Meta
Meta Marketing Analytics Professional Certificate
Meta

Meta Marketing Analytics Professional Certificate

Launch Your Career in Marketing Analytics. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from Meta in 7 months or less. No degree or prior experience required.

Brandon Larkin
Brandi Robinson
Anke Audenaert

Instructors: Brandon Larkin

Access provided by Tallinn University of Technology

90,652 already enrolled

Earn a career credential that demonstrates your expertise
4.8

(2,631 reviews)

Beginner level

Recommended experience

7 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.8

(2,631 reviews)

Beginner level

Recommended experience

7 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your career with in-demand skills

  • Receive professional-level training from Meta
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from Meta
  • Prepare for an industry certification exam
$80,000+
median U.S. salary for Marketing Analytics
¹
48,000+
U.S. job openings in Marketing Analytics
¹

Professional Certificate - 8 course series

What you'll learn

  • How data and its measurement inform a marketing action

  • Basic principles of marketing

  • How data is collected and the regulations around its collection

Skills you'll gain

Category: Data Collection
Category: Application Programming Interface (API)
Category: Facebook
Category: Marketing Analytics
Category: Google Analytics
Category: Data Integration
Category: Data Analysis
Category: Personally Identifiable Information
Category: Analytics
Category: Digital Marketing
Category: Marketing
Category: Data-Driven Decision-Making
Category: Advertising
Category: Information Privacy
Category: Web Analytics

What you'll learn

  • Apply the data analysis process OSEMN to marketing data

  • Compare and contrast various data formats and their applications across different scenarios

  • Identify data gaps and articulate the strengths and weaknesses of collected data

Skills you'll gain

Category: Data Validation
Category: Exploratory Data Analysis
Category: Key Performance Indicators (KPIs)
Category: Data Collection
Category: Data Analysis
Category: Data Storytelling
Category: Data Cleansing
Category: Analytics
Category: Data Visualization
Category: Business Analytics
Category: Data Management
Category: Data Modeling
Category: Data Quality
Category: Generative AI
Category: Marketing
Category: Data Manipulation
Category: Business Metrics

What you'll learn

  • Clean data with spreadsheets and use common spreadsheet formulas to calculate summary statistics

  • Write foundational SQL statements and queries to extract data in spreadsheets

  • Create charts in Google Sheets and use Tableau to visualize data and use dashboards to create data visualizations

Skills you'll gain

Category: Google Sheets
Category: Tableau Software
Category: Spreadsheet Software
Category: Data Visualization Software
Category: Data Manipulation
Category: Dashboard
Category: SQL
Category: Data Storytelling
Category: Correlation Analysis
Category: Data Visualization
Category: Pivot Tables And Charts
Category: Data Analysis
Category: Statistical Analysis
Category: Exploratory Data Analysis
Category: Descriptive Statistics
Category: Marketing Analytics
Category: Data Cleansing
Python Data Analytics

Python Data Analytics

Course 422 hours

What you'll learn

  • Sort, query, and structure data in Pandas, the Python library

  • Describe how to model and interpret data using Python

  • Create basic data visualizations with Python libraries

Skills you'll gain

Category: Data Manipulation
Category: Pandas (Python Package)
Category: Programming Principles
Category: Data Cleansing
Category: Data Visualization
Category: Exploratory Data Analysis
Category: Python Programming
Category: Data Visualization Software
Category: Matplotlib
Category: Data Analysis
Category: Scripting Languages
Category: Jupyter
Category: Data Modeling
Category: Scripting
Statistics Foundations

Statistics Foundations

Course 521 hours

What you'll learn

  • The basic principles of descriptive and inferential statistics

  • Use statistical analyses to make data-driven decisions

  • How to formulate and test hypotheses and take action based on the outcome

Skills you'll gain

Category: Statistics
Category: Time Series Analysis and Forecasting
Category: Sampling (Statistics)
Category: Statistical Modeling
Category: Spreadsheet Software
Category: Regression Analysis
Category: Descriptive Statistics
Category: Bayesian Statistics
Category: Statistical Hypothesis Testing
Category: Statistical Methods
Category: Tableau Software
Category: Statistical Inference
Category: Marketing Analytics
Category: Data Analysis
Category: Statistical Analysis
Category: Analytics
Category: Probability & Statistics
Category: Data Modeling

What you'll learn

  • How to plan and forecast your marketing efforts across different channels

  • How to use marketing mix modeling and attribution to optimize your efforts

  • How to evaluate and optimize your sales funnel

Skills you'll gain

Category: Regression Analysis
Category: Key Performance Indicators (KPIs)
Category: Marketing Analytics
Category: Marketing Strategies
Category: Customer Analysis
Category: Return On Investment
Category: A/B Testing
Category: Marketing Effectiveness
Category: Unsupervised Learning
Category: Marketing Channel
Category: Sales Pipelines
Category: Target Audience
Category: Forecasting
Category: Data Analysis
Category: Advertising Campaigns
Category: Marketing
Category: Marketing Planning

What you'll learn

  • How to optimize your marketing campaign by evaluating campaign results

  • How to measure advertising effectiveness with Meta’s testing tools

  • How to implement a full advertising analysis from the hypothesis formulation to presenting results and recommendations

Skills you'll gain

Category: Advertising Campaigns
Category: Campaign Management
Category: A/B Testing
Category: Target Audience
Category: Presentations
Category: Key Performance Indicators (KPIs)
Category: Advertising
Category: Brand Awareness
Category: Marketing Analytics
Category: Marketing
Category: Data-Driven Decision-Making
Category: Facebook
Category: Data Presentation
Category: Marketing Effectiveness
Category: Data Analysis
Category: Digital Advertising
Category: Social Media Marketing
Category: Social Media Campaigns
Category: Marketing Strategies

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

Category: Social Media Marketing
Category: Interviewing Skills
Category: Professional Networking
Category: Statistical Analysis
Category: Data Analysis
Category: Registration
Category: Digital Marketing
Category: Marketing Analytics

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Build toward a degree

When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹

 

Instructors

Brandon Larkin
Meta
2 Courses32,668 learners
Brandi Robinson
2 Courses39,997 learners
Anke Audenaert
Meta
41 Courses948,317 learners

Offered by

Meta

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¹Lightcast™ Job Postings Report, United States, 7/1/22-6/30/23. ²Based on program graduate survey responses, United States 2021.