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The Data Scientist’s Toolbox

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,...
4.6
4.6/5
(31,903 reviews)
633,858 students
Created by

8.7

CourseMarks Score®

N/A

Freshness

8.5

Feedback

8.5

Content

Platform: Coursera
Price: $0
Video: 2h 16m
Language: English

Top Data Analysis courses:

Detailed Analysis

CourseMarks Score®

8.7 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

8.5 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

8.5 / 10
Video Score: 7.9 / 10
The course includes 2h 16m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 7.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
0 resource.
0 exercise.
5 tests or quizzes.

Table of contents

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.

You will learn

Requirements

The course creator has not defined the requirements for this course.

This course is for

The course creator hasn’t defined the level of this course.

How much does the The Data Scientist’s Toolbox course cost? Is it worth it?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.

Does the The Data Scientist’s Toolbox course have a money back guarantee or refund policy?

Coursera offers a 7-day free trial for subscribers.

Are there any SCHOLARSHIPS for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who is the instructor? Is Jeff Leek, PhD a SCAM or a TRUSTED instructor?

Jeff Leek, PhD has created 28 courses that got 4,009 reviews which are generally positive. Jeff Leek, PhD has taught 1361630 students and received a 4.49 average review out of 4,009 reviews. Depending on the information available, Jeff Leek, PhD is a TRUSTED instructor.
Bloomberg School of Public Health
Johns Hopkins University
Jeff Leek
is an Assistant Professor of
Biostatistics
at the
Johns Hopkins Bloomberg School of Public Health
and co-editor of the
Simply Statistics
Blog. He received his Ph.D. in Biostatistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome Biology, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for Biostatistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.

8.7

CourseMarks Score®

N/A

Freshness

8.5

Feedback

8.5

Content

Platform: Coursera
Price: $0
Video: 2h 16m
Language: English

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