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This online course (MOOC) is designed to teach learners the basic math they will need in order to master any data science math course. It was created for learners who have basic...

This online course is the first step of the Clinical Data Science Specialization. The course will teach learners how data is gathered, how data is formed, as well as basic SQL...

This course covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in...

This series of MOOCs covers R software development for building data science tools. It helps participants to learn modern software development practices to build tools that are...

This online course explores how the games industry can use big data to enhance the gaming experience and increase profits.

This online course teaches how to apply computational thinking in data science.

This course focuses on exploring data to make students understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that...

This online course gives an introduction to data science. It explores one of the most internationally-recognized processes for solving data-science problems.

This online course teaches how to use Spark with Python for Big Data analysis.

This course covers the essential exploratory techniques for summarizing data. It will cover in detail the plotting systems in R as well as some of the basic principles of...

This online course program gives an introduction to key data science essentials through real-world case studies. It includes courses on the R programming language, data...

This online course gives an introduction to Excel for data analysis. It includes cleaning and preparing data, automating data analysis, and transforming, linking, and...

This online course program shows how to build real-time applications to process big data at scale. It includes modern data engineering tools, such as Apache Spark, Kafka, Spark...

This online course teaches how to to create machine learning algorithms in Python and R.

In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

This online course teaches data science techniques for professionals and students - learn the theory behind logistic regression and code in Python.

This MOOC gives an introduction to Python and includes data analysis techniques.

This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a...

This online course explores Spark and Scala for Big Data applications, including Spark 2.0 DataFrames.

This course teaches how to transform information from a format efficient for computation into a format efficient for human perception, cognition, and communication and explores...