Data Analysis in Python with pandas & matplotlib in Spyder (Coursera)

To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a longer-form lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.

Course 1 of 4 in the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization.

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

Syllabus

WEEK 1: Describing a Numerical Data Set

WEEK 2: Importing and Describing Mixed Data Sets (pandas)

WEEK 3: Statistical Tests to Determine if Populations are Different

WEEK 4: Statistical Tests to Describe Relationships

WEEK 5: Python Data Analysis Lab