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Data Science Math Skills
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Data Science Math Skills

Master essential math for data science: Set theory, real numbers, functions, calculus basics, and probability theory for aspiring data scientists.

Course Cost

₹ 2,699

Beginner

Skill Level

12 Hours

Self-paced lessons

This comprehensive course introduces the fundamental math skills required for data science. Designed for learners with basic math knowledge, it covers essential topics like set theory, real number properties, interval notation, algebra with inequalities, Cartesian plane graphing, functions, derivatives, exponents, logarithms, and probability theory including Bayes' theorem. The course aims to build a strong foundation in mathematical concepts and notation used in data science, preparing learners for more advanced material. With a focus on clear explanations and practical applications, it's an ideal starting point for those looking to enter the field of data science or strengthen their mathematical background.

4.5

4,75,791 Enrolled

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4.5

4,75,791 Enrolled

English

What you'll learn

  • Master set theory concepts including Venn diagrams and their applications

  • Understand real number properties, interval notation, and algebra with inequalities

  • Learn to use summation and Sigma notation for statistical calculations

  • Graph and describe functions on the Cartesian plane, including slope and distance formulas

  • Grasp basic calculus concepts like instantaneous rate of change and tangent lines

  • Explore exponents, logarithms, and the natural log function

  • Develop a strong foundation in probability theory, including Bayes' theorem

Skills you'll gain

Set Theory
Real Numbers
Sigma Notation
Cartesian Plane
Functions
Derivatives
Exponents
Logarithms
Probability Theory
Bayes' Theorem

This course includes:

5 Hours PreRecorded video

14 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This course provides a comprehensive introduction to the essential mathematical skills needed for data science. It covers fundamental topics such as set theory, properties of real numbers, interval notation, algebra with inequalities, graphing on the Cartesian plane, functions and their inverses, basic calculus concepts like derivatives, exponents and logarithms, and probability theory including Bayes' theorem. The course is designed to build a strong foundation in mathematical concepts and notation used in data science, preparing learners for more advanced material. With a focus on clear explanations and practical applications, it's an ideal starting point for those looking to enter the field of data science or strengthen their mathematical background.

Building Blocks for Problem Solving

Module 1 · 3 Hours to complete

Functions and Graphs

Module 2 · 2 Hours to complete

Measuring Rates of Change

Module 3 · 3 Hours to complete

Introduction to Probability Theory

Module 4 · 3 Hours to complete

Fee Structure

Payment options

Financial Aid

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Data Science Math Skills

Beginner

Skill Level

12 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.