Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Data Science Math Skills certification is a 13 hours online course that is divided into 4 weeks and is an offering of Coursera along with Duke University. This course is very useful for those who want to keep on learning the basics of mathematics irrespective of whether they have learnt pre-calculus or algebra. Learning math skills through both androids, and apple devices will create the basis for successful data science.
Data Science Math Skills training forms the introduction for core math skills that data science requires, without any extra complexity, by introducing math symbols, and unfamiliar ideas one at a time. Besides this being a beginner course, this certification can act as a prerequisite for the “Mastering Data Analysis in Excel” course. Anyone who has successfully completed this gets to understand advanced concepts of maths like problem-solving along with certificates that are shareable.
The Highlights
- 4 weeks programme
- 100% online course
- 13 hours of classes
- Beginner level course
- Self-learning course
- 9 subtitles available
- Certificate by Coursera
Programme Offerings
- Online Course
- Shareable Certificate
- Flexible Deadlines
- Graded Assignments
- English Course
- 9 Subtitles Available
- Lectures
- videos
- Readings
- Practice Exercises
- Discussion Forums
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2422 | yes | Coursera |
The Data Science Math Skills certification fee is Rs. 2,422. This fee includes the full course plus a certificate. Now if students do not want to spend money they can start off with the free course that offers no certificates.
Data Science Math Skills Fee Structure
Description | Amount |
Full Course, No Certificate | Free |
Full Course, With Certificate | Rs. 2,422 |
Eligibility Criteria
Educational Qualification
Having command over any of the languages like French, Russian, Portuguese (European), German, English, Arabic, Spanish, Italian, and Vietnamese may be useful.
Certification Qualifying Details
Completing all 4 weeks of readings, practice exercises, and video watching will give the Data Science Math Skills certification by Coursera to its participants.
What you will learn
The Data Science Math Skills certification syllabus candidates will actually be mastering the notation, vocabulary, and algebra rules required by data scientists. Some of the concepts are stated below:
- Set theory, including Venn diagrams
- Interval notation, and algebra with inequalities
- Properties of the real number line
- Math on the Cartesian (x,y) plane, slope, and distance formulas
- Uses for summation and Sigma notation
- Exponents, logarithms, and the natural log function
- Concept of instantaneous rate of change and tangent lines
- Graphing and functions descriptions and their inverses on the x-y plane,
- Probability theory, including Bayes’ theorem
Admission Details
The Data Science Math Skills admission process is as follows:
Step 1: Visit the official website: https://www.coursera.org/learn/datasciencemathskills.
Step 2: The button ‘Join For Free’, located on the top right corner has to be clicked by the participants.
Step 3: At the next step, the participants will need to make free accounts on Coursera.
Step 4: After signing up, candidates will either start paying the fee at one go or look for financial aid, if available.
Step 5: The faster the above steps are done, admission is given.
Application Details
Applying to the Data Science Math Skills online course takes a few seconds if the internet connection is secure. Candidates can either use their personal email addresses, or create one to sign up on Coursera, and voila admission is secured.
The Syllabus
Videos
Welcome to Data Science Math Skills
Readings
- Course Information
- Weekly feedback surveys
Videos
- Sets - Basics and Vocabulary
- Sets - Medical Testing Example
- Sets - Venn Diagrams
- Numbers - The Real Number Line
- Numbers - Less-than and Greater-than
- Numbers - Algebra With Inequalities
- Numbers - Intervals and Interval Notation
- Sigma Notation - Introduction to Summation
- Sigma Notation - Simplification Rules
- Sigma Notation - Mean and Variance
Readings
- A note about the video lectures in this lesson
- A note about the video lectures in this lesson
- A note about the video lectures in this lesson
- Feedback
Practice Exercises
- Practice quiz on Sets
- Practice quiz on the Number Line, including Inequalities
- Practice quiz on Simplification Rules and Sigma Notation
- Graded quiz on Sets, Number Line, Inequalities, Simplification, and Sigma Notation
Videos
- Cartesian Plane - Plotting Points
- Cartesian Plane - Distance Formula
- Cartesian Plane - Point-Slope Formula for Lines
- Cartesian Plane: Slope-Intercept Formula for Lines
- Functions - Mapping from Sets to Sets
- Functions - Graphing in the Cartesian Plane
- Functions - Increasing and Decreasing Functions
- Functions - Composition and Inverse
Readings
- A note about the video lectures in this lesson
- A note about the video lectures in this lesson
- Feedback
Practice Exercises
- Practice quiz on the Cartesian Plane
- Practice quiz on Types of Functions
- Graded quiz on Cartesian Plane and Types of Function
Videos
- Tangent Lines - Slope of a Graph at a Point
- Tangent Lines - The Derivative Function
- Using Integer Exponents
- Simplification Rules for Algebra using Exponents
- How Logarithms and Exponents are Related
- The Change of Base Formula
- The Rate of Growth of Continuous Processes
Readings
- A note about the video lectures in this lesson
- A note about the video lectures in this lesson
- Feedback
Practice Exercise
- Practice quiz on Tangent Lines to Functions
- Practice quiz on Exponents and Logarithms
- Graded quiz on Tangent Lines to Functions, Exponents and Logarithms
Videos
- Probability Definitions and Notation
- Joint Probabilities
- Permutations and Combinations
- Using Factorial and “M choose N”
- The Sum Rule, Conditional Probability, and the Product Rule
- Bayes’ Theorem (Part 1)
- Bayes’ Theorem (Part 2)
- The Binomial Theorem and Bayes Theorem
Readings
- A note about the video lectures in this lesson
- A note about the video lectures in this lesson
- A note about the video lectures in this lesson
- Feedback
Practice Exercises
- Practice quiz on Probability Concepts
- Practice quiz on Problem Solving
- Practice quiz on Bayes Theorem and the Binomial Theorem
- Probability (basic and Intermediate) Graded Quiz
Instructors
Duke University, Durham Frequently Asked Questions (FAQ's)
The content rating of this programme is 96%,
Deleting an account will not stop any payments for the course.
Candidates having Android devices with the 4.4 (Kit Kat) version cannot use Course
Any payment through the iOS app shall be processed only through Apple devices.
The Chrome browser is usually suggested for this programme.
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