Back to Data Science Math Skills

stars

9,071 ratings

•

2,051 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!

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 Juan C D

•Jun 10, 2020

Take this course as a review but not to learn the data science skills needed

By Josef B

•Nov 16, 2020

first half of course explained very well; not so for second half of course.

By G T

•Mar 1, 2017

The material is very useful, however, the second teacher is not the best...

By Gaurab R P

•Sep 6, 2020

Week 4 is poorly designed. Concepts are not clear. Please redesign it.

By abid g

•Sep 8, 2020

Course lacks many details especially differentiation and integration

By Surya P

•Jan 28, 2021

Very basic course. Need some more challenging and advanced theory.

By Moin u

•May 10, 2020

The course topics were good. But the video lectures were not good.

By abinaya R

•May 7, 2020

probability was not taken properly and many portions are missing

By Federico V

•Jan 26, 2018

It is more of an "appetizer" than a whole self-contained "meal".

By BOUDOUAYA F Z

•Jul 29, 2020

is a good class but is hard for me I will try again but not now

By Ochilbek R

•May 7, 2020

The probability part (Week 4) was disastrous. But rest is okay.

By Mark L I

•Jul 1, 2020

The last section is much harder than the previous sections.

By Sailesh V

•Apr 17, 2020

it required more content for data science mathematics

By Do B D

•May 30, 2017

The contents were ok, but the videos were a bit boring

By Rafael B

•Feb 24, 2018

Lost if it is a basic or a intermediate level course.

By Nathaniel L

•Dec 27, 2017

The materials could be more advanced for data science

By Marco A

•May 1, 2020

This require more practical refernce to data science

By Muhammad Z I N

•Jun 5, 2020

The probability part explanation is very confusing.

By Ashish p b

•Jun 30, 2020

Instructor was not so good but questions are tough

By Bola T

•Jun 2, 2017

last week is not good at all i didn't get it all

By Piyush G

•Sep 13, 2018

Probability concepts could be more descriptive.

By Pavel S

•Mar 31, 2020

I think some basic statistics should be added

By SHOURYA Y

•Mar 9, 2021

The videos were a bit tough to understand.

By LATIFF E

•Jan 23, 2021

The teaching does not feel very intuitive.

By Ruben L

•Jun 19, 2020

La parte de probabilidad no esta muy clara

- 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

- 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