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

2020年5月5日

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!!

VS

2020年9月22日

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!

篩選依據：

創建者 Olumuyiwa O

•2020年4月11日

It was excellently taught. I have not perfectly understood conditional probabilities but I am aware that it needs a lot of practice and study. Thank you for your knowledge.

創建者 Tiago V

•2017年9月20日

Really good to remember some maths stuff and to learn and consolidate new maths stuff that I thought I knew (but actually only learnt about it in this course).

Great course

創建者 Tony J A

•2017年7月20日

Really good course to get a understanding of the basic concepts required to start with data sciences. Teachers are excellent and the quizs and assignments are challenging.

創建者 Irvin

•2020年5月18日

Explanation and notes were very concise, although the learning curve for the probability portion is a little steep. Able to rewatch and google until you grasp the concept

創建者 Sir P

•2020年11月7日

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.

創建者 Nakshatra G

•2021年1月15日

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.

創建者 liqiang

•2018年2月13日

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!

創建者 Ana P P D

•2020年4月27日

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.

創建者 ANSARI A M Y

•2020年4月24日

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

創建者 SARATHKUMAR E

•2020年4月15日

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

創建者 shivashish p

•2020年6月27日

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!

創建者 Lasal J

•2020年10月26日

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.

創建者 Civan L K

•2020年9月29日

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.

創建者 Gaikwad M

•2020年4月30日

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.

創建者 vani s

•2019年5月24日

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.

創建者 Sumit K

•2020年11月17日

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.

創建者 Swaviman K

•2019年5月8日

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.

創建者 Kelly C D

•2018年8月19日

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

創建者 Aninkan G

•2020年4月30日

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

創建者 Dmitry T

•2020年7月6日

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!

創建者 Shamshulla S

•2020年5月4日

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.

創建者 Vishv S

•2020年4月7日

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

創建者 Subodh A

•2020年7月31日

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.

創建者 Tiffany L

•2020年7月4日

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!

創建者 138_Ashish B

•2020年6月3日

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.

- Finding Purpose & Meaning in Life
- Understanding Medical Research
- Japanese for Beginners
- Introduction to Cloud Computing
- Foundations of Mindfulness
- Fundamentals of Finance
- 機器學習
- 使用 SAS Viya 進行機器學習
- 幸福科學
- Covid-19 Contact Tracing
- 適用於所有人的人工智能課程
- 金融市場
- 心理學導論
- 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
- 深度學習
- 零基礎 Python 入門
- 數據科學
- 商務基礎
- Excel 辦公技能
- Data Science with Python
- Finance for Everyone
- Communication Skills for Engineers
- Sales Training
- 職業品牌管理職業生涯品牌管理
- Wharton Business Analytics
- Penn Positive Psychology
- Washington Machine Learning
- CalArts Graphic Design

- 專業證書
- MasterTrack 證書
- Google IT 支持
- IBM 數據科學
- 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
- 公共衛生學位
- Data Science Degrees
- 學士學位
- 計算機科學學士
- MS Electrical Engineering
- Bachelor Completion Degree
- MS Management
- MS Computer Science
- MPH
- Accounting Master's Degree
- MCIT
- MBA Online
- 數據科學應用碩士
- Global MBA
- Master's of Innovation & Entrepreneurship
- MCS Data Science
- Master's in Computer Science
- 公共健康碩士