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.
oferecido por
Informações sobre o curso
Resultados de carreira do aprendiz
12%
O que você vai aprender
Set up R, R-Studio, Github and other useful tools
Understand the data, problems, and tools that data analysts use
Explain essential study design concepts
Create a Github repository
Habilidades que você terá
- Data Science
- Github
- R Programming
- Rstudio
Resultados de carreira do aprendiz
12%
oferecido por

Universidade Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Programa - O que você aprenderá com este curso
Data Science Fundamentals
In this module, we'll introduce and define data science and data itself. We'll also go over some of the resources that data scientists use to get help when they're stuck.
R and RStudio
In this module, we'll help you get up and running with both R and RStudio. Along the way, you'll learn some basics about both and why data scientists use them.
Version Control and GitHub
During this module, you'll learn about version control and why it's so important to data scientists. You'll also learn how to use Git and GitHub to manage version control in data science projects.
R Markdown, Scientific Thinking, and Big Data
During this final module, you'll learn to use R Markdown and get an introduction to three concepts that are incredibly important to every successful data scientist: asking good questions, experimental design, and big data.
Avaliações
- 5 stars69,40%
- 4 stars23,30%
- 3 stars5,29%
- 2 stars1,09%
- 1 star0,90%
Destaques
Principais avaliações do AS FERRAMENTAS DO CIENTISTA DE DADOS
It's a beginning to a host of different courses that are to be followed after this. It makes up a for a good platform to start off the work on R and how to use version control feature of R via GitHub.
Great course for a beginner. But, since I knew most of the content from previous works, there was not much new learning for me. I am confident the later courses will enhance my knowledge a great deal.
This course is very educative and easy to follow by anyone regardless of their previous knowledge in Data Science. I recommend this course to anyone who want to learn r programming and data science.
The course is great for beginners, especially with a focus on the fundamentals of data science and RStudio. It provides a great introduction to Git and Github, which makes it extremely informative.
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