1 Motivation
Motivation quiz
1 attempt allowed
2 RStudio and Projects
RStudio and Projects quiz
1 attempt allowed
3 Setting Up Data Science Project Folders
Setting Up Data Science Project Folders quiz
1 attempt allowed
4 Creating and Previewing Markdown Files in RStudio
Creating and Previewing Markdown Files in RStudio quiz
1 attempt allowed
5 Introduction to Markdown
Introduction to Markdown quiz
1 attempt allowed
6 Managing Files in the Terminal
Managing Files in the Terminal quiz
1 attempt allowed
7 Managing Files in R
Managing Files in R quiz
1 attempt allowed
8 Using Paths in Code
Using Paths in Code quiz
1 attempt allowed
9 How to Work
How to Work quiz
1 attempt allowed
10 References
About this Course
About the Authors
Retired
This course is no longer available for purchase.
Organizing Data Science Projects
Organizing Data Science Projects
How to set up, manage, and organize data science projects
How to set up, manage, and organize data science projects
548Readers
About
About the Course
Description
Data science is one of the most exciting and fastest growing careers in the world. The goal of this series is to help people with no background and limited resources transition into data science. It would be helpful to have already taken our Introduction and Google and the Cloud courses. We guide you through the rest!
Learning objectives
After taking this course you will be able to:
- Create projects on RStudio Cloud
- Set up the file structure you will use for data science projects
- Name files for data science projects
- Navigate files in the Terminal and in R on RStudio Cloud
Things you need to do this course
This course is designed for people with no background with Chromebooks and no background in data science. So it is a great introduction for high-school students or people looking for a career change into the tech industry. The only requirements are:
- A computer with a web browser and an internet connection
- The ability to type and follow instructions.
How you will be graded
The course has a series of short quizzes, one for each chapter. You will get two attempts at each quiz and your best score for each quiz will count toward your final score. If you receive more than 70% of the points across all quizzes you will pass. If you receive more than 90% of the points across all quizzes you will pass with honors. You get two attempts at the class with each class purchase.
How to report an error
If you find a bug, typo, or issue in the material, feel free to contact us using this form.
Instructors
About the Instructors
Jeffrey Leek
Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.
Episode 19
An Interview with Jeffrey Leek
Aboozar Hadavand
Aboozar Hadavand is a postdoctoral fellow at Johns Hopkins Bloomberg School of Public Health. His current research involves analyzing MOOC data. He has previously taught at Barnard College (Columbia University), Brooklyn College, and Yeshiva University.
Leslie Myint
Leslie obtained her PhD in biostatistics from the Johns Hopkins Bloomberg School of Public Health and is currently an Assistant Professor in the Department of Mathematics, Statistics, and Computer Science at Macalester College.
Leah Jager
Leah Jager is an Assistant Scientist of Biostatistics at Johns Hopkins Bloomberg School of Public Health, where she teaches biostatistics to students interested in public health.
Shannon Ellis
Shannon Ellis is an Associate Teaching Professor in the Cognitive Science Department at UC San Diego.
Davon Person
Material
Course Material
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