Back to Data Science Math Skills

4.5

stars

8,323 ratings

•

1,881 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!

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 Alman G

•Aug 19, 2020

Really is through a provoking course, as how many ways to estimate

By Saurabh S

•Jul 15, 2020

Overall, a good course. Could do with some more detailing, though.

By N A S R

•Jun 16, 2020

this was nicely designed course,and made me re learn many concepts

By Tanmay S

•May 28, 2020

This is a great course to start with for Data Science Mathematics.

By BogdanC

•Nov 19, 2019

great course, would be great to have a follow-up with more content

By Kaung M W Y

•May 10, 2020

The quizzes are hard compared to the explanations in the videos.

By fulvio c

•Oct 24, 2019

It's a very intersting training in order to refresh your memory.

By Yiwen G

•Jul 28, 2017

A little bit easy if you have solid high school math background.

By DANGARWALA R K

•May 22, 2020

Good explanations and brief presentation of Important concepts.

By Navratan S

•May 12, 2020

I have enjoyed this course and learn about data science skills.

By Gina L

•Dec 17, 2017

the course overall was good -- the probability section was hard

By Andrea V

•Dec 11, 2017

Good introduction to a few concepts that permeate data science.

By Suresh T

•Apr 22, 2017

probability theory was a bit fast but otherwise it was awesome!

By Priyanka V K

•Sep 24, 2020

Very much understanding !! It's good....guys go and check out

By Rahul P

•Jul 26, 2020

Great course for basics math and introuduction to probablility

By Patrick C

•Jun 7, 2020

Insightful course. Would recommend to anyone within the field.

By gouraV S

•May 24, 2020

It's great pleasure to enjoy such course from respected sir's.

By Habibie A

•May 5, 2020

Well informed and structured sample case approach to real life

By Shashank S

•Jun 17, 2020

Good Course to understand the Maths behind Machine Learning.

By Maria

•Jun 10, 2020

Great course, but hard to understand without math background

By Parth R

•Apr 20, 2020

Last Week was bit confusing and not clear. Rest it was good.

By Animesh S

•Jun 16, 2017

Good Course. The probability section needs some improvement.

By vaibhav m

•Nov 3, 2020

probablity part could be explained more with more examples.

By Selvaganapathy

•Jun 28, 2020

very steep learning curve, but good info on lot of formulas

By Ahmed O B

•Feb 7, 2019

More exerciser required. Specially in probabilities theorem

- 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