Back to Data Science Math Skills

stars

9,674 ratings

•

2,192 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!...

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)

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!!

Filter by:

By Roger V

•Jun 18, 2020

I expected more from the course, like better presentation (slides or something like that) and the first 3 weeks are much more basic than I expected

By Yonax L

•Jun 2, 2020

Quizzes are way more difficult and different than what was taught in the lecture videos and readings. (This apply the most to the last week module)

By Francisco G

•Sep 28, 2020

Explanations for last two modules are somewhat confusing. I had to consult other materials and read discussion forums in order to understand.

By Juan M T

•Aug 17, 2021

Extremely basic at start and then ramp up too fast. Videos of the 3rd and 4th week were poorly descriptive and add little or no concepts

By Stephanie M

•Jul 5, 2020

Modules 1-3 were great. But the 4th module on probability was not only very difficult but I finished the course still not understanding.

By Tony H

•Feb 7, 2019

The material covered was very useful for a beginner/intermediate course, however, the style of the presenters was not always very clear.

By Michael O

•Apr 22, 2021

First two weeks are excellent but the last two are difficult to follow with little assistance to make it easier to understand.

By Leon L

•Dec 12, 2017

it's the foundation for data science, but these contents are too simple. I think it's not enough for a good data analyst.

By Shah F B

•Jul 5, 2020

Statistics and probability part is a bit difficult to grasp.

Anything that can be done to make it easier would be great.

By phung s

•Mar 16, 2021

Probability and Function sections are too hard to understand

Exercise is sometimes so confused and seems wrong answers

By Martino V

•May 29, 2017

a good selection of topics, but way too formula based rather than understanding based, especially in the second half.

By Felix H

•Mar 30, 2020

Some of the quiz questions have mathematical errors (e.g. inside of a log cannot be negative) or are quite unclear.

By Comp_TY_11_Hunain K

•Sep 8, 2021

I THINK MATHS PROBLEMS SHOULD BE MORE . THERE WERE LESS PRACTISE PROBLEMS . HOPEFULLY YOU WILL GET TO KNOW THIS.

By Dipyaman G

•Jul 23, 2021

The final course on Probability can definitely be reworked upon. Otherwise, the entire module was pretty good.

By Manish G

•Sep 26, 2019

The last module could have been done better. More examples to be included for explaining probability problems.

By L J

•Aug 15, 2020

the first two weeks were brilliant, but I had a really hard time comprehending the 3rd and 4th week material.

By Paola G

•Aug 15, 2020

Thee explanation of week 4 was not comprehensive and the quizzes were too complicated for what was covered.

By Ammar E M

•Apr 14, 2020

I notice that the quizzes questions not reflect 100% to what we got already !, However, the course great

By shai z

•Jun 18, 2020

its ok, i felt the statistical part wasnt explained well, and went from pretty easy to hard too quickly

By Garvit r

•Jun 25, 2020

i am giving 3 star just because of professor efforts .Difficulty level of this course is not of level

By Ethan R

•May 12, 2021

Goes through the basics, but the last part with the most important information was not very helpful.

By Ali H

•Apr 27, 2020

Some points in probability was not clear and doesn't been explicit.

Some quiz answers are wrong.

By kavya

•Sep 23, 2020

I completed the Course but I didn't receive certificate..

Good to understand it's useful for us

By Zarmeen S

•Jul 11, 2020

The course should be improved from last topics with simple examples. It was good at the start.

- 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