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
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