Back to Data Science Math Skills

4.5

stars

8,683 ratings

•

1,966 reviews

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!...

RS

May 5, 2020

This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material.\n\nThank you for a great class!!

VC

May 16, 2020

Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)

Filter by:

By Catherine B

•Aug 18, 2020

The Probability class (week 4) is difficult, maybe more examples should be explained during class.

By Rakesh K

•Jul 18, 2020

Wish it was faster and some of the earlier topics were too basic. Overall, it was a decent course.

By Ravi S

•Apr 21, 2020

Great Subject for the Data Science Students which cover most of the topic related to the subjects.

By 冯乔俊

•Jan 24, 2017

Suitable for high school students. For a University student it can be easily finished in 1-2 days.

By K B S P

•Jul 14, 2020

An effective and interactive course to start with the basics of data science math-related topics.

By Kochenkova K E

•Jun 20, 2020

The course was pretty easy except for the last week. The teacher of the first 2 weeks was better.

By Yuanzhi Z

•May 6, 2020

The course is very relaxed and very quick to sort out the mathematical knowledge of data science.

By Vaidhyanathan S M

•May 5, 2020

The Course was really good to refresh the math concepts needed from a data science point of view.

By Vipin V

•May 1, 2020

Great lectures, the quizzes were extremely helpful in judging my understanding towards the topics

By Annie J

•Jul 26, 2020

It was exactly helpful.Coursera gave me a proper understanding of sets, probability and graphs.

By SUNIL P

•Jun 22, 2020

Probability concepts could be made easier and simpler to understand with more and more examples.

By Raja R K

•Aug 4, 2017

Good course, to really brush up basic Math. It would be worth to go bit deeper into derivatives.

By Ayush S

•Apr 9, 2020

Good course to learn the basics but the explanation of Probability part should have been better

By Bob S

•Sep 14, 2019

A pretty good course, though the second half wasn't explained as intuitively as the first half.

By Luke E

•Jul 5, 2017

Really great for the algebra. Statistics was harder and needed more reading around the subject

By Veethika G

•Apr 17, 2020

It's very good and if you're beginning your career in data science, this course, it's for you.

By Mireya C O P

•Jul 26, 2020

Un buen curso para las bases. Lastima la baja de calidad del contenido para la ultima semana.

By BARGHOUTHE M

•Jun 12, 2020

c'est très intéressant.

Merci infiniment coursera pour la qualité du cours que vous présentez.

By Arihant J

•Jun 5, 2020

Good Course. Can be Extended with more lessons and a little more depth in the topics chosen..

By Md S B S

•May 6, 2017

it is a good course for beginner.Most of the lectures are informative and easy to understand.

By Marc P

•Mar 9, 2019

Good intro or refresher, but needs more concrete examples in the probability theory section.

By Sanu M

•Sep 3, 2017

Very helpful course for those who want to pursue their career in Data science and Analytics.

By PEYYALA J A U

•Aug 18, 2020

thank you for teaching me and coursera has a good material and i like the way how hey teach

By Yafeng S

•Jan 8, 2019

A very basic introduction of math. You can use this course to recap the relative knowledges

By ÖMER F Ö

•Mar 6, 2018

The course is short. It had better if you design a Data Science Math Skills specialization.

- Finding Purpose & Meaning in Life
- Understanding Medical Research
- Japanese for Beginners
- Introduction to Cloud Computing
- Foundations of Mindfulness
- Fundamentals of Finance
- Machine Learning
- Machine Learning Using Sas Viya
- The Science of Well Being
- Covid-19 Contact Tracing
- AI for Everyone
- Financial Markets
- Introduction to Psychology
- Getting Started with AWS
- International Marketing
- C++
- Predictive Analytics & Data Mining
- UCSD Learning How to Learn
- Michigan Programming for Everybody
- JHU R Programming
- Google CBRS CPI Training

- Natural Language Processing (NLP)
- AI for Medicine
- Good with Words: Writing & Editing
- Infections Disease Modeling
- The Pronounciation of American English
- Software Testing Automation
- Deep Learning
- Python for Everybody
- Data Science
- Business Foundations
- Excel Skills for Business
- Data Science with Python
- Finance for Everyone
- Communication Skills for Engineers
- Sales Training
- Career Brand Management
- Wharton Business Analytics
- Penn Positive Psychology
- Washington Machine Learning
- CalArts Graphic Design

- Professional Certificates
- MasterTrack Certificates
- Google IT Support
- IBM Data Science
- Google Cloud Data Engineering
- IBM Applied AI
- Google Cloud Architecture
- IBM Cybersecurity Analyst
- Google IT Automation with Python
- IBM z/OS Mainframe Practitioner
- UCI Applied Project Management
- Instructional Design Certificate
- Construction Engineering and Management Certificate
- Big Data Certificate
- Machine Learning for Analytics Certificate
- Innovation Management & Entrepreneurship Certificate
- Sustainabaility and Development Certificate
- Social Work Certificate
- AI and Machine Learning Certificate
- Spatial Data Analysis and Visualization Certificate

- Computer Science Degrees
- Business Degrees
- Public Health Degrees
- Data Science Degrees
- Bachelor's Degrees
- Bachelor of Computer Science
- MS Electrical Engineering
- Bachelor Completion Degree
- MS Management
- MS Computer Science
- MPH
- Accounting Master's Degree
- MCIT
- MBA Online
- Master of Applied Data Science
- Global MBA
- Master's of Innovation & Entrepreneurship
- MCS Data Science
- Master's in Computer Science
- Master's in Public Health