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1. rafalab.dfci.harvard.edu › dsbookIntroduction to Data Science - Harvard University

   rafalab.dfci.harvard.edu › dsbook

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   This is the website for the first edition of Introduction to Data Science. This book is now out-of-date. We recommend using the second edition which is now divided into two parts: Data Wrangling and Visualization with R. Statistics and Prediction Algorithms Through Case Studies.

   • Preface for first edition

     This book started out as the class notes used in the...

   • Acknowledgments

     Acknowledgments - Introduction to Data Science - Harvard...

   • 1 Getting started with R and RStudio

     1 Getting started with R and RStudio - Introduction to Data...

   • 4 The tidyverse

     4 The tidyverse - Introduction to Data Science - Harvard...

   • 5 Importing data

     5.1 Paths and the working directory. The first step when...

   • 6 data.table

     6 data.table - Introduction to Data Science - Harvard...

   • 7 Introduction to data visualization

     7 Introduction to data visualization - Introduction to Data...

   • 8 ggplot2

     8 ggplot2 - Introduction to Data Science - Harvard...

2. pll.harvard.edu › subject › data-scienceData Science Courses | Harvard University

   pll.harvard.edu › subject › data-science

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   Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008. Browse the latest Data Science courses from Harvard University.

3. rafalab.dfci.harvard.edu › dsbook-part-2Introduction to Data Science - Harvard University

   rafalab.dfci.harvard.edu › dsbook-part-2

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   This is the website for the Statistics and Prediction Algorithms Through Case Studies part of Introduction to Data Science. The website for the Data Wrangling and Visualization with R is here. This book started out as part of the class notes used in the HarvardX Data Science Series 1.

4. scholar.harvard.edu › files › brucehuangCSCI S-101 Foundations of Data Science and Engineering

   scholar.harvard.edu › files › brucehuang

   26 lip 2021 · Demonstrate an understanding of how data science projects are approached. Manage data with database management systems and cloud infrastructure. Use advanced Python programming techniques to prepare and transform data. Apply preattentive attributes and visualization theory in storytelling with data.

5. harvard-iacs.github.io › 2021-CS109AHarvard CS109A | CS109a: Introduction to Data Science <br>

   harvard-iacs.github.io › 2021-CS109A

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   We will focus on the analysis of data to perform predictions using statistical and machine learning methods. Topics include data scraping, data management, data visualization, regression and classification methods, and deep neural networks.

6. seas.harvard.edu › masters-data-scienceMaster's in Data Science | Harvard SEAS - Harvard John A. Paulson...

   seas.harvard.edu › masters-data-science

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   The Data Science master's program, jointly led by the Computer Science and Statistics faculties, trains students in the rapidly growing field of data science. Data Science lies at the intersection of statistical methodology, computational science, and a wide range of application domains.

7. www.harvardonline.harvard.edu › course › data-science-principlesData Science Principles | Harvard Online Course

   www.harvardonline.harvard.edu › course › data-science-principles

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   Data Science Principles makes the fundamental topics in data science approachable and relevant by using real-world examples and prompts learners to think critically about applying these new understandings to their own workplace.