Calculus, Number Theory, Clustering & More! Train with 96 Hours of Essential Math Content and Its Applications from Highly-Rated Instructors
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Mathematics for Data Science & Machine Learning using R
Data Science has become one of the most important aspects in most of the fields. From healthcare to business, data is important. However, it revolves around 3 major aspects and these are data, foundational concepts, and programming languages for interpreting the data. In this course, you will be taught about foundational mathematics for Data Science using R programming language, a language developed specifically for performing statistics, data analytics, and graphical modules in a better way.
This is a 10 Course bundle (697 Lessons) containing the following courses:
- Master Clustering Analysis for Data Science Using MATLAB: Implement Classification & Clustering Algorithms Using MATLAB with Practical Examples, Projects, and Datasets
- Precalculus: Become an Expert on Precalculus Topics Like Functions, Trigonometry, Sequence & Series & More!
- Calculus 1 Mastered: Become an Expert on Limits, Continuity, Derivatives & Its Applications
- Master Number Base Conversion: Binary, Octal, Decimal & More — Learn How to Do Arithmetic In These Bases
- Number Theory: Explore, Learn & Master Fundamental Topics in Number Bases, Arithmetic, Factorials and More
- Graph Theory: 9 Hours of Basic Content on Fundamentals & Properties of Graphs
- QC051: Math Prerequisites for Quantum Computing: Get a Quick Review of Your Basic Math Prerequisites for Quantum Computing & Quantum Physics
- Mathematical Foundation for Machine Learning & AI: Demystify the Math That Powers Today’s AI Innovations
- Mathematics for Data Science & Machine Learning using R: Learn the Fundamental Mathematics for Data Science, AI & ML Using R Programming Language
- Discrete Mathematics: Sets, Logic, Proof, Functions, Stats & More — Master the Backbone of Mathematics and Computer Science
