Back to Data Science Math Skills

stars

9,333 ratings

•

2,118 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!...

VS

Sep 22, 2020

This course syllabus is great. It starts wonderfully. Week 1 to 4 is taught by Paul Bendich, and Daniel Egger the instruction is awesome. Effective way to refresh and add the Data Science math skills!

AS

Jan 11, 2019

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 Anubhav R

•Apr 4, 2020

All it was good! Probability was awesome assignments were not easy so I loved the week 4 section so much! Thanks, Coursera to help to upgrade my skill.

By Caroline C

•Sep 4, 2018

Great course, but the Bayes' Theorem bit could have been simplified a bit more and/or more examples could have been added in. Overall highly recommend.

By Calvin

•Dec 9, 2019

The course is refreshing my function and probability skills, as well as adding new knowledge that is Bayes inverse conditional probability. Thank you!

By Thamsanqa M

•Jul 30, 2020

This is an exceptional course. Im all the way in South Africa, Thank you for this great opportunity to finally challenge myself and improve my maths.

By Monish K

•Jul 16, 2020

My certificate is not real.Sign of teacher on certificate is past not by running hand.

file:///C:/Users/monish/Desktop/Coursera%20XV7WTXVA2VTJ.pdf

By Syeda I F

•Apr 24, 2020

Thank you for the course. It is good enough to regrow the passion of learning data science math and to go deep down in the path of machine learning.

By Vikas K M

•Jun 24, 2021

Its a basic course with calculus for data science/analysis but its very very important as its a base of analyzing the data and for any conclusion.

By Bahareh a

•Nov 9, 2020

Thank you that was very nice, especially in Algebra. I think just in part of "Probability", week four, it was a bit ambiguous. once again thanks.

By Pranav T V

•Sep 13, 2017

Very informative course explained in a very clear and understanding manner. Thanks a lot for the people involved in making this course a reality.

By Peter A

•Jun 4, 2021

Great refresher for statistics and probability. The teachers provide helpful and succinct resources and did well for preparing you for the tests.

By Michaela B

•May 11, 2021

It is a great course covering the basics of mathematics. Videos are very clear and quizzes allow students to repeat and practice their knowledge.

By Hikkaduwa L U M

•Feb 1, 2021

This course is very Helpful for those who have troubles with probability theorems basics. It's quiet supportive fundamental course for everyone.

By Yahya M

•Oct 12, 2020

Good course to test the basic math skills and the probability quiz is so hard and I loved it, please update the course content as per the quiz.

By Carlos E C G

•Jun 12, 2021

The content in video lectures is basic, doesn't cover examples to practice more, but quizzes are very helpful. I highly recommend this course.

By Julie K

•Jun 3, 2020

There are resources provided with this course, that made remembering old calculus lessons and university courses a breeze! I highly recommend!

By Nisha P

•May 22, 2020

This is very amezing course for data science student . if you want professtion data science in your company then first clear u r mathemathics.

By Pablo A U A

•Jan 6, 2021

Excellent course!

Maybe it will be nice if you could explain a little better the statistics part, it was hard to understand Bayesian Theorem.

By Juan V

•Jul 17, 2020

Good course. I wish there cover calculus topics like integrals but otherwise covers most of the topics that you need to know to data science.

By Aftab A

•Mar 20, 2019

This course is really helpful to data science student.I was very weak in probability and statistics but this course really polish my skills.

By Sanket G

•Apr 29, 2020

Its nice and quite harder than I thought..........

but I really enjoyed this course and their contents thanks for teaching

wish you Good Day

By Abraham E C

•May 4, 2020

I enjoyed the videos the most. The examples were quite simple and well structured, easy to manage and understand without additional notes.

By Abhisek s

•May 1, 2020

Course was designed in very lucid and effective manner. My only suggestion is to explain probability part in little slow and detail manner

By Enes S

•Sep 3, 2020

At first, I thought there is no need for me to take this course but at the end it was very useful for me. Especially the statistics part.

By Megala j

•Jun 5, 2020

Classes were beautifully structured. Only the final Bayes' theorem could have been more elaborate with more live examples. Need solutions

By vivek m

•Feb 5, 2017

Basic math course help to get revise all the high school concept. Even those who haven't any background on mathematics can get it easily.

- Google Data Analyst
- Google Project Management
- Google UX Design
- Google IT Support
- IBM Data Science
- IBM Data Analyst
- IBM Data Analytics with Excel and R
- IBM Cybersecurity Analyst
- Facebook Social Media Marketing
- IBM Full Stack Cloud Developer
- Salesforce Sales Development Representative
- Salesforce Sales Operations
- Soporte de Tecnologías de la Información de Google
- Certificado profesional de Suporte em TI do Google
- Google IT Automation with Python
- DeepLearning.AI Tensorflow
- Popular Cybersecurity Certifications
- Popular SQL Certifications
- Popular IT Certifications
- See all certificates

- Skills for Data Science Teams
- Data Driven Decision Making
- Software Engineering Skills
- Soft Skills for Engineering Teams
- Management Skills
- Marketing Skills
- Skills for Sales Teams
- Product Manager Skills
- Skills for Finance
- Android Development Projects
- TensorFlow and Keras Projects
- Python for Everybody
- Deep Learning
- Excel Skills for Business
- Business Foundations
- Machine Learning
- AWS Fundamentals
- Data Engineering Foundations
- Data Analyst Skills
- Skills for UX Designers

- MasterTrack® Certificates
- Professional Certificates
- University Certificates
- MBA & Business Degrees
- Data Science Degrees
- Computer Science Degrees
- Data Analytics Degrees
- Public Health Degrees
- Social Sciences Degrees
- Management Degrees
- Degrees from Top European Universities
- Master's Degrees
- Bachelor's Degrees
- Degrees with a Performance Pathway
- Bsc Courses
- What is a Bachelor's Degree?
- How Long Does a Master's Degree Take?
- Is an Online MBA Worth It?
- 7 Ways to Pay for Graduate School
- See all degrees