Checklist

Certification

You will get a certificate on completing this course.

University

The course is from one of the top universities of the world - Johns Hopkins University.

Price

This course costs very less.

Difficulty

76% of the students have found this course easy.

Content

76% of the students have liked the content of this course.

Assignments

68% of the students have liked the assignments of this course.

Teaching

82% of the students have liked how the instructor has taught this course.

Satisfaction

84% of the students are overall satisfied with this course.

Edvicer's Rewards

You can get a cashback of ₹ 100 on buying this course.

The Data Scientist's Toolbox

FREE (Audit)
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8 hours
English
Johns Hopkins University
Course by
CourseraCourses from Coursera
Certificate awarded
For Rs. 2098
Mixed
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Checklist

Certification

You will get a certificate on completing this course.

University

The course is from one of the top universities of the world - Johns Hopkins University.

Price

This course costs very less.

Difficulty

76% of the students have found this course easy.

Content

76% of the students have liked the content of this course.

Assignments

68% of the students have liked the assignments of this course.

Teaching

82% of the students have liked how the instructor has taught this course.

Satisfaction

84% of the students are overall satisfied with this course.

Edvicer's Rewards

You can get a cashback of ₹ 100 on buying this course.

Why should you choose this course?

Description

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.

Syllabus

Data Science Fundamentals
R and RStudio
Version Control and GitHub
R Markdown, Scientific Thinking, and Big Data

What others say about this course

Reviews from Coursera

!!!STOP DON'T TAKE THIS COURSE!!!%100 pure advertising. There is a moment I felt like I learned some thing, but rest of the course I played with x2.0, of there was more I would have get it. Putting thi  Read More ...

This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.

Not met what offered. I really don't know why but Instructor was in a hurry and like, he was in the position of instructor by obligation. Maybe, He has knowledge of the subject, but definitely does not  Read More ...

Basic introduction for the specialization, principles of data science, and installing stuff, it's fine to get started but could get hands dirty with R more quickly. Overall the plethora of 4-5 star re  Read More ...

This should not be a course. It's just introduction and should be condensed to one video and a handout with pointers to those who need more specific and detailed instructions for setting up their compu  Read More ...

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