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This online course teaches to move beyond the chatter and opinion surrounding parenting and learn about the scientific findings and data that can help you make sensible,...
This online course teaches more than 20 hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop.
This online course helps to learn the foundations of probability and statistics.
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 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...
In this courses, students will learn what they need to know to begin assembling and leading a data science enterprise. It provides a crash course in data science to become...
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.
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...
In this course, students will learn exciting concepts and skills for designing data warehouses and creating data integration workflows.
This online course introduces learners to the science of business analytics with applications in a marketing context.
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 online course explores probabilistic models, including random processes and the basic elements of statistical inference.
This online course teaches Tableau 10 in data science by solving real-life analytics problems at an expert level.
This online course shows more than 15 hands-on examples of analyzing large data sets with Apache Spark.
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 course will introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME and...
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 explores how to build and incorporate ethical frameworks in AI and Big Data technology and business initiatives to add transparency, build trust, and drive...
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 step by step through real analytics examples. It includes data mining, modeling, data visualization, and more.
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