Harvard University · edX
Data Science: Building Machine Learning Models
4.4133 ratingsBuild a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
City to City: Comparing, Researching and Writing about Cities
Overview
This course introduces undergraduate planning students to the role of the planner in researching issues in cities both in the United States and abroad. This course is a practical, hands-on workshop that challenges students to research, write and present their ideas on two different cities: A U.S. City (preferably somewhere close) and Copenhagen. Students will be equipped to:
select and research a thesis topic,
work professionally with faculty and other experts on the topic of their choice, and
research, write and present.
Skills you'll practise
Advantages and disadvantages
Advantages
- The real MIT course: lecture notes, problem sets and exams, often with solutions.
- Free, with no sign-up or deadlines.
- Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
- Completely free.
- Self-paced: start any time.
Disadvantages
- No certificate, no grading and no forum: you need to be self-driven.
- Many courses are recordings of past semesters and some have notes only, no videos.
- No certificate.
Some points apply to every course of this kind; see how we rank.
Free to learn
- Free: All the materials are free to use, with no sign-up. MIT OpenCourseWare gives no certificate.
Taught by
- Cherie Miot Abbanat
Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.
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