Description
Complete Guide to Calculus Foundations for Data Science. This course comprehensively teaches the basic mathematical concepts, including limits, derivatives, and integrals, that are critical to understanding and working in the field of data science. Taught by Megan Silvey, this course introduces learners to key topics such as working with functions, understanding the concept of limits and continuity, and calculating derivatives and integrals through clear explanations and practical examples. The content provided is equivalent to university courses designed to provide the audience with a deep understanding of these topics and the ability to perform relevant calculations. This course is a great option for data scientists and professionals who want to strengthen their mathematical knowledge and gain a better understanding of the mathematical tools used in their profession.
What you will learn
- Understand basic concepts of calculus, including limits, derivatives, and integrals.
- Acquire the skills necessary to work with functions, limits, derivatives, and continuity.
- Develop a full understanding of limits and how to calculate them.
- Mastering the principles of derivatives and how to perform derivative calculations.
- Learn the principles of integrals and how to perform integration calculations.
- Gain the ability to apply mathematical concepts in the fields of data science and data analysis.
This course is suitable for people who:
- Data Scientists who are looking to strengthen their mathematical skills in the field of calculus.
- Data Professionals who want to expand their knowledge of the mathematical tools used in their profession.
- People who seek a deeper understanding of the mathematics that governs the world of data.
- Those who want to pursue a comprehensive college-level calculus course with a focus on practical applications.
Course Details Complete Guide to Calculus Foundations for Data Science
- Publisher: LinkedIn
- Instructor: Megan Silvey
- Education level: Intermediate
- Training duration: 10 hours and 56 minutes
Course syllabus as of 2025/4
Course images
Sample course video
Installation Guide
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Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
695 MB
