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!!

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)

筛选依据：

创建者 Sir P

•Nov 7, 2020

This course is really great! It helps me refresh my knowledge on basic math skills and have a further understanding of how to apply these concepts in real life scenario.

创建者 Nakshatra G

•Jan 15, 2021

It is a great course to get knowledge of some important and very basic mathematics used in machine learning. It is a well-taught course. The instructors are very good.

创建者 liqiang

•Feb 13, 2018

This should be my first most completed course on Coursera, although the last quiz overdue. Probability is hard to me, so I've learned a lot during this course, thanks!

创建者 Ana P P D

•Apr 27, 2020

It has really helped me understand a lot of mathematical principles, however i think the explanations of the first professor were more understandable and easy to get.

创建者 ANSARI A M Y

•Apr 24, 2020

its very nice , amazing course

i have cleared my many concepts

requesting you to explain few more examples on joint probability and based on probability topic.

thank you

创建者 SARATHKUMAR E

•Apr 15, 2020

Started from basic stuff but when things were getting interesting, the course got completed. Wish a few more topics should have been included in the probability topic

创建者 shivashish p

•Jun 27, 2020

It is a course that led me to understand these topics from basics although I had studied all this but here it gives another dimension to my understanding. Thank you!

创建者 Lasal J

•Oct 26, 2020

The lecturers were very clear when they explained the concepts and it was very easy to understand. Especially how the lecturer approached Bayes theorem was spot on.

创建者 Civan L K

•Sep 29, 2020

even though I have had some background before the course, I took this course as a refreshment and it definitely helped me a lot especially week4 with Bayes theorem.

创建者 Gaikwad M

•Apr 30, 2020

Very helpful and interesting. I truly loved this course and I believe this gonna help me in my upcoming future.. Thank you so much for such an adorable opportunity.

创建者 vani s

•May 24, 2019

Really Really very interesting from the beginning till the end. Instructor videos are excellent. Thank you so much and waiting for these kind of courses in future.

创建者 Sumit K

•Nov 17, 2020

Its one of the amazing course where i accomplished a great sense of Data Science with Maths.

Many Thanks to Duke University and Prof. Daniel Egger and Paul Bendich.

创建者 Swaviman K

•May 8, 2019

Very well explained concepts. The probability portion was the best. Baye's theorem & Binomial theorem were very interesting. I had a very nice learning experience.

创建者 Kelly C D

•Aug 19, 2018

I haven't taken a formal math class in almost a decade, and this was a very "gentle" welcome-back to the quantitative realm :) thanks to the team behind the magic

创建者 Aninkan G

•Apr 30, 2020

The quizzes were tough and challenging. Overall the course curriculum is outstanding. Thank you Coursera and Duke University for providing such wonderful course.

创建者 Dmitry T

•Jul 6, 2020

It is an excellent course to bring back all that school and university Math:) Great examples, learning materials and training tests! Many thanks to the authors!

创建者 Shamshulla S

•May 4, 2020

It was very good experience. But certificate reciveng is a very difficult process. I completed my first course but I didn't received my course certificate yet.

创建者 Vishv S

•Apr 7, 2020

Best knowledge given by Professors with detailed real life examples. It was an amazing experience by learning from the Professors of renowned Duke University.

创建者 Subodh A

•Jul 31, 2020

The course was very helpful in giving the detailed basic math required for Data Science.

The concepts are explained nicely and one can easily understand them.

创建者 Tiffany L

•Jul 4, 2020

Both professors made this course extremely easy to follow. The first three weeks were good review to refresh my memory, and I learned a lot in the last week!

创建者 138_Ashish B

•Jun 3, 2020

This course is exceptionally very good. The way the professors helped me to grasp the concept was amazing. They taught from basics and cleared all my doubts.

创建者 Raviranjan K

•Apr 15, 2020

This course is really helpful for data science (not only) other students can also learn this. The content of this course is very good and easy to understand.

创建者 Samuel J

•Oct 4, 2019

I am a high school sophomore and I loved this course. I learned so much in a short period of time. Now I want to go into data science as a career. Thank you!

创建者 Mantha P

•Apr 26, 2020

This course provides very basics about some of maths concepts and I became able to recall those basics and learnt how to apply these concepts in daily life.

创建者 Minho C

•Jul 10, 2020

The readings that come with the video's are a must; extremely helpful. I needed this course to cope my mathematics skills which I took a break for 3 years.

- Finding Purpose & Meaning in Life
- Understanding Medical Research
- Japanese for Beginners
- Introduction to Cloud Computing
- Foundations of Mindfulness
- Fundamentals of Finance
- 机器学习
- 使用 SAS Viya 进行机器学习
- 幸福科学
- Covid-19 Contact Tracing
- 适用于所有人的人工智能课程
- 金融市场
- 心理学导论
- 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
- 深度学习
- 零基础 Python 入门
- 数据科学
- 商务基础
- Excel 办公技能
- Data Science with Python
- Finance for Everyone
- Communication Skills for Engineers
- Sales Training
- 职业品牌管理职业生涯品牌管理
- Wharton Business Analytics
- Penn Positive Psychology
- Washington Machine Learning
- CalArts Graphic Design

- 专业证书
- MasterTrack 证书
- Google IT 支持
- IBM 数据科学
- 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
- 公共卫生学位
- Data Science Degrees
- 学士学位
- 计算机科学学士
- MS Electrical Engineering
- Bachelor Completion Degree
- MS Management
- MS Computer Science
- MPH
- Accounting Master's Degree
- MCIT
- MBA Online
- 数据科学应用硕士
- Global MBA
- Master's of Innovation & Entrepreneurship
- MCS Data Science
- Master's in Computer Science
- 公共健康硕士