Introduction to Data Science in Python from University of Michigan is the first of five courses of Applied Data Science with Python Specialization from University of Michigan.
This course covers:
- Describe common Python functionality and features used for data science
- Explain distributions, sampling, and t-tests
- Query DataFrame structures for cleaning and processing
- Understand techniques such as lambdas and manipulating csv files
You can see the Certificate of Completion and other certificates in my Certificates Repo that contains all my certificates obtained through my journey as a self-made Data Science and better developer.
Please, don't fork or copy this repository.
The Applied Data Science with Python Specialization from University of Michigan, is a very easy and straight forward path. Data Science is one of the hardest subfield of Computer Science and requires a lot of study and hard work.