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

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Earn a career credential that demonstrates your expertise
4.7

(2,465 reviews)

Beginner level

Recommended experience

7 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.7

(2,465 reviews)

Beginner level

Recommended experience

7 months
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

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
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$80,000+
median U.S. salary for Marketing Analytics
¹
48,000+
U.S. job openings in Marketing Analytics
¹
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Earn a career certificate

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Professional Certificate - 8 course series

Marketing Analytics Foundation

Course 111 hours4.8 (2,097 ratings)

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: Marketing Analytics
Category: Information Privacy
Category: Application Programming Interface (API)
Category: Facebook
Category: Advertising
Category: Google Analytics
Category: Data-Driven Decision-Making
Category: Marketing Strategies
Category: Web Analytics
Category: Data Collection
Category: Marketing
Category: Regulation and Legal Compliance
Category: Digital Marketing
Category: Personally Identifiable Information

Introduction to Data Analytics

Course 217 hours4.8 (743 ratings)

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

Data Analysis with Spreadsheets and SQL

Course 326 hours4.6 (194 ratings)

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: Data Manipulation
Category: Data Storytelling
Category: Dashboard
Category: Spreadsheet Software
Category: Correlation Analysis
Category: SQL
Category: Data Analysis
Category: Data Visualization Software
Category: Excel Formulas
Category: Data Cleansing
Category: Descriptive Statistics
Category: Exploratory Data Analysis
Category: Statistical Analysis
Category: Marketing Analytics

Python Data Analytics

Course 422 hours4.4 (178 ratings)

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: Python Programming
Category: Regression Analysis
Category: Exploratory Data Analysis
Category: Data Visualization Software
Category: Data Cleansing
Category: Programming Principles
Category: Jupyter
Category: Data Analysis
Category: Matplotlib
Category: Data Import/Export

Statistics Foundations

Course 521 hours4.7 (303 ratings)

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

Data Analytics Methods for Marketing

Course 612 hours4.7 (257 ratings)

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: A/B Testing
Category: Data Analysis
Category: Marketing Strategies
Category: Marketing Analytics
Category: Target Audience
Category: Marketing Planning
Category: Customer Insights
Category: Advertising
Category: Marketing Effectiveness
Category: Sales Process
Category: Forecasting

Marketing Analytics with Meta

Course 713 hours4.8 (217 ratings)

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

Meta Marketing Science Certification Exam

Course 81 hour4.7 (192 ratings)

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

Category: Statistics
Category: Analytics
Category: Marketing
Category: Data Analysis
Category: Marketing Analytics
Category: Digital Marketing
Category: Interviewing Skills

Instructors

Brandon Larkin
Meta
2 Courses22,377 learners
Brandi Robinson
2 Courses31,361 learners
Anke Audenaert
Meta
40 Courses814,381 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.