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In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course provides an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a hands-on introduction to the tools that will be used in the program, such as version control, markdown, git, GitHub, R, and RStudio.
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Coursera offers courses from over 200 leading universities and companies to deliver online learning around the world. With a Coursera Plus subscription, you get unlimited access to over 90% of all courses, and the most popular professional certificates and specializations on Coursera.
Data science, business and personal development. You can enroll in multiple courses at once, earn unlimited certificates, and learn in-demand job skills to start, grow, and even change careers.
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Associate Professor, Biostatistics
Bloomberg School of Public Health
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