Free data science courses online

    • [PDF File]DATA SCIENCE

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      DEFINITIONS • “It’s what a data-scientist does.” – circular • “Machine learning/data mining/statistics.” – too narrow • “Collecting, manipulating, and analysing data in order to extracting value from it.” • Wikipedia: “Data Science is the extraction of knowledge from data, which is …

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    • [PDF File]DATA SCIENCE BOOTCAMP CURRICULUM

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      Data Science for Business: What You Need to Know about Data Mining and Data-analytic Thinking. ISBN 1449361323. 2013. Trevor Hastie, Robert Tibshirani and Jerome Friedman. Elements of Statistical Learning, Second Edition. ISBN 0387952845. 2009. (free online) Avrim Blum, John Hopcroft and Ravindran Kannan. Foundations of Data Science.

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    • [PDF File]FIND YOUR FUTURE IN DATA

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      CORE COURSES The Master of Science in Data Science is a 36-credit program. Students are required to take the following courses: DATA 500 Machine Learning Concepts I DATA 510 Data Wrangling DATA 515 Analytics for Decision-Making DATA 520 Introduction to Programming DATA 590 Machine Learning Concepts II INTL 501 Research Methods in Intelligence

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    • [PDF File]INTRODUCTION TO DATA SCIENCE - Brown University

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      Master of Science in Data Science. The degree’s online format is ideal for busy adults like you, who want to enter or advance in the data science field, but don’t have the time for on-campus courses. In this 12-course, 36-credit master’s program, you will learn the latest tools and analytical methods to

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    • [PDF File]DATA11001 INTRODUCTION TO DATA SCIENCE - Courses

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      The first eight weeks are spent learning the theory, skills, and tools of modern data science through iterative, project-centered skill acquisition. Over the course of four data science projects, we “train up” different key aspects of data science, and results from each project are added to the students’ portfolios.

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    • 6 Best free online Data Science courses- 2018

      Recommended Computer Science Courses ... Introduction to Data Science was originally developed by Prof. Tim Kraska. The course this year relies heavily on content he and his TAs developed last year and in prior offerings of the course. If I have seen further, it is by standing on the shoulders of giants.

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