevent common security vulnerabilities in web applications.
The Python Programming for Non-Programmers Level 5 course teaches learners Python programming from scratch. The Machine Learning with Python course covers machine learning concepts and tools and their applications in data analysis.
This bundle comprises the following courses:
QLS Endorsed Courses:
Course 01: Assembly Programming For All Platforms
Course 02: C++ Development: The Complete Coding Guide
Course 03: Basic HTML 5
Course 04: Ultimate PHP & MySQL Web Development Course & OOP Coding
Course 05: HTML Web Development Crash Course
Course 06: Secure Programming of Web Applications - Developers and TPMs
Course 07: Python Programming for Non-Programmers Level 5
Course 08: Machine Learning with Python
Course 09: Career Coaching
Course 10: The Unstoppable Self-Confidence & High Self-Esteem Blueprint
Certificate: 
The Quality Licence Scheme ensures excellence and quality. These courses' learning outcomes also provide the learners with high competence in their line of work. So, QLS Endorsed courses deliver not only deep knowledge but also add great value to the resume.
After completing the assessments, learners will be eligible for a prestigious QLS Certificate for each endorsed course in this bundle. Moreover, the certificates will be delivered to their home free of cost!
Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.
 Who is this course for? 
Individuals interested in learning assembly programming, C++ programming, HTML, PHP, MySQL, and Python.
Anyone looking to improve their programming skills and gain knowledge in web development and machine learning.
People interested in improving their self-confidence and self-esteem through the Unstoppable
Self-Confidence & High Self-Esteem Blueprint course.
Individuals seeking career coaching to advance their careers and improve their job prospects.
 Requirements 
Anyone can enrol in this Computer Programmer QLS Endorsed Courses.
 Career path 
Web Developer: £20,000 - £50,000
Software Engineer: £25,000 - £65,000
Data Analyst: £24,000 - £50,000
Machine Learning Engineer: £30,000 - £80,000
Cybersecurity Analyst: £25,000 - £60,000
Career Coach: £20,000 - £60,000
 Certificates 
Hard Copy QLS Certificate
 Hard copy certificate - Included 
PDF Certificate
 Digital certificate - Included 
Student ID Card
 Digital certificate - Included 

Imperial Academy

Computer Programming: Where Inspiration Meets Logic And Dreams Become Lines Of Code

Computer Programmer QLS Endorsed Courses

London

<article>
					<div>
						<h5>C++ Bootcamp  Course, 2-Months.</h5>
					</div>
					<div></div>
					<p>
						<span> </span>
						<br /> C++ Bootcamp is for coding beginners:
						<br />You want all the basic stuff, all the advanced stuff and practical experience and get a fantastic job in C++
					
						<br /><br /><b>Location: </b>Instructor-led, Online.
						<br /><b>Our Style: </b>Hands-on, Practical Course.
						<br /><b>Group Size: </b>Max 4 people per group.  
						<br /><b>Qualification: </b>PCWorkshops C++ Bootcamp Certification
						<br /><b>Hours: </b>2-Months, 1 day per week, 10am-5pm 
						<br /><b>Practical: </b>Exercises to be completed between sessions 
						<br /><b>1-1 Mentoring: </b>1-1 sessions to be scheduled individally between sessions
						<br /><b>Project: </b>Showcase your work online
						
						
				  	</p>
	    		</article> 
				
				<article>
					<div>
						<h5>C++ Bootcamp  Course, Course Outline.</h5>
					</div>
					<div></div>
					<p> 
						 		<b> WEEK 1: BASICS</b> 
								<br />C++ Language Introduction
								<br />Benefits of C++ over other languages
								<br />Compilation of C++ program
								<br />Hello World Program in C++

								<br /><br />Variables and Keywords in C++
								<br />Scope rules in C++
								<br />Data Types in C++
								<br />Operators &amp; Its Types
								<br />Typecasting in C++

								<br /><br />Decision Making Statements

								<br /><br />Loops in C++
								<br />Switch Statement in C++
								<br />Continue Statement | Break Statement
								<br />C++ Loops &amp; Control Structure Practice Questions

								<br /><br /><b>WEEK 2: STRINGS, MATH AND RANDOM</b>
								<br />Arrays in C++
								<br />Strings in C++
								<br />Multidimensional Arrays in C++
								<br />String functions in C++
								<br />Single-quoted &amp; Double-quoted declaration of the char array
								<br />Math in C++
								<br />Random Numbers in C++

								<br /><br /><b>WEEK 3: OOP</b>
								<br />Functions in C++
								<br />Function Prototype
								<br />Parameter Passing Techniques in C++
								<br />Function Overloading, 
								<br /><br />Storage Classes in C++, Classes/Objects, Class Methods, Constructors, Access Specifiers, Encapsulation, Inheritance, Polymorphism
								<br />Recursion Concept

								<br /><br /><b>WEEK 4: DATA STRUCTURES</b>
								<br />Multidimensional Arrays in C++
								<br />Pointers in C++, Double Pointer
								<br />Structures, Union, Enumeration (or enum) in C++
								<br />Declare a pointer to a function
								<br />Pointer vs Array in C++
								<br />Operations on struct variables in C++
								<br />Dynamic Memory Allocation in C++
								<br />Linked List Data Structure
								<br />Memory Leak
								<br />Stack 
								<br />Queue
								<br />Difference between malloc and calloc

								<br /><br /><b>WEEK 5: FILES</b>
								<br />Files and Streams
								<br />Exception Handling
								<br />File Handling, Read Write, Append to Files in C
								<br />Txt and Binary Files
								<br />Multiline macros in C++
								<br />Merge the content of two files into a third one
								<br />Preprocessor in C++
								<br />Preprocessor directives

								<br /><br /><b>WEEK 6 AND 7: C++ ADVANCED</b>
								<br />Dynamic Memory
								<br />Namespaces
								<br />Templates
								<br />Preprocessor
								<br />Signal Handling
								<br />Multithreading

								<br /><br /><b>WEEK 8: DATABASE PROGRAMMING WITH C++</b>
								Connecting to a database, Retrieve data, display a result set,  insert, update, delete records, create a database and table

								<br /><br /><b>WEEK 9: PRACTICAL </b>



							</p>
							<br />					

							<h4>Alternative Bootcamp Courses</h4>
							 
							<br /><br />
				  	<p></p>
	    		</article> 

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	                     <h5>Included with the C++ Bootcamp  Course</h5>
	                  </div>

	                  <article>
	                  <div>
	                     <ul>
	                        <li>PCWorkshops C++ Bootcamp  Certificate on completion  </li>
							                  
						    <li>C++ Bootcamp  Notes</li>
							<li>C++ Code Examples</li>
	                        <li>Practical C++ Bootcamp  exercises</li>
							 <li>Practical C++ Project Online</li>
							
	                        <li>Personal attention in small groups of max 4 delegates, and 1-1 mentoring</li>
	                        
	                     </ul>
	                  </div>
						   
	                  </article>
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	                     <h5>Book the C++ Bootcamp  Course</h5>
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	                     <h5>About us</h5>
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					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
										<li>
											More about us
										</li>
										<li>
											FAQ's
										</li>
										<li>
											Client Comments  
										</li>
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C++ Bootcamp Course, 2-Months.
   
 C++ Bootcamp is for coding beginners: 
You want all the basic stuff, all the advanced stuff and practical experience and get a fantastic job in C++ 

Location: Instructor-led, Online. 
Our Style: Hands-on, Practical Course. 
Group Size: Max 4 people per group. 
Qualification: PCWorkshops C++ Bootcamp Certification 
Hours: 2-Months, 1 day per week, 10am-5pm 
Practical: Exercises to be completed between sessions 
1-1 Mentoring: 1-1 sessions to be scheduled individally between sessions 
Project: Showcase your work online 
C++ Bootcamp Course, Course Outline.
  WEEK 1: BASICS 
C++ Language Introduction 
Benefits of C++ over other languages 
Compilation of C++ program 
Hello World Program in C++ 

Variables and Keywords in C++ 
Scope rules in C++ 
Data Types in C++ 
Operators & Its Types 
Typecasting in C++ 

Decision Making Statements 

Loops in C++ 
Switch Statement in C++ 
Continue Statement | Break Statement 
C++ Loops & Control Structure Practice Questions 

WEEK 2: STRINGS, MATH AND RANDOM 
Arrays in C++ 
Strings in C++ 
Multidimensional Arrays in C++ 
String functions in C++ 
Single-quoted & Double-quoted declaration of the char array 
Math in C++ 
Random Numbers in C++ 

WEEK 3: OOP 
Functions in C++ 
Function Prototype 
Parameter Passing Techniques in C++ 
Function Overloading, 

Storage Classes in C++, Classes/Objects, Class Methods, Constructors, Access Specifiers, Encapsulation, Inheritance, Polymorphism 
Recursion Concept 

WEEK 4: DATA STRUCTURES 
Multidimensional Arrays in C++ 
Pointers in C++, Double Pointer 
Structures, Union, Enumeration (or enum) in C++ 
Declare a pointer to a function 
Pointer vs Array in C++ 
Operations on struct variables in C++ 
Dynamic Memory Allocation in C++ 
Linked List Data Structure 
Memory Leak 
Stack 
Queue 
Difference between malloc and calloc 

WEEK 5: FILES 
Files and Streams 
Exception Handling 
File Handling, Read Write, Append to Files in C 
Txt and Binary Files 
Multiline macros in C++ 
Merge the content of two files into a third one 
Preprocessor in C++ 
Preprocessor directives 

WEEK 6 AND 7: C++ ADVANCED 
Dynamic Memory 
Namespaces 
Templates 
Preprocessor 
Signal Handling 
Multithreading 

WEEK 8: DATABASE PROGRAMMING WITH C++ Connecting to a database, Retrieve data, display a result set, insert, update, delete records, create a database and table 

WEEK 9: PRACTICAL  
Alternative Bootcamp Courses

Included with the C++ Bootcamp Course
PCWorkshops C++ Bootcamp Certificate on completion
C++ Bootcamp Notes
C++ Code Examples
Practical C++ Bootcamp exercises
Practical C++ Project Online
Personal attention in small groups of max 4 delegates, and 1-1 mentoring
Book the C++ Bootcamp Course
About us
Our experienced trainers are award winners.
More about us
FAQ's
Client Comments

PCWorkshops

Online Course Creation

Bootcamp

 C++ Bootcamp is for coding beginners:  You want all the basic stuff, all the advanced stuff and practical experience and get a fantastic job in C++ 

C++ Bootcamp Course, 2-Months

General admission

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			<h2><b>Course Overview</b></h2>		</div>
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				<div>
					<div><p><span>Learn how to be a professional coder and construct any kind of GUI application for commercial or personal use with this introductory </span><b>Java AWT Programming Project </b><span>course. Java has the best built-in support functions for GUI programming, and AWT (Abstract Window Toolkit) allows for the speedy construction of window-based applications. Using the knowledge gained here, you will be able to master one of the most powerful programming languages ââin current use and apply those principles to other forms of coding and design.    </span></p><p><span>This </span><b>Java Programming </b><span>tutorial contains ten sections of easy-to-understand information that will take you from being a programming novice to a coding completist. You will be taught the basic principles of Java before being shown how to create menu bars, mouse listening events, and checkbox groups. This all leads to you constructing a practical calendar application to demonstrate your gained programming abilities. By mastering Java, you will open new doors in the IT industry and increase your career potential in a computing career.    </span></p></div>
				</div>
				</div>
				<div>
				<div>
					<div><p>This best selling <strong>Java AWT Programming Project </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Java AWT Programming Project </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p>
<p>The <strong>Java AWT Programming Project </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Java AWT Programming Project </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p>
<p>After successfully completing the<strong> Java AWT Programming Project</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Java AWT Programming Project </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p>
<p>We know that you are busy and that time is precious, so we have designed the <strong>Java AWT Programming Project </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p>
<p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Overview
Learn how to be a professional coder and construct any kind of GUI application for commercial or personal use with this introductory Java AWT Programming Project course. Java has the best built-in support functions for GUI programming, and AWT (Abstract Window Toolkit) allows for the speedy construction of window-based applications. Using the knowledge gained here, you will be able to master one of the most powerful programming languages ââin current use and apply those principles to other forms of coding and design. 
This Java Programming tutorial contains ten sections of easy-to-understand information that will take you from being a programming novice to a coding completist. You will be taught the basic principles of Java before being shown how to create menu bars, mouse listening events, and checkbox groups. This all leads to you constructing a practical calendar application to demonstrate your gained programming abilities. By mastering Java, you will open new doors in the IT industry and increase your career potential in a computing career. 
This best selling Java AWT Programming Project has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Java AWT Programming Project is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Java AWT Programming Project is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Java AWT Programming Project is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Java AWT Programming Project, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Java AWT Programming Project will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Java AWT Programming Project to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Course Cloud

Java AWT Programming Project

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			<h2><b>Course Overview</b></h2>		</div>
				</div>
				<div>
				<div>
					<div><p><span>The Bash Scripting, Linux and Shell Programming Complete Guide has been designed by industry experts to equip learners with the knowledge and industry skills required to become a successful Shell Script Developer or Linux Engineer. This training course has no particular entry requirements, but is particularly suitable for those with some knowledge of the command line.</span></p><p><span>Through this training, you will learn the key principles of shell scripting and bash programming for a variety of operating systems. It will guide you through how to create complex scripts that take advantage of advanced bash features, automate routine tasks using shell scripts, debug a shell script, and carry out other procedures.</span></p><p><span>By the end of this course, you will have the ability to write bash scripts that solve real-world problems, fix scripting errors, process command line arguments, and much more.</span></p></div>
				</div>
				</div>
				<div>
				<div>
					<div><p>This best selling <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> Bash Scripting, Linux and Shell Programming Complete Guide</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Overview
The Bash Scripting, Linux and Shell Programming Complete Guide has been designed by industry experts to equip learners with the knowledge and industry skills required to become a successful Shell Script Developer or Linux Engineer. This training course has no particular entry requirements, but is particularly suitable for those with some knowledge of the command line.
Through this training, you will learn the key principles of shell scripting and bash programming for a variety of operating systems. It will guide you through how to create complex scripts that take advantage of advanced bash features, automate routine tasks using shell scripts, debug a shell script, and carry out other procedures.
By the end of this course, you will have the ability to write bash scripts that solve real-world problems, fix scripting errors, process command line arguments, and much more.
This best selling Bash Scripting, Linux and Shell Programming Complete Guide has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Bash Scripting, Linux and Shell Programming Complete Guide is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Bash Scripting, Linux and Shell Programming Complete Guide is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Bash Scripting, Linux and Shell Programming Complete Guide is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Bash Scripting, Linux and Shell Programming Complete Guide, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Bash Scripting, Linux and Shell Programming Complete Guide will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Bash Scripting, Linux and Shell Programming Complete Guide to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Bash Scripting, Linux and Shell Programming Complete Guide

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					<div><p>The comprehensive Bash Shell Scripting Level 4 has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Bash Shell Scripting Level 4 today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Bash Shell Scripting Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Bash Shell Scripting Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Bash Shell Scripting Level 4 is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Bash Shell Scripting Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Bash Shell Scripting Level 4, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Bash Shell Scripting Level 4 will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Bash Shell Scripting Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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								</div>
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The comprehensive Bash Shell Scripting Level 4 has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Bash Shell Scripting Level 4 today, and learn from the very best the industry has to offer!
This best selling Bash Shell Scripting Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Bash Shell Scripting Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Bash Shell Scripting Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Bash Shell Scripting Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Bash Shell Scripting Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Bash Shell Scripting Level 4 will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Bash Shell Scripting Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Bash Shell Scripting Level 4

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					<div><p>The comprehensive Complete SAS Programming has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Complete SAS Programming today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Complete SAS Programming has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Complete SAS Programming is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Complete SAS Programming is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Complete SAS Programming is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Complete SAS Programming, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Complete SAS Programming will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Complete SAS Programming to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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The comprehensive Complete SAS Programming has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Complete SAS Programming today, and learn from the very best the industry has to offer!
This best selling Complete SAS Programming has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Complete SAS Programming is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Complete SAS Programming is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Complete SAS Programming is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Complete SAS Programming, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Complete SAS Programming will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Complete SAS Programming to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Complete SAS Programming

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			<h2><b>Course Overview</b></h2>		</div>
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					<div><p><span>Attain the skills and knowledge to master essential programming principles and learn how to elevate your coding skills to new levels with this </span><b>Complete Java Programming </b><span>course. The official language for Android development and one of the most globally popular IT writing platforms, proficiency with Java can create career opportunities and contribute to an impressive portfolio. Using this training will elevate your computing skills to new levels, helping you gain a role in web development even if you have had little prior experience in this area. </span></p><p><span>This </span><b>Java Programming </b><span>tutorial consists of sixteen sections packed with expertly sourced technical tips and explanations. It provides the total learning curve from using Java internal features to creating collections and exception handling. Whether you are a student looking to understand the basics of programming or a candidate studying advanced Java methods for application use, this learning package is perfect for your needs. Enrol now to make Java work for you, and IT employers seek your skills. </span></p></div>
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					<div><p>This best selling <strong>Complete Java Programming </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Complete Java Programming </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p>
<p>The <strong>Complete Java Programming </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Complete Java Programming </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p>
<p>After successfully completing the<strong> Complete Java Programming</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Complete Java Programming </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p>
<p>We know that you are busy and that time is precious, so we have designed the <strong>Complete Java Programming </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p>
<p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Overview
Attain the skills and knowledge to master essential programming principles and learn how to elevate your coding skills to new levels with this Complete Java Programming course. The official language for Android development and one of the most globally popular IT writing platforms, proficiency with Java can create career opportunities and contribute to an impressive portfolio. Using this training will elevate your computing skills to new levels, helping you gain a role in web development even if you have had little prior experience in this area. 
This Java Programming tutorial consists of sixteen sections packed with expertly sourced technical tips and explanations. It provides the total learning curve from using Java internal features to creating collections and exception handling. Whether you are a student looking to understand the basics of programming or a candidate studying advanced Java methods for application use, this learning package is perfect for your needs. Enrol now to make Java work for you, and IT employers seek your skills. 
This best selling Complete Java Programming has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Complete Java Programming is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Complete Java Programming is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Complete Java Programming is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Complete Java Programming, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Complete Java Programming will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Complete Java Programming to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Complete Java Programming

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					<div><p>The comprehensive Level-4 Julia Programming Course has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Level-4 Julia Programming Course today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Level-4 Julia Programming Course has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Level-4 Julia Programming Course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Level-4 Julia Programming Course is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Level-4 Julia Programming Course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Level-4 Julia Programming Course, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Level-4 Julia Programming Course will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Level-4 Julia Programming Course to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.</p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p><p> </p></div>
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The comprehensive Level-4 Julia Programming Course has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Level-4 Julia Programming Course today, and learn from the very best the industry has to offer!
This best selling Level-4 Julia Programming Course has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Level-4 Julia Programming Course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Level-4 Julia Programming Course is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Level-4 Julia Programming Course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Level-4 Julia Programming Course, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Level-4 Julia Programming Course will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Level-4 Julia Programming Course to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
 

Level-4 Julia Programming Course

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			<h2><b>Course Overview</b></h2>		</div>
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					<div><p><span>Learn how to excel in industrial maintenance and manufacturing by taking this professional training for </span><b>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2. </b><span>Variable Frequency Drives (VFD) are critical for controlling the speed of single and three-phase motors, making them fundamental to operations in many industries. You can use this advanced tuition to successfully control a VFD, utilising the functions of a  human-machine interface (HMI). </span></p><p><span>This </span><b>VFD </b><span>course will provide invaluable competencies for the wiring and practical setup for a VFD, making it quickly available for use in any mechanical infrastructure. You will be shown all aspects of wire controlling, programming, and HMI operations. This coaching is considered to be the last stage in a learning path that will make your skills complete and your knowledge invaluable in maintenance and manufacturing sectors of all types. </span></p></div>
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					<div><p>This best selling <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p>
<p>The <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p>
<p>After successfully completing the<strong> VFD 120 Volt Powerflex 4M Configuring and Programming Level 2</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p>
<p>We know that you are busy and that time is precious, so we have designed the <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p>
<p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Overview
Learn how to excel in industrial maintenance and manufacturing by taking this professional training for VFD 120 Volt Powerflex 4M Configuring and Programming Level 2. Variable Frequency Drives (VFD) are critical for controlling the speed of single and three-phase motors, making them fundamental to operations in many industries. You can use this advanced tuition to successfully control a VFD, utilising the functions of a human-machine interface (HMI). 
This VFD course will provide invaluable competencies for the wiring and practical setup for a VFD, making it quickly available for use in any mechanical infrastructure. You will be shown all aspects of wire controlling, programming, and HMI operations. This coaching is considered to be the last stage in a learning path that will make your skills complete and your knowledge invaluable in maintenance and manufacturing sectors of all types. 
This best selling VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the VFD 120 Volt Powerflex 4M Configuring and Programming Level 2, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

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