Data Society is the most comprehensive online on-demand data science curriculum designed for professionals who need to solve problems quickly. Download reusable R code templates, reference guides, and cheat sheets, and learn how to apply powerful data science methods back into your work. All on a schedule that works for you.
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Data Society programs
| Programs | Cities | Duration | Cost |
|---|---|---|---|
| Program: Data Science for Leaders | Cities: Boston, Melbourne, New York, Remote, Washington DC | Duration: 2 weeks | Cost: $349 |
Data Society’s online offering for leaders provides comprehensive learning modules that students can take at their own pace. Students can watch instructional videos, complete quizzes for reinforcement, and map out data science strategies to solve problems in a data-driven way and manage data projects successfully. The program uses only real world case studies of managing a data science project or building the best data-driven strategy on a company-wide scale. Students will learn the how data science can be used to drive business objectives, which data science methods are most suited to solve their problem, and how to execute their data-driven plan to successfully build and run a data science team. |
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| Program: Data Science for Analysts Bootcamp | Cities: Boston, Melbourne, New York, Remote, Washington DC | Duration: 6 months | Cost: $349 lifetime / $149 per year |
Data Society’s online data science curriculum for analysts provides comprehensive learning modules that students can take at their own pace. Students can watch instructional videos, complete practical exercises, take assessments to earn a certificate, and build a portfolio of data science projects. The program uses only real world data sets and incorporates data cleaning in every module in order to give students a real world experience of executing a data science project or building a predictive model from end-to-end. Students learn not only the theory behind the methods and how to program them in R, they also learn how the algorithms work, why they work and in which situations to apply them. |
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