Python for Data Science
Overview
This course, part of the Data Science MicroMasters® program, will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science. Specifically, you’ll learn how to use:
- Python
- Jupyter Notebooks
- pandas
- NumPy
- Matplotlib
- Git
- and many other tools.
You will learn these tools all within the context of solving compelling data science problems.
After completing this course, you’ll be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it, and ultimately generate easily sharable reports.
Prerequisites
Previous experience with any programming language (Java, C, Pascal, Fortran, C++, Python, PHP, etc.) is expected. This includes a high school, or undergraduate equivalent, to an introduction to computer science course. You should be comfortable with loops, if/else, and variables.
Course Format
This course is self-paced, containing assignments without due dates. You can progress through the course at your own speed.