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!
The Complete Swing Trading Course
Learn how to use swing trading and technical analysis systems for stock trading, Forex, cryptourrency, options trading & financial trading.
Step-by-step course that teaches you how to automate manual reporting, processes, and identify cryptocurrency arbitrage.
Pairs Trading Analysis with R
Learn pairs trading analysis from basic to expert level through a practical course with R statistical software.
Pairs Trading Analysis with Python
Learn pairs trading analysis from basic to expert level through a practical course with Python programming language.
The Complete Python/PostgreSQL Course
Take the next step in your Python development by leveraging the power of PostgreSQL and databases.
Python for Finance: Investment Fundamentals & Data Analytics
Learn Python programming and conduct real-world financial analysis in Python.
Python for Financial Analysis and Algorithmic Trading
Learn how to use core Python libraries like numpy, pandas, matplotlib, quantopian, finance, and more for algorithmic trading.
Machine Learning A-Z™: Hands-On Python & R In Data Science
Learn how to create machine learning algorithms in Python and R from two Data Science experts.
TensorFlow for Deep Learning with Python
Learn how to use Google’s Deep Learning Framework – TensorFlow with Python, and solve problems with cutting edge techniques.