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Data Science Math Skills

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almos...
4.5
4.5/5
(9,404 reviews)
274,255 students
Created by

9.0

CourseMarks Score®

N/A

Freshness

N/A

Feedback

8.8

Content

Platform: Coursera
Video: 5h 0m
Language: English

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Detailed Analysis

CourseMarks Score®

9.0 / 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Course content can become outdated quite quickly.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

We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

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Content Score

8.8 / 10
Video Score: 8.3 / 10
The course includes 5h 0m 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: 8.2 / 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:

16 articles.
0 resource.
0 exercise.
14 tests or quizzes.

Table of contents

Description

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.

Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material.

Topics include:
~Set theory, including Venn diagrams
~Properties of the real number line
~Interval notation and algebra with inequalities
~Uses for summation and Sigma notation
~Math on the Cartesian (x,y) plane, slope and distance formulas
~Graphing and describing functions and their inverses on the x-y plane,
~The concept of instantaneous rate of change and tangent lines to a curve
~Exponents, logarithms, and the natural log function.
~Probability theory, including Bayes’ theorem.

While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, “Mastering Data Analysis in Excel,” which is part of the Excel to MySQL Data Science Specialization. Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in “Mastering Data Analysis in Excel.”

Good luck and we hope you enjoy the course!

You will learn

Requirements

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Math and Logic knowledge.

This course is for

This course is suitable for beginners.

How much does the Data Science Math Skills 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 Data Science Math Skills 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 Daniel Egger a SCAM or a TRUSTED instructor?

Daniel Egger has created 8 courses that got 2,438 reviews which are generally positive. Daniel Egger has taught 870894 students and received a 4.47 average review out of 2,438 reviews. Depending on the information available, Daniel Egger is a TRUSTED instructor.
Pratt School of Engineering, Duke University
Duke University
Daniel Egger has more than seventeen years experience creating new software products and services, as founder and CEO of a series of venture-backed information technology companies, and as Managing Partner in a venture capital fund. Egger is Executive in Residence in Duke University’s Master of Engineering Management Program and has taught courses in entrepreneurship and venture capital at Duke since 2003. He was formerly the Howard Johnson Foundation Entrepreneur-in-Residence in Duke’s Markets and Management Program for undergraduates.

9.0

CourseMarks Score®

N/A

Freshness

N/A

Feedback

8.8

Content

Platform: Coursera
Video: 5h 0m
Language: English

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