This session Massachusetts Institute of Technology is offering an open online version of course, ‘Introduction to Computational Thinking and Data Science.’ This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity.
This free online course 6.00.2x is an introduction to using computation to understand real-world phenomena.
Course At A Glance
Length: 10 weeks course
Effort: 15 hours/week
Subject: Computer Science
Institution: Massachusetts Institute of Technology & edX.
Languages: English
Price: Free
Certificate Available: Yes. Verified Certificate for $ 49
Session: Open
Providers Details
Massachusetts Institute of Technology is offering the course via renowned online platform edX. MITx courses embody the inventiveness, openness, rigour and quality that are hallmarks of MIT, and many use materials developed for MIT residential courses in the Institute’s five schools and 33 academic disciplines.
edX offers amazing quality classes by the best professors from the best schools. edX mission is to increase access to high-quality education for everyone, everywhere.
About This Course
This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity. You will spend a considerable amount of time writing programs to implement the concepts covered in the course. For example, you will write a program that will simulate a robot vacuum cleaning a room or will model the population dynamics of viruses replicating and drug treatments in a patient’s body.
Why Take This Course
Applicants will be offered this free online course in the English language. Massachusetts Institute of Technology is dedicated to advancing knowledge and educating students in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century.
Learning Outcomes
After completing this course, students will learn:
- Plotting with the pylab package
- Stochastic programming and statistical thinking
- Monte Carlo simulations
Course Format
Topics covered include:
- Plotting with the pylab package
- Random walks
- Probability, Distributions
- Monte Carlo simulations
- Curve fitting
- Knapsack problem, Graphs and graph optimization
- Machine learning basics, Clustering algorithms
- Statistical fallacies
Requirements
No prerequisites
How to Apply
1. Go to the course website link
2.Create an edX account to SignUp
3. Choose “Register Now” to get started.
4. EdX offers honour code certificates of achievement, verified certificates of achievement, and XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
5. Once you sign up for a course and activate your account, click on the login button on the edx.org home page and type in your email address and edX password. This will take you to your dashboard, with access to each of your active courses. (Before a course begins, it will be listed on your dashboard but will not yet have a “view course” option.)
