Udemy course :Math for Data science,Data analysis and Machine Learning
Learn Math essentials for Data science,Data analysis,Machine Learning and Artificial intelligence
$86.99$15.89
This course covers essential Math topics for Data Science, Data Analysis, and Machine Learning, including key areas like Linear Algebra, Statistics, Probability, Calculus, and Geometry. It’s designed for both beginners and advanced learners, particularly beneficial for engineering, data science, machine learning, and Python programming students.
Key Topics Covered:
Linear Algebra: Types of matrices, matrix operations, determinants, eigenvalues and eigenvectors, Gaussian elimination, Cayley Hamilton Theorem.
Statistics & Probability: Data types, central tendency, dispersion, probability basics, Bayes’ Theorem.
Calculus: Functions, limits, derivatives, maxima & minima, elasticity.
Geometry: Basic concepts, Venn diagrams, set theory, and graphing.
Who This Course Is For:
Students of Engineering, Data Science, Machine Learning, Python Programming, and those preparing for competitive tests.
Join now and build a solid foundation for your mathematical journey in data science!