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Mastering Data Analysis in Excel
You can't access an archived course
- Self-paced
- Free Access
- Fee-based Certificate
- 6 Sequences
- Introductive Level
Course details
Syllabus
- Week 1 - About This Course
This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which appli... - Week 1 - Excel Essentials for Beginners
In this module, will explore the essential Excel skills to address typical business situations you may encounter in the future. The Excel vocabulary and functions taught throughout this module make it possible for you to understand the additional explanatory E... - Week 2 - Binary Classification
Separating collections into two categories, such as “buy this stock, don’t but that stock” or “target this customer with a special offer, but not that one” is the ultimate goal of most business data-analysis projects. There is a specialized vocabulary of measu... - Week 3 - Information Measures
In this module, you will learn how to calculate and apply the vitally useful uncertainty metric known as “entropy.” In contrast to the more familiar “probability” that represents the uncertainty that a single outcome will occur, “entropy” quantifies the aggreg... - Week 4 - Linear Regression
The Linear Correlation measure is a much richer metric for evaluating associations than is commonly realized. You can use it to quantify how much a linear model reduces uncertainty. When used to forecast future outcomes, it can be converted into a “point esti... - Week 5 - Additional Skills for Model Building
This module gives you additional valuable concepts and skills related to building high-quality models. As you know, a “model” is a description of a process applied to available data (inputs) that produces an estimate of a future and as yet unknown outcome as ... - Week 6 - Final Course Project
The final course project is a comprehensive assessment covering all of the course material, and consists of four quizzes and a peer review assignment. For quiz one and quiz two, there are learning points that explain components of the quiz. These learning po...
Prerequisite
None.
Instructors
Jana Schaich Borg
Assistant Research Professor
Social Science Research Institute
Daniel Egger
Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University
Editor
Duke University is a private North American research university located in Durham, North Carolina. The university is named after the Duke dynasty.
Although the university was not officially founded until 1924 (its roots go back to 1838). Frequently referred to as the "Harvard of the South", Duke is the most selective university in the American South.
The university is a member of the Association of American Universities, an association which, since 1900, has brought together the elite research universities of North America.
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.
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