Algebra and Differential Calculus for Data Science

This course is part of Expressway to Data Science: Essential Math Specialization

Instructor: Jane Wall

What you'll learn

  •   Practice working with logarithm properties and how logarithm functions behave graphically.
  •   Identify the difference between a continuous and non-continuous function.
  •   Solidify an understanding of what a derivative is calculating.
  •   Understand how to use derivatives to create graphs of functions.

    • Skills you'll gain

  •   Mathematical Theory & Analysis
  •   Derivatives
  •   Calculus
  •   Algebra
  •   Data Science
  •   Graphing
  •   Applied Mathematics

    • There are 6 modules in this course

    This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.com

    Induction Proofs, Limits and Continuity

    Definition of a Derivative

    Product and Chain Rule

    Using Derivatives to Graph Functions

    Finding Maximums and Minimums

    Explore more from Math and Logic

    Differential Calculus through Data and Modeling

    Integral Calculus and Numerical Analysis for Data Science

    Calculus through Data & Modelling: Integration Applications

    Calculus through Data & Modeling: Differentiation Rules

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