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This online course series gives an introduction to the key skills needed for data science, including probability and statistics, data analysis, and machine learning. Students...

This course covers data architecture skills that are increasingly critical across a broad range of technology fields. Students will learn the basics of structured data modeling,...

This online course program shows how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.

This course takes students from data novice to data analyst in just four project-based courses. They will learn to apply basic data science tools and techniques, including data...

This online course program explores how current technologies are changing industry and how to create a strategy to transform a business. It also covers the three technologies...

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 online course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.

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

This online course gives an introduction to programming using the language "R", a popular language for statistical computing and graphics in data science and other domains.

This online course program explores the fundamentals of data science. The courses include topics such as data science tools and methods, SQL and Python, and machine learning...

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...

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 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...