Data Science & Analytics Courses
Want in on the fields revolutionizing modern business? Then check out these data science and analytics courses.
Data science and data analytics are two sides of the same coin. One uses data to understand the present, the other to model the future.
Being familiar with one is good. But using these data science and analytics courses to know both is the best way to ensure future success.
You’ll learn things like industry best practices and the most common tools. Plus, of course, important techniques like machine learning and regression analysis.
Countless organisations rely on this kind of analysis. Start today to begin your journey with big data!
Introduction to Machine Learning on AWS
Learn how to use AWS for computer vision, data extraction and analysis, language processing and more.
Principles, Statistical and Computational Tools for Reproducible Science
Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.
The Complete Swing Trading Course
Learn how to use swing trading and technical analysis systems for stock trading, Forex, cryptourrency, options trading & financial trading.
Master of Machine Learning and Data Science
This course has been created to deepen an understanding of machine-learning methods from a data-driven perspective, ideal to propel a career in engineering or data science forwards through analysis and hands-on application.
MSc Data Analytics and Enterprise Architecture
This MSc aims to cultivate a strong knowledge of IT infrastructure, and how to utilize it to increase company efficency. These increasingly powerful skills will advance your career in modern business management.
Tableau Business Intelligence Analyst Professional Certificate
Launch your career in Data Analytics. Build in-demand skills and gain credentials to go from beginner to job-ready in 8 months or less.
Statistics and R
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.