This course is part of Data Science and Analysis Tools - from Jupyter to R Markdown Specialization

Instructor: Sharon Jason

Skills you'll gain

There are 5 modules in this course

This course is designed for learners with no coding experience. It provides a crash course in Python, enabling the learners to delve into core data analysis topics that can be transferred to other languages. This course will teach you how to import and organize your data, use functions to gather descriptive statistics and perform statistical tests. Experience a truly hands-on, self-paced learning journey with our unique video-free course structure. 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 various 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 allow you to apply all learned concepts within a real-world context.

Importing and Describing Mixed Data Sets (pandas, matplotlib)

Statistical Tests to Determine if Populations are Different

Statistical Tests to Describe Relationships

Python Data Analysis Lab

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