Unsinkable - because there is no "Titanic" dataset in here! Only what's relevant to a student learning data science, and we use Real World data sets as much as possible.
In this course, we will set out to learn Python and use it to gain an understanding of the basic principles of Data Science. Not only will we cover the basics, we will also tackle some real world problems, and begin the journey to create a Data Science portfolio.
Let's test your understanding of the 'print' statement.
Adding comments to your codebase.
Testing your knowledge of mathematical operations in Python
Test your ability to assign a value to a variable
Test your understanding of Booleans
I am a Data Scientist, with an extensive background using Machine Learning/Artificial Intelligence in the Capital Markets. Starting my career in Banking, followed by Management Consulting, I have worked across domains, and firms ranging from Fortune 50 firms to not-for-profits.
The tools I use on a daily basis include R, Python, SQL and MongoDB, and at times a graph database such as Neo4j.
Some of my analysis has been published in leading media outlets such as CNBC. Aside from Data Science, I am very passionate about Finance, Strategy, Early Stage Venture Capital, and reading about medieval warfare.