4.4
115 ratings
25 reviews

#### 100% online

Start instantly and learn at your own schedule.

#### Approx. 14 hours to complete

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

#### English

Subtitles: English

### Skills you will gain

Basic Descriptive StatisticsData AnalysisMicrosoft ExcelMarketing

#### 100% online

Start instantly and learn at your own schedule.

#### Approx. 14 hours to complete

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

#### English

Subtitles: English

### Syllabus - What you will learn from this course

Week
1
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. ...
1 video (Total 3 min), 2 readings
1 video
Getting Started10m
A Note About Exercises & Quizzes10m
Week
2
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....
4 videos (Total 43 min), 3 readings, 1 quiz
4 videos
Course Goals & Example 2: Performing Arts Centers8m
Organizing Data10m
The Motion Picture Industry12m
Big Data in the Big Apple10m
Motion Picture Industry Example Data Set10m
1 practice exercise
Module 2 Quiz25m
Week
3
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....
5 videos (Total 48 min), 3 readings, 1 quiz
5 videos
Displaying Conditional Distributions4m
Analyzing Qualitative Variables3m
Steps in Constructing Histograms11m
Common Descriptive Statistics for Quantitative Data14m
Giving Viewers What They Want10m
Why Personalization is Key for Content Marketing5m
Assignment: Survey Analysis Assignment25m
1 practice exercise
Module 3 Quiz30m
Week
4
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....
4 videos (Total 41 min), 2 readings, 1 quiz
4 videos
Introduction to Customer Analytics10m
Illustrating Customer Analytics in Excel11m
How to Find Your Most Valuable Customers20m
Assignment: Customer Acquisition Example25m
1 practice exercise
Module 4 Quiz25m
4.4
25 Reviews

## 50%

started a new career after completing these courses

## 25%

got a tangible career benefit from this course

### 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

### David Schweidel

Associate Professor of Marketing

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....