Introduction to Computational Thinking and Data Science free videos and free material uploaded by Massachusetts Institute of Technology. This session contains about Introduction to Computational Thinking and Data Science Updated syllabus , Lecture notes , videos , MCQ , Privious Question papers and Toppers Training Provided Training of this course. If Material not uploaded check another subject
Introduction and Optimization Problems
Optimization Problems
Graph-theoretic Models
Stochastic Thinking
Random Walks
Monte Carlo Simulation
Confidence Intervals
Sampling and Standard Error
Understanding Experimental Data
Understanding Experimental Data (cont.)
Introduction to Machine Learning
Clustering
Classification
Classification and Statistical Sins
Statistical Sins and Wrap Up
intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.
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