Data Science Courses/MOOCS



Data Science Specialization

Machine Learning Specialization

Data Analysis and Interpretation Specialization

Mining Massive Data Sets (Stanford)

Big Data specialization (UC San Diego):
Introduction to Big Data
Hadoop Platform and Application Framework
Introduction to Big Data Analytics
Machine Learning with Big Data
Introduction to Graph Analytics
Big Data – Capstone Project

Machine Learning specialization (U. of Washington):
Machine Learning Foundations: A Case Study Approach
Recommender Systems & Dimensionality Reduction
Clustering & Retrieval
Machine Learning Capstone: An Intelligent Application with Deep Learning

Data Analysis and Interpretation specialization (Weslayan):
Data Management and Visualization
Data Analysis Tools
Regression Modeling in Practice
Machine Learning for Data Analysis
Data Analysis and Interpretation Capstone



Introduction to R

Data Analysis and Statistical Inference

  • Introduction to R
  • Introduction to data
  • Probability
  • Foundations for inference: Sampling distributions
  • Foundations for inference: Confidence intervals
  • Inference for numerical data
  • Inference for categorical data
  • Introduction to linear regression
  • Multiple linear regression

Intro to Computational Finance with R

  • Return calculations
  • Random variables and probability distributions
  • Bivariate distributions
  • Simulating time series data
  • Analyzing stock returns
  • Constant expected return model
  • Introduction to portfolio theory
  • Computing efficient portfolios using matrix algebra

Data School – Data science for beginners! | Data Science
edureka! | Data Science
Zipfian Academy | Data Science
David Langer | Data Science with R
Derek Kane | Data Science
MarinStatsLectures | Statistics
LearnR | R programming
Christoph Scherber | Statistics
Brandon Foltz | Statistics
statisticsfun | Statistics
Java and R Tutorials | R programming
bigdata simplified | All things big data
Derek Banas | Playlists on SQL and Python

Must MOOCs for Data Science