The Data Science Specialization covers the concepts and tools for an entire data science pipeline. Successful participants learn how to use the tools of the trade, think analytically about complex problems, manage large data sets, deploy statistical principles, create visualizations, build and evaluate machine learning algorithms, publish analyses, and develop data products. Courses include:
The Data Scientist's Toolbox R Programming Getting and Cleaning Data
Exploratory Data Analysis Reproducible Research Statistical Inference
Regression Models Practical Machine Learning Developing Data Products
Data Science Capstone: Developed WhatsNext, a next word prediction app. Written in R and trained on three large text files containing samples from news, blogs and twitter as training data, this app predicts the next word of a partial sentence, offering auto suggestions to make typing easier on mobile devices.