Johns Hopkins University - The Data Scientist's Toolbox
4.2 /5- Offered byCoursera
- Public/Government Institute
The Data Scientist's Toolbox at Coursera Overview
Duration | 18 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
The Data Scientist's Toolbox at Coursera Highlights
- 34% started a new career after completing these courses.
- 32% got a tangible career benefit from this course.
- Earn a shareable certificate upon completion.
The Data Scientist's Toolbox at Coursera Course details
- In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
The Data Scientist's Toolbox at Coursera Curriculum
Data Science Fundamentals Why Automated Videos?
What is Data Science?
What is Data?
Getting Help The Data Science Process
Welcome
A Note of Explanation
What is Data Science?
What is Data?
Getting Help Quiz
Data Science Process
Module One Summative Quiz
R and RStudio
Installing R
Installing R Studio
RStudio Tour
R Packages
Projects in R
Installing R
Installing R Studio
RStudio Tour
R Packages
Projects in R
Module Two Summative Quiz
Version Control and GitHub
Version Control
Github and Git
Linking Github and R Studio
Projects under Version Control
Version Control
GitHub and Git
Linking Git/GitHub and RStudio
Projects under Version Control
Module Three Summative Quiz
R Markdown, Scientific Thinking, and Big Data
R Markdown
Types of Data Science Questions
Experimental Design
Big Data
R Markdown
Types of Data Science Questions
Experimental Design
Big Data
Module Four Summative Quiz
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