890 GitHub courses in Manchester delivered On Demand

Welcome to a project-based intermediate course. This course is designed to learn how to create new and exciting projects using various python modules. In each section, we will build a project and with each project, you will learn how to create an online multiplayer game, AOL-style chat room, and more!

This is a comprehensive and practical Apache Spark course. In this course, you will learn and master the art of framing data analysis problems as Spark problems through 20+ hands-on examples, and then scale them up to run on cloud computing services. Explore Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

The course will provide a comprehensive overview of Consul and its capabilities, including deploying a single data center, registering services using service discovery, and accessing Consul Key/Value (KV). It is designed for individuals who possess basic terminal skills and have an understanding of application and data center/cloud networking architectures for running applications.

This course for absolute beginners provides you with the opportunity to systematically learn core statistical and probability concepts, descriptive statistics, hypothesis testing, regression analysis, analysis of variance (ANOVA), and advanced regression/ML methods such as logistics regressions, polynomial regressions, decision trees, and more.

This course is designed to help you master the concepts of JavaScript needed to create interactive web games. You will create five interesting word games that will teach you how to write and test the game code in JavaScript.

Use Solidity, Remix, Ganache, Geth, Metamask, Truffle, and more to make Blockchain Dapps! Includes cryptocurrency know-how

Your guide to practice and learn to excel in Word 2019.

Java is one of the most popular programming languages. Companies such as Facebook, Microsoft, and Apple all want Java.

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!

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.