Linear Programming for Data Science
Linear Programming for Data Science, available at $19.99, has an average rating of 5, with 21 lectures, 1 quizzes, based on 6 reviews, and has 364 subscribers.
You will learn about Introduction to Coordinate System Linear Inequalities Graphing of Linear inequalities Linear programming Problems This course is ideal for individuals who are For data science /Engineering students and professional It is particularly useful for For data science /Engineering students and professional.
Enroll now: Linear Programming for Data Science
Summary
Title: Linear Programming for Data Science
Price: $19.99
Average Rating: 5
Number of Lectures: 21
Number of Quizzes: 1
Number of Published Lectures: 21
Number of Published Quizzes: 1
Number of Curriculum Items: 22
Number of Published Curriculum Objects: 22
Original Price: ₹3,099
Quality Status: approved
Status: Live
What You Will Learn
- Introduction to Coordinate System
- Linear Inequalities
- Graphing of Linear inequalities
- Linear programming Problems
Who Should Attend
- For data science /Engineering students and professional
Target Audiences
- For data science /Engineering students and professional
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 Curriculum
Chapter 1: Introduction to Cartisian Coordinate System
Lecture 1: Introduction to coordinate geometry
Lecture 2: Illustration 1
Lecture 3: Illustration 2
Chapter 2: Solving Linear Equations
Lecture 1: Linear Equations : Introduction
Lecture 2: Methods of Solving
Lecture 3: Illustration 1
Lecture 4: Illustration 2
Lecture 5: Illustration 3
Chapter 3: Linear Inequalities
Lecture 1: Inequations and their general properties
Lecture 2: Illustration 1
Lecture 3: Illustration 2
Lecture 4: Illustration 3
Lecture 5: Illustration 4
Lecture 6: Illustration 5
Lecture 7: Representing an inequality on a graph
Lecture 8: Illustration 1
Lecture 9: Illustration 2
Chapter 4: Linear Programming Problems (Corner Point Method)
Lecture 1: Illustration 1
Lecture 2: Illustration 2
Lecture 3: Illustration 1 (Word Problem)
Lecture 4: Illustration 2 (Word Problem)
Instructors
-
Sandeep Kumar Mathur
Faculty (Maths)
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 6 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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