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
The Data Scientist's Toolbox
For Rs. 2098
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Map your Career
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Map your Career
Not sure which job profiles this course will open for you? Check out our AI based tool to get a complete personalized career map.
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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