Free download » Free download video courses » Udemy - Math for Data science,Data analysis and Python Programming
| view 👀:87 | 🙍 oneddl | redaktor: FreshWap.CC | Rating👍:

Udemy - Math for Data science,Data analysis and Python Programming



Udemy - Math for Data science,Data analysis and Python Programming
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 33 lectures (4h 55m) | Size: 6.2 GB
Learn Math essentials for Data science,Data analysis,Machine Learning ,Artificial Intelligence and Python Programming


What you'll learn:
Learn the foundational concepts of Linear Algebra
Learn the foundational concepts of statistics
Learn the foundational concepts of Geometry
Learn the foundational concepts of Calculus
Application of key mathematical topics related to linear algebra with the Python programming language
Requirements
Basic knowledge of Math will be needed to finish the course
Description
In this course, we will learn Math for data science,Data analysis,Machine Learning and Python Programming We will also discuss the importance of Linear Algebra,Statistics and Probability,Calculus and Geometry in these technological areas. Since data science is studied by both the engineers and commerce students ,this course is designed in such a way that it is useful for both beginners as well as for advanced level.
Here, this course covers the following areas :
Importance of Linear Algebra
Types of Matrices
Importance of Statistics for Data Science
Statistics : An Introduction
Importance of Calculus for Data science
Importance of Euclidean Geometry
Set Theory : Definition and its representation
Type of Sets
Subset,Power set and Universal set
Each of the above topics has a simple explanation of concepts and supported by selected examples.
I am sure that this course will be create a strong platform for students and those who are planning for appearing in competitive tests and studying higher Mathematics .
You will also get a good support in Q&A section . It is also planned that based on your feed back, new course materials will be added to the course. Hope the course will develop better understanding and boost the self confidence of the students.
Waiting for you inside the course!
So hurry up and Join now !!
Who this course is for
Students of engineering, data science, machine learning and python programming
Homepage
https://www.udemy.com/course/math-for-data-sciencedata-analysis-and-python-programming


Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me


.html
.html
.html
.html





rapidgator
https://rapidgator.net/file/2077d499af0df3be54c5625ea4c9ed3c/elnj1.M.f.D.s.a.a.P.P.part1.rar.html
https://rapidgator.net/file/e67e604e0d131386d9a9ca008f2f279d/elnj1.M.f.D.s.a.a.P.P.part2.rar.html
https://rapidgator.net/file/c58da0d4f2e715fad7eb3445302c0a80/elnj1.M.f.D.s.a.a.P.P.part3.rar.html
https://rapidgator.net/file/152ef01f242a34a0e8cc48d9a658ed69/elnj1.M.f.D.s.a.a.P.P.part4.rar.html





Links are Interchangeable - No Password - Single Extraction

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload
📌🔥Contract Support Link FileHost🔥📌
✅💰Contract Email: [email protected]

Help Us Grow – Share, Support

We need your support to keep providing high-quality content and services. Here’s how you can help:

  1. Share Our Website on Social Media! 📱
    Spread the word by sharing our website on your social media profiles. The more people who know about us, the better we can serve you with even more premium content!
  2. Get a Premium Filehost Account from Website! 🚀
    Tired of slow download speeds and waiting times? Upgrade to a Premium Filehost Account for faster downloads and priority access. Your purchase helps us maintain the site and continue providing excellent service.

Thank you for your continued support! Together, we can grow and improve the site for everyone. 🌐

Comments (0)

Information
Users of Guests are not allowed to comment this publication.