Udemy

Linear Programming for Data Science

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  • 376 Students
  • Updated 12/2025
5.0
(06 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 1 Minute(s)
Language
English
Taught by
Sandeep Kumar Mathur
Rating
5.0
(06 Ratings)

Course Overview

Linear Programming for Data Science

Learn Linear Programming Problems (LPP) for Data Science and Machine Learning

Are you struggling with comprehending various concepts in Mathematics? Do you feel unsure of yourself when it comes to learning Math? Are you facing difficulties in solving Math problems and feel that you need to strengthen your basics? If you answered yes to any of these questions, then look no further, because this course is the solution you have been looking for!

Throughout this course, the emphasis is on learning Mathematics through the use of practice problems. This course is beneficial for both beginners and advanced learners. The course covers a variety of topics, including the objective function, constraints, linear programming problems (LPP), and how to convert word problems into LPP models.

I am confident that this course will create a strong foundation for students, as well as those who are preparing for competitive tests or studying higher Mathematics. In addition, there will be a supportive Q&A section available to assist you as needed.

Based on your feedback, new materials such as Linear Programming techniques, including the Simplex method, will be added to the course. I am hopeful that this course will enhance your understanding of Mathematics and boost your self-confidence, particularly if you are taking courses in data science and other fields of management from various business schools and universities.

Don't hesitate any longer and join the course now! You will gain access to a wealth of knowledge that will help you overcome your fear of Mathematics and strengthen your skills. The knowledge and expertise gained from this course will assist you in reaching new heights of success.

Course Content

  • 4 section(s)
  • 25 lecture(s)
  • Section 1 Introduction to Cartisian Coordinate System
  • Section 2 Solving Linear Equations
  • Section 3 Linear Inequalities
  • Section 4 Linear Programming Problems (Corner Point Method)

What You’ll Learn

  • Introduction to Coordinate System, Linear Inequalities, Graphing of Linear inequalities, Linear programming Problems


Reviews

  • S
    Shubham Sharma
    5.0

    wow that was a great explaination.

  • S
    Sourabh jangid
    5.0

    Thank you for your expectations.my all doubt clear.

  • s
    shyojiram Prajapati
    5.0

    Excellent course

  • S
    Sanjay Ahuja
    5.0

    NICE COURSE FOR DATA SCIENCE STUDENTS. EXCELLENT TEACHING

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