Ten Top MOOCs in Data Science starting in July 2017

[Carolyn]

Ten Top MOOCs in Data Science starting in July 2017

Employers are struggling to recruit enough qualified workers with skills in data science and analytics to meet demand with an estimated 2.72 million new job postings in 2020, according to an analysis from Burning Glass.

The Data Scientist’s Toolbox
The course gives an overview of the data, questions, and tools that data analysts and data scientists work with.
By Johns Hopkins University via Coursera
Started June 26th
Course 1 of 10 in the Data Science Specialization

Introduction to Probability and Data
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule.
By Duke University via Coursera
Starts July 3rd
Course 1 of 5 in the Statistics with R Specialization

Introduction to Big Data
This course is for those new to data science and interested in understanding why the Big Data Era has come to be.
By The University of California, San Diego via Coursera
Started June 26th
Course 1 of 6 in the Big Data Specialization.

Algorithmic Toolbox
The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming.
By The University of California, San Diego, Higher School of Economics via Coursera
Started June 26th
Course 1 of 6 in the Data Structures and Algorithms Specialization.

Business Metrics for Data-Driven Companies
In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable.
By Duke University via Coursera
Started June 26th
Course 1 of 5 in the Excel to MySQL: Analytic Techniques for Business Specialization.

Python for Data Science
Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.
By UC San Diego via edX
Self-paced
This course is part of a MicroMasters program on Data Science

Programming for Data Science
Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.
By The University of Adelaide via edX
Self-paced
This course is part of a MicroMasters program on Big Data

Analyzing Big Data with Microsoft R Server
Learn how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages.
By Microsoft via edX
Starts July 1st

Principles of Machine Learning
Get hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning.
By Microsoft via edX
Starts July 1st

High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data.
By Harvard University via edX
Starts July 1st