Online Course – Certified Professional Internship in Marketing Analytics from Google and Emory University

Instagram decision-making through marketing analytics. Leverage data and analytics to drive management decisions and marketing strategies.

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קורס אונליין - התמחות מקצועית מוסמכת באנליזת שיווק של Google ואוניברסיטת אמורי

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Interpersonal communication skills
  • Troubleshooting
  • Analytical thinking
  • Time management
  • Teamwork
  • Technological skills
  • Independent learning ability
  • creativity
  • Organizational culture
  • Financial understanding

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Marketing Analyst
  • Data analysis specialist
  • Business model developer
  • Data Analysis Project Manager
  • Business consultant for marketing analysis

Internship – 6-part course series

In this internship you will learn how to:

  • Find, extract, organize, and describe data to support business decision makers
  • Identify, quantify, and interpret relationships between variables
  • Gain customer insights from your data
  • Develop spreadsheet models for data analysis, risk assessment, and business decision optimization
  • Present and justify a course of action to management

Final project

The final project will give you the opportunity to apply what you learned in the internship to solve a marketing analysis problem.

Hands-on Learning Project

Students will perform exploratory data analysis and examine pairwise relationships between different variables for a marketing analysis problem. By the end of the course, students will develop and test a predictive model for solving marketing analysis problems.

Details of the courses that make up the specialization

Significant marketing insights

Course 1 • 10 hours • 4.3 (281 ratings)

Course Details
What you’ll learn
  • Marketers intend to be the biggest users of data in the organization.
  • It is necessary to understand the variety of consumer data that the organization collects.
  • Surveys, transaction histories, and billing records can provide insights into future consumer behavior.
  • In the Marketing Analytics Preparatory Course, we introduce the tools learners need to convert raw data into marketing insights.
  • The included exercises are done using Microsoft Excel.
  • The course offers an introduction to essential tools such as exploratory data analysis and regression methods.
  • Microsoft Excel is required to complete the course assignments.
  • If you don’t have Excel, you can download a free 30-day trial here .

Managing Uncertainty in Marketing Analysis

Course 2 • 10 hours • 4.3 (68 ratings)

Course Details
What you’ll learn
  • Marketers must make the best decisions based on the information presented to them.
  • They will rarely possess all the information required to predict what consumers will decide.
  • Incorporating uncertainty into decisions can lead to different outcomes.
  • Learners will be familiar with methods for identifying sources of uncertainty.
  • Topics include the development and application of Monte Carlo simulations.
Skills you will acquire
  • Category: Basic Descriptive Statistics
  • Category: Data Analysis
  • Category: Microsoft Excel
  • Category: Marketing

Models for predicting marketing decisions

Course 3 • 11 hours • 4.4 (77 ratings)

Course Details
What you’ll learn
  • How will customers act in the future?
  • What will be the demand for our products and services?
  • In the course Developing Forecasting Tools with Excel, learners will develop an understanding of the basic components of a forecasting model.
  • How to build their own predictive models.
  • How to evaluate the performance of predictive models.

Analyzing surveys to generate marketing insights

Course 4 • 5 hours • 4.5 (121 ratings)

Course Details
What you’ll learn
  • How do consumers see your brand in relation to competitors?
  • Surveys remain the established and reliable method for generating marketing insights.
  • In the course Analytical Methods for Survey Data, students will become familiar with statistical methods.
  • Techniques that will be discussed include factor analysis, cluster analysis, discriminant analysis, and spatial dimensionality reduction.
  • It is recommended that you complete the Marketing Insights course offered by Coursera before taking this course.
  • This course will require the use of XL Stat, an Excel add-in that learners will need to purchase.

Introduction to Social Media Analytics

Course 5 • 9 hours • 4.3 (107 ratings)

Course Details
What you’ll learn
  • Social media doesn’t just provide marketers with a way to communicate with their customers.
  • In the Advanced Social Media Analytics course, learners will be exposed to the benefits and limitations of relying on social media data.
  • The course provides learners with the basic skills of listening on social media.
  • Learners will have the opportunity to evaluate data and discern how to “listen” to data.

Grand Finale Project in Marketing Analysis

Course 6 • 11 hours • 4.5 (29 ratings)

Course Details
What you’ll learn
  • This grand finale project will give you the opportunity to apply what we learned in the “Fundamentals of Marketing Analysis” program.
  • You will perform exploratory data analysis, examining pairwise relationships between different variables.
  • You will develop and test a predictive model to solve a marketing analytics problem.
  • It is highly recommended to complete all courses within the “Fundamentals of Marketing Analysis” framework before starting the Grand Finale project.

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