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The course covers data science and machine learning with R.

Dive into the world of numbers and patterns with our 'Statistical Analysis Course,' where data tells stories and predictions shape the future. In the first module, you're introduced to the vast landscape of statistics, a toolset essential for deciphering the tales hidden within data. As you progress, familiarise yourself with the fundamental statistical terminology, paving the way for a deeper grasp of how data clusters around central values. The journey through this course is a blend of theory and application, from mastering the intricacies of data variability to the advanced realms of regression analysis and predictive algorithms. Learning Outcomes Gain a solid understanding of statistics and its significance in various fields. Learn to describe and utilise basic statistical terminology and methods. Comprehend and calculate measures of central tendency and data dispersion. Develop skills in probability, distribution analysis, and statistical inference. Apply statistical methods correctly and appreciate the Bayesian approach for learning from data. Why choose this Statistical Analysis Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Statistical Analysis Course Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Statistical Analysis Course for? Aspiring data analysts seeking a foundation in statistics. Business professionals who require analytical skills for data-driven decision-making. Students of the social sciences, economics, or any field involving data interpretation. Researchers needing a robust grasp of statistical analysis methods. Anyone interested in understanding how to utilise data for predictions and analytics. Career path Data Analyst - £25,000 to £40,000 Market Research Analyst - £23,000 to £35,000 Quantitative Analyst - £35,000 to £70,000 Statistical Researcher - £27,000 to £45,000 Business Intelligence Analyst - £30,000 to £55,000 Econometrician - £30,000 to £60,000 Prerequisites This Statistical Analysis Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Statistical Analysis Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: The Realm of Statistics The Realm Of Statistics 00:26:00 Module 02: Basic Statistical Terms Basic Statistical Terms 00:41:00 Module 03: The Center of the Data The Center of the Data 00:03:00 Module 04: Data Variability Data Variability 00:15:00 Module 05: Binomial and Normal Distributions Binomial and Normal Distributions 00:14:00 Binomial Probabilities Table 00:00:00 Z-Table 00:00:00 Module 06: Introduction to Probability Introduction to Probability 00:35:00 Module 07: Estimates and Intervals Estimates and Intervals 00:34:00 Module 08: Hypothesis Testing Hypothesis Testing 00:31:00 Module 09: Regression Analysis Regression Analysis 00:11:00 Module 10: Algorithms, Analytics and Predictions Algorithms, Analytics and Prediction 00:47:00 Module 11: Learning From Experience: The Bayesian Way Learning From Experience: The Bayesian Way 00:31:00 Module 12: Doing Statistics: The Wrong Way Doing Statistics: The Wrong Way 00:37:00 Module 13: How We Can Do Statistics Better How We Can Do Statistics Better 00:41:00 Assignment Assignment - Statistical Analysis Course 00:00:00

Unleash the power of your artistic flair and technical acumen with the 'Modelling Environments for Mobile Games Using Maya & Unity 3D' course. This adventure in digital creation commences with an intimate introduction to your guide, an expert in crafting virtual realms, ensuring a personal connection from the outset. As you proceed, the course unfurls the intricacies of modeling the foundational elements of an island landscape, progressing to the architectural pillars that give your digital world form and function. With each module, the mystique of environment design in the gaming universe is demystified, turning novices into creators of enthralling mobile game worlds. The narrative of learning weaves through the art of texturing and material application, imbuing your models with the semblance of life. Adding flora and fauna breathes vitality into the landscapes you sculpt, while the transition from Maya to Unity transforms your creations from static models to dynamic elements within an interactive tapestry. The final act of this educational odyssey equips you with the prowess to refine your scene with professional camera and lighting setups, culminating in a polished, immersive environment ready to captivate the imaginations of mobile gamers across the globe. Learning Outcomes Craft engaging 3D environments suitable for mobile gaming. Navigate the transition of models between Maya and Unity with ease. Apply textures and materials to enrich visual aesthetics. Construct and fine-tune dynamic lighting for atmospheric effect. Produce polished scenes with professional camera techniques. Why choose this Modelling Environments for Mobile Games Using Maya & Unity 3D course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Modelling Environments for Mobile Games Using Maya & Unity 3D course for? Aspiring 3D environment artists in the gaming industry. Individuals interested in mastering Maya and Unity for mobile game development. Creatives aiming to expand their portfolio with interactive 3D scenes. Game designers looking to deepen their environmental design skills. Hobbyists eager to transform their visions into playable game levels. Career path 3D Environment Artist: £25,000 - £40,000 Mobile Game Developer: £29,000 - £55,000 Unity Developer: £30,000 - £50,000 Maya 3D Modeller: £24,000 - £45,000 Game Designer: £27,000 - £50,000 Lighting Artist: £26,000 - £42,000 Prerequisites This Modelling Environments for Mobile Games Using Maya & Unity 3D does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Modelling Environments for Mobile Games Using Maya & Unity 3D was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Modelling Environments for Mobile Games Using Maya & Unity 3D Module 01: Get To Know Your Instructor and the Course 00:02:00 Module 02: Modeling the Base of the Island 00:17:00 Module 03: Modeling the Buildings 00:34:00 Module 04: Unwrap, Texture And Apply Materials 00:14:00 Module 05: Add Flowers, Birds and Background 00:13:00 Module 06: Export the Models from Maya to Unity 00:05:00 Module 07: Import and Setup the Project in Unity 00:04:00 Module 08: Add Our Mesh to the Scene 00:05:00 Module 09: Materials and Textures 00:06:00 Module 10: Setup Camera and Lightning 00:06:00 Module 11: Bake the Light Map 00:08:00 Module 12: Add Camera Effect to Polish the Scene 00:03:00 Assignment Assignment - Modelling Environments for Mobile Games Using Maya & Unity 3D 00:00:00

Venture into the world of data interpretation with our illuminating 'Applied Statistics' course. In an era where every decision is data-driven, the art of statistics becomes an indispensable tool. This course masterfully unfolds the complexities of statistical analysis, from the basics to advanced methodologies. Whether it's understanding central tendencies, charting out data, or avoiding common pitfalls, we've got it all covered. Set yourself on a path to make informed decisions and discern patterns like never before. Learning Outcomes Understand the core concepts and fundamentals of statistics. Master methods of measuring central tendencies and dispersion in datasets. Dive deep into correlation, regression, and hypothesis testing techniques. Attain proficiency in data visualisation using charts and graphs. Identify and rectify ten prevalent statistical mistakes. Why choose this Applied Statistics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Applied Statistics Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Applied Statistics course for? Students embarking on a journey in data science or related fields. Business analysts seeking to enhance their data interpretation skills. Researchers keen to strengthen their statistical analysis techniques. Professionals in various industries aiming to make data-backed decisions. Educators looking to teach statistical methods more effectively. Career path Data Analyst - £25,000 - £40,000 Statistical Consultant - £30,000 - £50,000 Research Scientist (Statistics) - £35,000 - £55,000 Econometrician - £40,000 - £60,000 Quantitative Analyst - £45,000 - £70,000 Biostatistician - £30,000 - £50,000 Prerequisites This Applied Statistics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Applied Statistics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Statistics Introduction to Statistics 00:18:00 Module 02: Measuring Central Tendency Measuring Central Tendency 00:18:00 Module 03: Measures of Dispersion Measures of Dispersion 00:11:00 Module 04: Correlation and Regression Analysis Correlation and Regression Analysis 00:35:00 Module 05: Probability Probability 00:16:00 Module 06: Sampling Sampling 00:11:00 Module 07: Charts and Graphs Charts and Graphs 00:21:00 Module 08: Hypothesis Testing Hypothesis Testing 00:25:00 Module 09: Ten Common Statistical Mistakes Ten Common Statistical Mistakes 00:30:00 Assignment Assignment - Applied Statistics 00:00:00

Dive into the intricate world of website design with our course, 'HTML and CSS Coding: Beginner to Advanced.' Unravel the mysteries behind the foundational elements of the internet, as you journey from understanding the basics to mastering the complexities. Whether you're a newbie dipping your toes or someone eager to delve deeper, our comprehensive curriculum ensures that by the end, you'll be adept at crafting engaging, responsive, and visually appealing web experiences. Learning Outcomes Comprehend the fundamentals and complexities of HTML, progressing from a beginner to an expert level. Understand the diverse aspects of CSS, from its basic structures to intricate details. Develop the capability to set up an optimal development environment. Acquire the skillset to design and develop a complete website project. Grasp the process to effectively publish a live website. Why buy this HTML and CSS Coding: Beginner to Advanced course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the HTML and CSS Coding: Beginner to Advanced there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this HTML and CSS Coding: Beginner to Advanced course for? Novices aiming to grasp the basics of web development. Intermediate coders seeking to bolster their HTML and CSS knowledge. Designers aspiring to incorporate coding into their skillset. Web enthusiasts eager to understand the backbone of online platforms. Individuals looking to transition into a web design or development role. Prerequisites This HTML and CSS Coding: Beginner to Advanced does not require you to have any prior qualifications or experience. You can just enrol and start learning.This HTML and CSS Coding: Beginner to Advanced was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Web Developer: £30,000 - £50,000 Front-end Developer: £35,000 - £55,000 Web Designer: £25,000 - £45,000 UI/UX Designer: £40,000 - £60,000 Content Manager: £28,000 - £42,000 Website Tester: £27,000 - £40,000 Course Curriculum Getting Started Introduction 00:03:00 Course Curriculum 00:07:00 How to Get Course requirements 00:02:00 Getting Started on Windows, Linux or Mac 00:02:00 How to ask a Great Questions 00:01:00 FAQ's 00:01:00 Setting Up Development Environment Introduction 00:05:00 Choosing Code Editor 00:06:00 Installing Code Editor (Sublime Text) 00:04:00 Overview of a Webpage 00:05:00 Full HTML Code Page 00:07:00 First Hello World! Webpage 00:09:00 HTML Fundamentals Introduction 00:03:00 Heading 00:09:00 Paragraph 00:08:00 Formatting Text 00:12:00 List Items Unordered 00:05:00 List Items Ordered 00:04:00 Classes 00:09:00 ID's in CSS 00:06:00 Comments in HTML 00:04:00 Summary 00:04:00 HTML Intermediate Introduction 00:02:00 Images 00:12:00 Forms 00:05:00 Form Actions 00:04:00 Br tag 00:03:00 Marquee 00:06:00 Text area 00:06:00 Tables 00:06:00 Links 00:07:00 Navbar - Menu 00:04:00 HTML Entities 00:05:00 Div tag 00:06:00 Google Maps 00:07:00 Summary 00:02:00 HTML Advanced Introduction 00:02:00 HTML5 Audio 00:07:00 HTML5 Video 00:05:00 Progress Bar 00:04:00 Drag and Drop 00:18:00 Canvas 00:06:00 I frames 00:05:00 Input Types 00:04:00 Input Attributes 00:06:00 YouTube Video Linking 00:04:00 Creating Responsive Page 00:05:00 Summary 00:02:00 HTML Expert Introduction 00:02:00 Registration Form 00:04:00 Login Form 00:04:00 About Us Form 00:02:00 Contact Us Form 00:10:00 Footer Form 00:03:00 Integrate All Together 00:07:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:02:00 Summary 00:02:00 HTML Website Project Introduction 00:02:00 Challenge - HTML 5 Clock Face with Numbers 00:05:00 Project overview 00:03:00 Conclusion on Project 00:01:00 Summary 00:02:00 CSS Fundamentals Introduction 00:03:00 CSS Syntax 00:05:00 Creating a first page with CSS Style 00:13:00 Inline CSS 00:06:00 Internal CSS 00:05:00 CSS External 00:10:00 CSS Classes 00:09:00 CSS IDs 00:06:00 Colors 00:08:00 Backgrounds 00:04:00 Floating 00:09:00 Positioning 00:06:00 Margins 00:07:00 Padding 00:04:00 Borders 00:03:00 Summary 00:02:00 CSS Intermediate Introduction 00:02:00 Styling Text 00:07:00 Aligning Text 00:04:00 Styling Links 00:10:00 Font Family 00:07:00 Font Styles 00:03:00 Applying Google Fonts 00:07:00 Box Model 00:09:00 Icons 00:09:00 Tables 00:16:00 Navigation-Menu 00:11:00 Dropdowns 00:15:00 Summary 00:02:00 CSS Advanced Introduction 00:02:00 Advanced Selectors 00:06:00 Forms 00:17:00 Website Layout 00:21:00 Rounded Corners 00:06:00 Color Keywords 00:06:00 Animations 00:08:00 Pseudo Classes 00:03:00 Gradients 00:03:00 Shadows 00:03:00 Calculations 00:05:00 Creating Responsive Page 00:06:00 Summary 00:02:00 CSS Expert Introduction 00:01:00 Button Styles 00:06:00 Flexbox 00:14:00 CSS Grid 00:15:00 Pagination 00:07:00 Multiple Columns 00:06:00 Image Reflection 00:03:00 UI - UX Design 00:09:00 Social Media Icons 00:08:00 External CSS Style adding 00:06:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:03:00 Summary 00:02:00 CSS Website Project Introduction 00:01:00 CSS Project Getting 00:05:00 CSS Project Overview 00:08:00 Summary 00:01:00 Publish Your Website For Live Introduction 00:02:00 Installing Free FTP Solution (FileZilla) 00:04:00 Setting Up FTP (File Transfer Protocol) 00:03:00 Publish Website to Hosting Server 00:04:00 Summary 00:01:00

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Embark on a journey to uncover the labyrinthine world of digital financial security with the 'Hacked Credit and Debit Card Recovery Course'. Navigate through the depths of the web, from understanding the diverse range of websites to delving deep into the dark corridors of the internet, equipping yourself with invaluable cyber intelligence. Through this course, you'll decode various threat perceptions, familiarise yourself with card fraud intricacies, and master the art of information recovery - all tailored to ensure your digital financial transactions remain impervious to threats. Learning Outcomes Understand the fundamentals of cyber threats and their impact on digital financial transactions. Differentiate between various website types and their susceptibility to cyber-attacks. Analyse threat actors and their modus operandi in the cyber realm. Gain insights into the deep and dark web and the tools necessary for information recovery. Acquire proficiency in information handling procedures to maintain digital financial security. Why buy this Hacked Credit and Debit Card Recovery Course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Hacked Credit and Debit Card Recovery Course there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Hacked Credit and Debit Card Recovery Course for? Individuals keen on enhancing their understanding of digital financial security. Banking and finance professionals looking to fortify their defence mechanisms. Cybersecurity enthusiasts aiming to delve into card fraud detection and prevention. Internet users wanting to safeguard their online financial transactions. Tech-savvy individuals eager to explore deep and dark web intelligence. Prerequisites This Hacked Credit and Debit Card Recovery Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Hacked Credit and Debit Card Recovery Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Cyber Security Analyst: £35,000 - £55,000 Fraud Detection Analyst: £30,000 - £50,000 Dark Web Researcher: £40,000 - £65,000 Information Security Officer: £45,000 - £70,000 Threat Intelligence Specialist: £50,000 - £75,000 Financial Security Consultant: £55,000 - £80,000 Course Curriculum Unit 01: Introduction Introduction & Objective 00:01:00 Unit 02: Types of Website Types of Website 00:01:00 Surface Web 00:01:00 Deep Web 00:01:00 Dark Web 00:03:00 2016 - 2017 Profit Comparison from 5000 00:01:00 Intelligence Agency Web 00:01:00 Quantum Computers 00:01:00 Polymeric Falcighol Derivation 00:01:00 Graphical representation 00:01:00 Unit 03: Threat Perception Threat Perception 00:01:00 Threat Actor 00:01:00 Threat Actor-Compared to a Hacker Or Attacker 00:01:00 Is the Dark Net Market gone? 00:03:00 Unit 04: Card Fraud Card Fraud 00:04:00 Card-Not-Present Fraud (CNP) 00:02:00 Unit 05: Threat Ninja Threat Ninja 00:01:00 Threat Ninja Architecture 00:03:00 Adaptive Assessment 00:01:00 Secure Coat Approach 00:01:00 Secure Coat's Value Proposition 00:02:00 Challenge 00:01:00 Unit 06: Threat Actor Analysis Threat Actor Analysis 00:00:00 Kuchinoni - ATM Theft 00:01:00 Insider Threats 00:01:00 Unit 07: Cyber Security Monitoring Cyber Security Monitoring 00:01:00 Protect Your Company via DDWM 00:01:00 Unit 08: Threat Life Cycle Threat Life Cycle 00:06:00 Unit 09: Information Leakage Points Information Leakage Points 00:04:00 Unit 10: Valuable Information Valuable Information 00:09:00 Unit 11: Area of Search Area of Search 00:01:00 Sell Cards at Social Media, Messenger, etc. Groups 00:01:00 Unit 12: Deep & Dark Web Intelligence and Information Recovery Deep & Dark Web Intelligence and Information Recovery 00:01:00 Unit 13: Banking Fraud Types Banking Fraud Types 00:01:00 Card Fraud- Nilson Report 00:01:00 U.S. Card Fraud Losses 00:01:00 Card Fraud Statistics 00:05:00 Unit 14: Threat Ninja Tool Secure Coat Threat Ninja Portal 00:01:00 Threat Ninja Demo 00:05:00 Unit 15: Information Handing Procedures Information Handling Procedures 00:01:00 Card Discard Life Cycle 00:02:00 Unit 16: Course Wrap up Congratulations and Course Summary 00:03:00 Thank you! 00:01:00 Unit 17: Bonus Rise in the price of the Crypto Coin 00:06:00 Assignment Assignment - Hacked Credit and Debit Card Recovery Course 00:00:00

In a world of big data, statistical analysis is no longer a luxury, it's a necessity. Whether you're a seasoned professional or just starting out, our "Measuring Central Tendency and Dispersion" course is a must-have tool in your analytical arsenal. With comprehensive modules covering everything from introduction to statistics to common statistical mistakes, you'll gain a deep understanding of how to measure and interpret data, making you a valuable asset to any organisation. Enrol now and take your analytical skills to the next level! Learning Outcomes: After completing the course, you can expect to: Understand statistical analysis and its importance in decision-making. Learn how to measure central tendency and dispersion accurately. Gain knowledge about correlation and regression analysis, probability, and hypothesis testing. Acquire skills in creating charts and graphs for data visualisation. Identify and avoid common statistical mistakes. Develop a strong foundation in statistical analysis to apply in future studies and career. In today's data-driven world, a strong understanding of statistics is crucial for professionals across industries. Our comprehensive Statistics course is designed to equip learners with the foundational knowledge and skills necessary for effective statistical analysis. With modules covering a range of statistical concepts, including measuring central tendency and dispersion, probability, hypothesis testing, and more, this course provides an in-depth exploration of the principles that underpin statistical analysis. Whether you're a business professional looking to make data-driven decisions or a student preparing for further study in statistics, this course offers a comprehensive overview of statistical analysis. Our course materials provide a theoretical foundation that can be applied to a range of real-world situations, helping learners to develop a strong understanding of the concepts that underpin statistical analysis. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for the following: Business professionals looking to improve their data analysis skills. Students preparing for further study in statistics or related fields. Anyone with an interest in statistical analysis. Career path This course will be helpful for anyone looking to pursue a career as: Statistical Analyst: £23,000-£40,000 per year. Data Analyst: £24,000-£45,000 per year. Business Analyst: £25,000-£50,000 per year. Market Research Analyst: £24,000-£40,000 per year. Financial Analyst: £26,000-£55,000 per year. Actuary: £30,000-£70,000 per year.

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In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Machine Learning Project - Auto Image Captioning for Social Media will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Machine Learning Project - Auto Image Captioning for Social Media will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Machine Learning Project - Auto Image Captioning for Social Media and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Machine Learning Project - Auto Image Captioning for Social Media is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Machine Learning Project - Auto Image Captioning for Social Media. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Machine Learning Project - Auto Image Captioning for Social Media will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Section 01: Introduction Introduction to Course 00:05:00 Section 02: Building the Auto Image Captioning Import the Libraries 00:09:00 Accessing the Caption Dataset for Training 00:05:00 Accessing the Image DataSet for Training 00:02:00 Preprocessing the Text Data 00:11:00 Pre-Process and Load Captions Data 00:11:00 Loading the Captions for Training and Test Data 00:04:00 Preprocessing of Image Data 00:11:00 Loading Features for Train and Test Dataset 00:09:00 Text Tokenization and Sequence Text 00:11:00 Data Generators 00:11:00 Define the Model 00:03:00 Evaluation of Model 00:09:00 Test the Model 00:08:00 Section 03: Deployment of Machine Learning App Create Streamlit App 00:10:00 Streamlit Prediction 00:06:00 Test Streamlit App 00:03:00 Deploy Streamlit on AWS EC2 Instance 00:09:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00