Data Science Math Skills by Duke Universiy
It's impossible to escape arithmetic in data science classes. Data Science Math Skills by Duke Universiy was built for learners who have basic math skills but have not studied algebra or pre-calculus and want to master the basic math they will need to succeed in practically any data science math course. Data Science Math Skills offers the essential math on which data science is built, with no added complexity, one at a time, presenting unexpected topics and math symbols.
Before going on to more advanced content, learners will grasp the vocabulary, notation, concepts, and algebra rules that all data scientists must know.
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.
This course offers:
- Flexible deadlines : Reset deadlines in accordance to your schedule.
- Certificate : Earn a Certificate upon completion
- 100% online
- Beginner Level
- Approx. 13 hours to complete
- Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
Coursera Rating: 4.5/5
Enroll here:https://www.coursera.org/learn/datasciencemathskills
