We may earn an affiliate commission when you visit our partners.
Course image
Anke Audenaert, Victor Geislinger, and Brandon Larkin

This eight-course program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary.

Read more

This eight-course program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary.

Developed by marketing analytics experts at Aptly and Meta, and designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more.

You’ll learn basic marketing principles, how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach common analytics questions. You’ll learn how to use essential tools like spreadsheets, SQL, and Python to collect, connect, and analyze relevant data. You’ll apply common statistical methods used to segment audiences, evaluate campaign results, optimize the marketing mix and evaluate sales funnels.

Throughout the program, you'll gain proficiency in visualizing data using Tableau and how to use Meta Ads Manager to create campaigns, evaluate results, and run experiments to optimize your campaigns. You'll have the opportunity to apply your new skills in hands-on, industry-specific projects.

The final course prepares you for the Meta Marketing Science Professional Certification exam. Upon successful completion of the program, you'll earn a certificate of completion from Coursera. If you opt to take and pass the Meta Marketing Science Professional Certification exam, you will also earn the Meta Marketing Science Professional Certificate.

Enroll now

Share

Help others find Specialization from Coursera by sharing it with your friends and followers:

What's inside

Three courses

Data Analysis with Spreadsheets and SQL

(0 hours)
This course introduces how to use spreadsheets and SQL queries to analyze and extract data. You will learn how to practically apply the OSEMN data analysis framework and spreadsheet functions to clean data, calculate summary statistics, evaluate correlations, and more. You’ll also dive into common data visualization techniques and learn how to use dashboards to tell a story with your data.

Python Data Analytics

(0 hours)
This course introduces Python for data manipulation. You will learn to pull, clean, manipulate, and interpret data using Python and Pandas. By the end, you will be able to use Python to construct loops and basic data structures, sort, query, and structure data in Pandas, create data visualizations with Python libraries, and model and interpret data using Python.

Meta Marketing Science Certification Exam

(0 hours)
This course prepares you for the Meta Marketing Science Certification exam. You’ll learn how to schedule and take the exam through Meta Blueprint. You’ll also get access to a study guide and other resources to help you prepare.

Learning objectives

  • Collect, sort, evaluate, and visualize marketing data
  • Summarize and analyze data using marketing analytics methods
  • Design experiments and test hypotheses to evaluate advertising effectiveness
  • Use meta ads manager to run tests, learn what works, and optimize ad performance

Save this collection

Save Meta Marketing Analytics to your list so you can find it easily later:
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser