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This online course series gives an introduction to data science for beginners, including open source tools like Jupyter Notebooks, RStudio IDE, Apache Zeppelin, and OpenRefine.

This course discusses the basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.

Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to...

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

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from...

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...

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

Through this course, students learn how to go through the entire data analysis process.

This online course gives an introduction to the fundamentals of SQL and teaches how to work with data. No prior SQL experience needed.

This online course focuses on writing good code for data science. This course covers the primary means by which R software is organized and distributed.

This course teaches how to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from...

This online course series gives an introduction to programming in Python for data science, including data analysis and visualization.

This online course bridges accountancy to analytics. It is designed to help accounting students develop an analytical mindset and prepare them to use tools and programming...

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 short online course gives an overview of open source tools for data science, such as Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience.

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 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 gives an introduction to least squares from a linear algebraic and mathematical perspective. The course is for students who already have had a class in...

This class will cover an introduction to command line tools for managing genomic data. It will start with basic Unix commands for managing files and directories, followed by a...

This course teaches the general concepts of data mining along with basic methodologies and applications. Then dives into one subfield in data mining: pattern discovery. It...