3918 Computing & IT courses in Blantyre delivered On Demand

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Overview This comprehensive course on Data Science with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science with Python comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 3 sections • 6 lectures • 01:15:00 total length •Module 01: Introduction to Python Data Science: 00:03:00 •Module 02: Environment Setup: 00:10:00 •Module 01: Numpy package for calculations: 00:16:00 •Module 02: Panda package for Data cleaning: 00:19:00 •Module 01: Matplotlib Data Visualization Part 1: 00:16:00 •Module 02: Matplotlib Data Visualization Part 2: 00:11:00

Overview This comprehensive course on Cocos2d-x v3 JavaScript: Game Development will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Cocos2d-x v3 JavaScript: Game Development comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Cocos2d-x v3 JavaScript: Game Development. It is available to all students, of all academic backgrounds. Requirements Our Cocos2d-x v3 JavaScript: Game Development is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 16 sections • 86 lectures • 07:22:00 total length •What Is Cocos2d-x JavaScript?: 00:03:00 •Setting Up For iOS: 00:09:00 •Setting Up For Android on Mac: 00:12:00 •Setting For Android on Windows: 00:13:00 •Setting Up For the Web: 00:07:00 •Multi Resolution Support: 00:18:00 •Adding a Sprite: 00:07:00 •Positioning Using MoveTo: 00:05:00 •Positioning Using MoveBy: 00:06:00 •Positioning Using JumpTo: 00:03:00 •Positioning Using JumpBy: 00:04:00 •Positioning Using BezierTo: 00:04:00 •Positioning Using BezierBy: 00:04:00 •Positioning Using Place: 00:04:00 •Repeat: 00:04:00 •RepeatForever: 00:04:00 •Scaling Using ScaleTo: 00:04:00 •Scaling Using ScaleBy: 00:04:00 •Tinting Using TintTo: 00:04:00 •Tinting Using TintBy: 00:04:00 •Fading Using FadeTo: 00:04:00 •Fading Using FadeIn: 00:03:00 •Fading Using FadeOut: 00:03:00 •Skewing Using SkewTo: 00:05:00 •Skewing Using SkewBy: 00:04:00 •Rotating Using RotateTo: 00:03:00 •Rotating Using RotateBy: 00:03:00 •Sequence: 00:04:00 •Playing Sound Effects: 00:07:00 •Playing Sound Effects Repeatedly: 00:03:00 •Setting Sound Effect Volume: 00:03:00 •Stopping Sound Effects: 00:05:00 •Playing Music: 00:05:00 •Stopping Music: 00:05:00 •Pausing and Resuming Music: 00:05:00 •Setting Music Volume: 00:03:00 •Setting Up Single Touch Events: 00:05:00 •Single Touch Began: 00:06:00 •Single Touch Moved: 00:04:00 •Single Touch Ended: 00:04:00 •Setting Up Multi Touch Events: 00:03:00 •Multi Touch Began: 00:04:00 •Multi Touch Moved: 00:03:00 •Multi Touch Ended: 00:04:00 •Setting up Mouse Events: 00:03:00 •Mouse Button Pressed: 00:03:00 •Mouse Button Released: 00:03:00 •Mouse Moved: 00:03:00 •Mouse Wheel Scrolled: 00:03:00 •Setting up Keyboard Events: 00:03:00 •Keyboard Key Pressed: 00:04:00 •Keyboard Key Released: 00:04:00 •Setting up Accelerometer Events: 00:05:00 •Using the Accelerometer: 00:04:00 •Setting up A Menu: 00:02:00 •Adding a Menu Font Item: 00:07:00 •Adding a Menu Image Item: 00:05:00 •Menu Alignment: 00:03:00 •Creating a New Scene: 00:03:00 •Pushing a Scene: 00:06:00 •Popping a Scene: 00:04:00 •Replacing a Scene: 00:04:00 •Scene Transitions: 00:05:00 •Node Action Animations: 00:05:00 •Scheduling: 00:07:00 •Debug Information: 00:05:00 •Remove Child: 00:05:00 •LabelTTF: 00:05:00 •LabelAtlas: 00:05:00 •LabelBMFont: 00:07:00 •UIButton: 00:07:00 •UICheckBox: 00:09:00 •UIImageView: 00:04:00 •UILabelAtlas: 00:06:00 •UILabelBMFont: 00:06:00 •UILabel: 00:04:00 •UIListView: 00:10:00 •UILoadingBar: 00:09:00 •UIRichText: 00:08:00 •UIScrollView: 00:08:00 •UISlider: 00:09:00 •UITextField: 00:10:00 •UILayout: 00:07:00 •UIPageView: 00:11:00 •Resource: 00:00:00 •Assignment - Cocos2d-x v3 JavaScript: Game Development: 00:00:00

Overview This comprehensive course on Spatial Data Visualization and Machine Learning in Python Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Spatial Data Visualization and Machine Learning in Python Level 4 comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Spatial Data Visualization and Machine Learning in Python Level 4. It is available to all students, of all academic backgrounds. Requirements Our Spatial Data Visualization and Machine Learning in Python Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 8 sections • 21 lectures • 04:40:00 total length •Introduction: 00:14:00 •Python Installation: 00:03:00 •Installing Bokeh: 00:04:00 •Data Preparation: 00:24:00 •Creating a Bar Chart: 00:18:00 •Creating a Line Chart: 00:12:00 •Creating a Doughnut Chart: 00:22:00 •Creating a Magnitude Plot: 00:31:00 •Creating a Geo Map Plot: 00:20:00 •Creating a Grid Plot: 00:12:00 •Data Pre-processing: 00:21:00 •Building a Predictive Model: 00:21:00 •Building a Prediction Dataset: 00:07:00 •Adding predicted data to our plots - Part 1: 00:13:00 •Adding predicted data to our plots - Part 2: 00:14:00 •Adding predicted data to our plots - Part 3: 00:15:00 •Adding the Grid Plot: 00:08:00 •Installing Visual Studio Code: 00:01:00 •Creating the Project and Virtual Environment: 00:08:00 •Building and Running the Server: 00:12:00 •Resources: 00:00:00

Build 9 projects to master 2 essential and modern technologies: Python and PostgreSQL

Throughout this course, you will learn everything you need to know about linear and non-linear regression, regression modeling, and Stata. By the end of this course, you will be able to understand and be confident in interpreting complex types of data using Stata.

Learn all the CSS Grid concepts and create professional responsive website designs - multiple website layout projects.

This course will not only teach you the basics of Node.js but also help you to understand how it helps in building efficient server-side and networking applications. You will learn about sessions and find out how to work with the Node.js API, handle different HTTP requests, and use MongoDB with Node.js.

Learn to create captivating AI-generated art using DALL-E, Midjourney, and other AI art software. This course covers the fundamentals of AI art creation and provides hands-on training on how to generate stunning visuals. Develop your creativity and artistic skills in a fun and engaging way.

Description: When it comes to understanding the fundamentals of computer networking the individual should have the appropriate knowledge of how to connect several different elements to create ideal computing networking. This course will teach how to function in a wide range of areas within the ICT industry and in ICT support roles in other industries. You will learn about local and wide area networks, voice network and wireless data network installation and maintenance. This course will also teach you the key operational and technical aspects of computer communication systems and relevant security issues, enabling you to appreciate emerging technologies. If you are a non-techie interested in learning about computer networks or aspiring IT professional who wishes to better understand how networks work, then get all the information you need here. This course has been designed to equip students with a wide range of software, technical and ICT skills required by industry at the diploma level. By the end of this program, the students will have the ability to develop an IT solution to a practical business problem using a technological approach. Who is the course for? Non-Techies interested in Learning About Computer Networks. Business & IT Managers Need to better understand how network works. Aspiring & Inexperienced IT Professionals. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: Diploma in IT Communications is a useful qualification to possess and would be beneficial for the following careers: Entry level technician at Telephone/Internet Service Providers Computer sales and service technician Entry-level IT/ network technician at banks Entry-level IT/ network support technician at insurance companies Entry-level IT/ network support technician at utility companies Entry-level IT/ network support technician at energy based companies Entry-level IT/ network technician at universities Entry-level IT/ network technician at broadcast houses Entry-level IT/ network technician in the government Owner/Manager small computer business. Module 1: Basics of Data Communications Basics of the Information Technology 01:00:00 INTRODUCTION 00:15:00 OBJECTIVES 00:15:00 DATA COMMUNICATION 00:30:00 COMMUNICATION MEDIA 00:30:00 TYPES OF COMMUNICATION SERVICES 00:30:00 MODEM 00:30:00 COMPUTER NETWORK 00:30:00 BENEFITS OF NETWORK 00:15:00 TYPES OF NETWORK 00:30:00 IMPORTANT TERMS USED IN NETWORKING 00:30:00 TELECONFERENCING 00:30:00 Module 2: Computer Networking Basics Introduction to Computer Networking 00:30:00 Types of Computer Networks 01:00:00 Types of Network Equipment 00:30:00 Ethernet 00:30:00 Wireless Local Area Networking 01:00:00 Internet Service 01:00:00 TCP/IP and Other Internet Protocols 01:00:00 Network Routing, Switching and Bridging 01:00:00 IPv4 & IPv6 01:00:00 Module 3: Networking Basics of Computer Networking 00:30:00 Computer Networking Design and Solutions 00:30:00 Getting the Right Computer Network Hardware 00:30:00 Setting Up Your Computer Network 00:30:00 Wireless vs Wired 00:30:00 Cable Management for Wired Computer Network 01:00:00 Managing Your Network With Network Monitoring Tools 00:30:00 Computer Network Maintenance and Repair 00:30:00 Troubleshooting Computer Network Wrapping Up 01:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Diploma in IT Communications 00:20:00 Final Exam Final Exam- Diploma in IT Communications 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00