This six-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 together with Meta marketers, the industry-relevant curriculum is designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more.
Marketing Mix Optimization
Statistics for Marketing
Advertising Effectiveness Evaluation
Data Visualization (DataViz)
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 Python and SQL to gather, connect, and analyze relevant data. Plus, common statistical methods used to segment audiences, evaluate campaign results, optimize the marketing mix, and evaluate sales funnels.
Along the way, you'll learn to visualize data using Tableau and how to use Meta Ads Manager to create campaigns, evaluate results, and run experiments to optimize your campaigns. You'll also get to practice your new skills through hands-on, industry-relevant projects.
The final course prepares you for the Meta Marketing Science Certification exam. Upon successful completion of the program, you'll earn both the Coursera and the Meta Marketing Science Certifications. You’ll also get exclusive access to the Meta Career Programs Job Board—a job search platform with 200+ top employers looking to hire skilled and certified talent.
This course lays the foundation of marketing analytics. You’ll learn the basic principles of marketing. You’ll learn the role analytics plays in digital marketing and how data is collected and managed for marketing. You will also learn basic privacy regulations that govern the online marketing space as well as common challenges when working with marketing data.
This course equips you with a practical understanding and a framework to guide the execution of basic analytics tasks such as pulling, cleaning, manipulating and analyzing data by introducing you to the OSEMN cycle for analytics projects. You’ll learn to perform data analytics tasks using spreadsheet and SQL queries. You will also be introduced to using the Python programming language to manipulate datasets as an alternative to spreadsheets. You will learn foundational programming concepts and how they apply to marketing. You will also learn how to use Tableau to create data visualizations and dashboards.
This course takes a deep dive into the statistical foundation upon which Marketing Analytics is built. The first part of this course is all about getting a thorough understanding of a dataset and gaining insight into what the data actually means. The second part of this course goes into sampling and how to ask specific questions about your data. Finally, the third part is about answering those questions with analyses. Many of the mistakes made by Marketing Analysts today are caused by not understanding the concepts behind the analytics they run, which causes them to run the wrong test or misinterpret the results. This course is specifically designed to give you the background you need to understand what you are doing and why you are doing it on a practical level.
This course explores common analytics methods used by marketers. You’ll learn how to define a target audience using segmentation with K-means clustering. You’ll also explore how linear regression can help marketers plan and forecast. You’ll learn to evaluate the effectiveness of advertising using experiments as well as observational methods and you’ll explore methods to optimize your marketing mix; marketing mix modeling and attribution. Finally, you’ll learn to evaluate sales funnel shapes, visualize and optimize them.
This course explores Meta Marketing Analytics Tools. You’ll learn how the advertising platform works and you’ll learn to create ads using Meta Ads Manager. Then, you’ll learn how Meta reports results and how you can customize the reports to match your business goals. You’ll also learn how you can use Meta experiments to evaluate the effectiveness of your advertising campaign. You’ll learn to optimize ads with A/B testing and you will explore how you can integrate data from Meta campaigns in marketing mix modeling. In this course, you’ll also find a summary of Meta’s recommended approach to data analysis.
This course helps you prepare for the Meta Marketing Science Certification exam. You’ll be guided through scheduling and taking the exam through Meta Blueprint. You’ll get access to the study guide and other resources to help you prepare to take the exam.