Harvard University · edX
Introduction to Data Science with Python
4.3174 ratingsLearn the concepts and techniques that make up the foundation of data science and machine learning.
Overview
Using existing spreadsheet and quantitative reasoning skills, learners will make their data tell a story. This course is ideal for learners who are just starting out in their careers, journalists looking to expand their skill set, and marketers looking to tell a story.
What you'll learn
- Raw data translation into accessible visualizations for non-technical audiences.
- Visual design theories and data analysis skills to help convey meaning
- The importance of effective storytelling
Skills you'll practise
Advantages and disadvantages
Advantages
- University courses you can audit for free, with lectures, readings and practice quizzes.
- A verified certificate from the university if you pay for it.
- Self-paced: start any time.
Disadvantages
- Graded assignments and the certificate need the paid track.
- Audit access can expire a few weeks after the course ends.
- Learning is free, but the certificate costs money.
- Some parts (graded work, certificate) are paid.
Some points apply to every course of this kind; see how we rank.
Free to audit
- Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
- Paid: Graded assignments and the verified certificate (Certificate $99). Audit access may end after the course closes.
Before you start
None.
Taught by
- edX Boot CampsData Analytics and Fintech Boot Camps Learning Team
edX is in Tier 4: commercial training companies and platform-made courses of our institution ranking (55/100).
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