Data Science Math Skills- Online
offered by Duke University

Private University
9000 acre campus
Estd. 1838

Data Science Math Skills- Online
at
Duke University
Overview

Master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material

Duration	13 hours
Mode of learning	Online
Difficulty level	Beginner
Official Website	Go to Website
Course Level	UG Certificate

Data Science Math Skills- Online
at
Duke University
Highlights

Earn a certificate from Duke University
Learn from expert faculty

Data Science Math Skills- Online
at
Duke University
Course details

Skills you will learn

Data Science

Who should do this course?

Individuals who are new to data science and want to build a strong foundation in mathematics necessary for data analysis and machine learning

What are the course deliverables?

Set theory, including Venn diagrams
Properties of the real number line
Interval notation and algebra with inequalities
Uses for summation and Sigma notation
Math on the Cartesian (x,y) plane, slope and distance formulas
Graphing and describing functions and their inverses on the x-y plane

More about this course

This course is designed to teach learners the basic math students will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus
Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time

Data Science Math Skills- Online
at
Duke University
Curriculum

Welcome to Data Science Math Skills

Building Blocks for Problem Solving

Functions and Graphs

Measuring Rates of Change

Introduction to Probability Theory

Data Science Math Skills- Online
at
Duke University
Faculty details

Daniel Egger

Daniel Egger has more than seventeen years experience creating new software products and services, as founder and CEO of a series of venture-backed information technology companies, and as Managing Partner in a venture capital fund. Egger is Executive in Residence in Duke University’s Master of Engineering Management Program and has taught courses in entrepreneurship and venture capital at Duke since 2003. He was formerly the Howard Johnson Foundation Entrepreneur-in-Residence in Duke’s Markets and Management Program for undergraduates.

Paul Bendich

Assistant research professor of Mathematics; Associate Director for Curricular Engagement at the Information Initiative at Duke