Introduction to Data Science in Python | Python, Data Science

Gain a foundational understanding of data science and develop job-relevant skills with hands-on projects in this intermediate-level course from the University of Michigan.

Introduction

Introduction to Data Science in Python by Christopher Brooks from the University of Michigan. This course provides an introduction to the field of data science, covering common Python functionality and features used for data science, as well as techniques like lambdas and manipulating csv files.

Highlights

• Understand techniques such as lambdas and manipulating csv files
• Describe common Python functionality and features used for data science
• Query DataFrame structures for cleaning and processing
• Explain distributions, sampling, and t-tests

Recommendation

This course is suitable for those looking to gain a foundational understanding of data science and develop job-relevant skills with hands-on projects. It is an intermediate-level course that requires some related experience.