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 The University of Manchester

89,323 already enrolled

Earn a career credential that demonstrates your expertise
4.8

(2,610 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

(2,610 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

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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: Google Analytics
Category: Marketing Analytics
Category: Advertising
Category: Data-Driven Decision-Making
Category: Web Analytics
Category: Personally Identifiable Information
Category: Information Privacy
Category: Digital Marketing
Category: Analytics
Category: Data Analysis
Category: Data Integration
Category: Marketing

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

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 Manipulation
Category: Data Visualization Software
Category: SQL
Category: Correlation Analysis
Category: Dashboard
Category: Data Storytelling
Category: Pivot Tables And Charts
Category: Data Cleansing
Category: Statistical Analysis
Category: Descriptive Statistics
Category: Exploratory Data Analysis
Category: Data Analysis
Category: Data-Driven Decision-Making
Category: Data Visualization
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: Pandas (Python Package)
Category: Data Manipulation
Category: Data Visualization Software
Category: Programming Principles
Category: Python Programming
Category: Matplotlib
Category: Exploratory Data Analysis
Category: Data Visualization
Category: Data Cleansing
Category: Data Modeling
Category: Jupyter
Category: Data Analysis
Category: Data Processing
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: Descriptive Statistics
Category: Sampling (Statistics)
Category: Statistics
Category: Time Series Analysis and Forecasting
Category: Spreadsheet Software
Category: Statistical Modeling
Category: Bayesian Statistics
Category: Descriptive Analytics
Category: Analytics
Category: Marketing Analytics
Category: Data Analysis
Category: Probability & Statistics
Category: Quantitative Research
Category: Statistical Hypothesis Testing
Category: Tableau Software
Category: Statistical Inference
Category: Data Modeling
Category: Statistical Analysis
Category: Statistical Methods
Category: Data Analysis Software

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

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

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

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 Courses31,061 learners
Brandi Robinson
2 Courses38,804 learners
Anke Audenaert
Meta
41 Courses925,885 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.