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

In this course, students will learn exciting concepts and skills for designing data warehouses and creating data integration workflows.

This course provides the foundation needed for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for...

This online course gives an introduction to data science for managers. Participants analyze business data with Microsoft Azure through the use of SQL, machine learning, and...

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

This course covers how to program in R and how to use R for effective data analysis. Students will learn how to install and configure software necessary for a statistical...

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 gives an introduction to linear algebra, which is used in applications such as statistics and data science.

In this computer science course, participants will learn the basics of programming in the Java language. This course will cover repetition statements (for, while, do-while and...

This course teaches how to manage, describe, summarize and visualize data. Students will choose a research question based on available data and engage in the early decisions...

This online Java course provides with a strong understanding of basic Java programming elements and data abstraction using problem representation and the object-oriented...

This course is an introduction to probabilistic models, including random processes and the basic elements of statistical inference.

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 gives an introduction to computational social science, including its fundamental concepts and key applications.

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

This MOOC teaches about probability distribution models, including normal distribution, and continuous random variables to prepare participants for a career in information and...

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.