Researchers at Stanford have developed an Artificial Intelligence (AI) model,' StockBot', which uses LSTMs to predict stock prices with gains higher than the most aggressive ETFs Comprehensive Guide to GitHub for Data Scientists The 8 Neural Network Architectures #MachineLearning Researchers Need to Learn #KDnuggets Vaex: Pandas but 1000x faster #KDnuggets 10 Modern Data Engineering Tools #KDnuggets Researchers at Stanford have developed an Artificial Intelligence (AI) model,' StockBot', which uses LSTMs to predict stock prices with gains higher than the most aggressive ETFs Machine Learning Algorithms Explained in Less Than 1 Minute Each by Nisha Arya Free Python Automation Course by Matthew Mayo Decision Tree Algorithm, Explained by Nagesh Singh Chauhan Parallel Processing Large File in Python by Abid Ali Awan The 5 Hardest Things to Do in SQL by Josh Berry Linear Algebra for Data Science by Benjamin O. Tayo Free Python Crash Course by Matthew Mayo 15 Python Coding Interview Questions You Must Know For Data Science by Nate Rosidi Top Programming Languages and Their Uses by Claire D. Costa Naive Bayes Algorithm: Everything You Need to Know by Nagesh Singh Chauhan

Last month, I wrote an article on building a data science learning roadmap with free courses offered by MIT. However, the focus of most courses I listed was highly theoretical, and there was a lot of emphasis on learning the math and statistics behind machine learning algorithms. While the MIT roadmap will help you understand the principles behind predictive modelling, what's lacking is the ability to actually implement the concepts learnt and execute a real-world data science project. After spending some time scouring the Internet, I found a couple of freely available courses by Harvard that covered the entire data science workflow?--?from programming to data analysis, statistics, and machine learning. Once you complete all the courses in this learning path, you are also given a capstone project that allows you to put everything you learnt in practice.