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Introduction to Data Science

Introduction to Data Science. Introduction to Data Science: BIO 260 and CSCI E107. Lectures are 8:30-10:20am on Mondays and Wednesdays in Kresge G2 in the Longwood campus. We will be using R for all programming assignments and projects. Rafael Irizarry, Biostatistics, HSPH. Stephanie Hicks, Biostatistics, HSPH. 2016 Harvard T.H. Chan School of Public Health.

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Introduction to Data Science. Introduction to Data Science: BIO 260 and CSCI E107. Lectures are 8:30-10:20am on Mondays and Wednesdays in Kresge G2 in the Longwood campus. We will be using R for all programming assignments and projects. Rafael Irizarry, Biostatistics, HSPH. Stephanie Hicks, Biostatistics, HSPH. 2016 Harvard T.H. Chan School of Public Health.
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Introduction to Data Science | datasciencelabs.github.io Reviews

https://datasciencelabs.github.io

Introduction to Data Science. Introduction to Data Science: BIO 260 and CSCI E107. Lectures are 8:30-10:20am on Mondays and Wednesdays in Kresge G2 in the Longwood campus. We will be using R for all programming assignments and projects. Rafael Irizarry, Biostatistics, HSPH. Stephanie Hicks, Biostatistics, HSPH. 2016 Harvard T.H. Chan School of Public Health.

INTERNAL PAGES

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1

Homework

http://datasciencelabs.github.io/pages/homework.html

Introduction to Data Science. 2016 Harvard T.H. Chan School of Public Health.

2

Resources

http://datasciencelabs.github.io/pages/resources.html

Introduction to Data Science. City graduation and expenditures.csv. Reading scores by year.csv. Total us expenditure by year.csv. 2016 Harvard T.H. Chan School of Public Health.

3

Syllabus

http://datasciencelabs.github.io/pages/syllabus.html

Introduction to Data Science. Why take this course? What is the structure of this course? We will learn these concepts through six data analysis projects. Grades will be based on:. 1 final project (35%). Participation in discussions (5%). Must have basic programming knowledge, and statistics knowledge at the level of Stat 100 or above. None Instead, we have a list of recommended readings on the web site. This is a TENTATIVE. Schedule for the course. 2016 Harvard T.H. Chan School of Public Health.

4

Lectures

http://datasciencelabs.github.io/pages/lectures.html

Introduction to Data Science. Below you’ll find a list of links to lecture videos and code as well as links to Google Docs for in class (and Homework) questions. 2016 Harvard T.H. Chan School of Public Health.

5

Final Projects

http://datasciencelabs.github.io/pages/projects.html

Introduction to Data Science. For your final assignment in this course you will work on a month-long data science project. The goal of the project is to go through the complete data science process to answer questions you have about some topic of your own choosing. You will acquire the data, design your visualizations, run statistical analysis, and communicate the results. You will work closely with other classmates in a team. Friday, April 8 by 11:59pm (EST). Week of April 11-17. Wednesday, May 11.

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Introduction to Data Science

Introduction to Data Science. Introduction to Data Science: BIO 260 and CSCI E107. Lectures are 8:30-10:20am on Mondays and Wednesdays in Kresge G2 in the Longwood campus. We will be using R for all programming assignments and projects. Rafael Irizarry, Biostatistics, HSPH. Stephanie Hicks, Biostatistics, HSPH. 2016 Harvard T.H. Chan School of Public Health.

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