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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 online course program gives an introduction to data analysis. It includes working with a variety of data sources, project scenarios, and data analysis tools, including...

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...

This online course shows more than 15 hands-on examples of analyzing large data sets with Apache Spark.

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 online course series prepares learners to use the IBM AI Enterprise Workflow that enables data scientists to build AI solutions, starting with business priorities and...

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

This course is an introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization...

This online course teaches GRU, LSTM, and more modern deep learning, machine learning, and data science skills. Most of the work will be done in Numpy, Matplotlib, and Theano.

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

This course discusses following questions: What’s the “hype” surrounding the Big Data phenomenon? Who are these mysterious data scientists everyone is talking about? What kinds...

This online course program provides an introduction to topics in single and multivariable calculus, and focuses on using calculus to address questions in the natural and social...

This online course gives an introduction to data analysis. It includes basic concepts such as the data ecosystem and the fundamentals of data analysis.

This online course series explores the fundamentals of data structures and algorithms with a focus on data science applications. It is designed for learners who are interested...

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 teaches intermediate and advanced statistical modeling techniques for data science. In particular, learners will become proficient in the theory and...

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

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 explores algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.