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This online course teaches how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow and more.

This course covers relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against one`s requirements. Cloud computing, SQL and...

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

In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and...

This online course introduces learners to the science of business analytics with applications in a marketing context.

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

This course is an introduction to least squares from a linear algebraic and mathematical perspective.

This course gives a broad overview of the field of graph analytics to learn new ways to model, store, retrieve and analyze graph-structured data.

This series of online courses gives an introduction to Data Analysis using the Python programming language.

This online course series gives a practical introduction to data mining using the Weka workbench.

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

This online course teaches data visualization through Tableau 10 and how to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

This online course gives an initial introduction to data science and use of the MATLAB software.

This course will teach its students how to start from scratch in answering questions about the real world using data. The model building process involves setting up ways of...

This MOOC includes basic Excel functions as well as topics like using pivot tables, charts and graphs.

This online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...

This online course teaches how to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

This online course focuses on facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to...

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course...

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