About this Course
4.4
110 ratings
25 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 14 hours to complete

Suggested: 5 weeks of study, 2-3 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

Basic Descriptive StatisticsData AnalysisMicrosoft ExcelMarketing
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 14 hours to complete

Suggested: 5 weeks of study, 2-3 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
1 hour to complete

Meet Dr. Schweidel & Course Overview

In this module, students will be introduced to the instructor, Dr. David Schweidel and get and overview of the course. ...
Reading
1 video (Total 3 min), 2 readings
Video1 video
Reading2 readings
Getting Started10m
A Note About Exercises & Quizzes10m
Week
2
Hours to complete
2 hours to complete

Exploring your Data with Visualization and Descriptive Statistics, Part 1

Modules 2 and 3 focus on identifying appropriate descriptive statistics (measures of central tendency and dispersion) for different types of data, as well as recoding data using reference commands to prepare it for analysis. Additionally, you will manipulate and summarize data using pivot tables in Excel, produce visualizations that are appropriate based on the type of data being analyzed, and interpret statistics and visualizations to draw conclusions to address relevant marketing questions....
Reading
4 videos (Total 43 min), 3 readings, 1 quiz
Video4 videos
Course Goals & Example 2: Performing Arts Centers8m
Organizing Data10m
The Motion Picture Industry12m
Reading3 readings
How Companies Learn Your Secrets10m
Big Data in the Big Apple10m
Motion Picture Industry Example Data Set10m
Quiz1 practice exercise
Module 2 Quiz25m
Week
3
Hours to complete
2 hours to complete

Exploring your Data with Visualization and Descriptive Statistics, Part 2

Modules 2 and 3 focus on identifying appropriate descriptive statistics (measures of central tendency and dispersion) for different types of data, as well as recoding data using reference commands to prepare it for analysis. Additionally, you will manipulate and summarize data using pivot tables in Excel, produce visualizations that are appropriate based on the type of data being analyzed, and interpret statistics and visualizations to draw conclusions to address relevant marketing questions....
Reading
5 videos (Total 48 min), 3 readings, 1 quiz
Video5 videos
Displaying Conditional Distributions4m
Analyzing Qualitative Variables3m
Steps in Constructing Histograms11m
Common Descriptive Statistics for Quantitative Data14m
Reading3 readings
Giving Viewers What They Want10m
Why Personalization is Key for Content Marketing5m
Assignment: Survey Analysis Assignment25m
Quiz1 practice exercise
Module 3 Quiz30m
Week
4
Hours to complete
2 hours to complete

Regression Analysis for Marketing Data

In this module, you will be asked to determine the appropriate type of regression for different types of marketing data and will perform regression analysis to assess the impact of marketing actions on outcomes of interest, such as sales, traffic, and brand choices. You will also be asked to interpret regression output to understand overall model performance and importance of different predictors, as well as make predictions using the appropriate regression model....
Reading
4 videos (Total 41 min), 2 readings, 1 quiz
Video4 videos
Introduction to Customer Analytics10m
Customer Choices Drive Business Decisions9m
Illustrating Customer Analytics in Excel11m
Reading2 readings
How to Find Your Most Valuable Customers20m
Assignment: Customer Acquisition Example25m
Quiz1 practice exercise
Module 4 Quiz25m
4.4
25 ReviewsChevron Right

Top Reviews

By HKJan 3rd 2017

Excellent course! Very hands on with right level of theory and application. Prof. Schweidel is obviously an expert in this field.

By JDAug 29th 2017

This course went in depth into some excel functions used for analyzing sales and marketing data, really thought it was useful.

Instructor

Avatar

David Schweidel

Associate Professor of Marketing
Goizueta Business School

About Emory University

Emory University, located in Atlanta, Georgia, is one of the world's leading research universities. Its mission is to create, preserve, teach and apply knowledge in the service of humanity....

About the Foundations of Marketing Analytics Specialization

In this specialization you will learn how to: • Find, extract, organize and describe data to support business decisions • Identify, quantify and interpret relationships between variables • Derive customer insights from your data • Develop spreadsheet models to analyze data, evaluate risk and optimize business decisions • Present and justify a course of action to management The capstone project will give you an opportunity to apply what has been covered in the specialization to solve a marketing analytics problem....
Foundations of Marketing Analytics

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.