Data Analysis in Python with pandas & matplotlib in Spyder
This course is intended for students with no prior coding experience, and it provides a crash course in Python that allows students to delve into core data analysis topics that can be transferred to other languages. This course will teach you how to import and organize data, how to use functions to gather descriptive statistics, and how to run statistical tests. This course is video-free to allow for a truly hands-on, self-paced learning experience.
Assignments include short explanations with images as well as runnable code examples with suggested edits to further explore code examples and gain a deeper understanding by doing. Along the way, you'll receive immediate feedback from a variety of assessment items, gradually progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes rather than hours. Finally, a longer-form lab at the end of the course will allow you to apply everything you've learned in a real-world context.
What you will learn:
- Describe a numerical data set with statistics
- Import and describe a mixed data set using pandas and matplotlib
- Determine if populations are different using statistical tests
- Describe relationships between variables using statistical tests
Coursera Rating: 4.0/5.0
Enroll here: coursera.org/learn/codio-data-analysis-in-python-with-pandas-and-matplotlib-in-spyder
