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

(2,528 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

(2,528 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

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
Coursera Career Certificate

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Coursera Career Certificate

Professional Certificate - 8 course series

Marketing Analytics Foundation

Course 111 hours4.8 (2,157 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: Advertising
Category: Google Analytics
Category: Application Programming Interface (API)
Category: Web Analytics
Category: Customer Data Management
Category: Data Collection
Category: Information Privacy
Category: Regulation and Legal Compliance
Category: Marketing
Category: Data-Driven Decision-Making
Category: Digital Marketing
Category: Marketing Strategies
Category: Analytics
Category: Personally Identifiable Information

Introduction to Data Analytics

Course 217 hours4.8 (806 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 Collection
Category: Data Modeling
Category: Data Storytelling
Category: Key Performance Indicators (KPIs)
Category: Data Cleansing
Category: Data Visualization
Category: Data Validation
Category: Exploratory Data Analysis
Category: Data Quality
Category: Data Analysis
Category: Generative AI
Category: Business Metrics
Category: Data Manipulation
Category: Analytics

Data Analysis with Spreadsheets and SQL

Course 326 hours4.6 (214 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: Tableau Software
Category: Google Sheets
Category: SQL
Category: Data Manipulation
Category: Data Storytelling
Category: Dashboard
Category: Spreadsheet Software
Category: Data Visualization Software
Category: Correlation Analysis
Category: Descriptive Statistics
Category: Excel Formulas
Category: Data Cleansing
Category: Data Analysis
Category: Statistical Analysis
Category: Exploratory Data Analysis

Python Data Analytics

Course 422 hours4.3 (191 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: Data Cleansing
Category: Data Visualization Software
Category: Exploratory Data Analysis
Category: Programming Principles
Category: Regression Analysis
Category: Matplotlib
Category: Data Analysis
Category: Data Import/Export
Category: Jupyter

Statistics Foundations

Course 521 hours4.7 (323 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: Time Series Analysis and Forecasting
Category: Sampling (Statistics)
Category: Descriptive Statistics
Category: Statistical Modeling
Category: Regression Analysis
Category: Spreadsheet Software
Category: Bayesian Statistics
Category: Data Modeling
Category: Statistical Analysis
Category: Tableau Software
Category: Statistical Hypothesis Testing
Category: Probability & Statistics
Category: Data Analysis
Category: Statistical Methods
Category: Descriptive Analytics
Category: Statistical Inference
Category: Analytics
Category: Quantitative Research
Category: Marketing Analytics

Data Analytics Methods for Marketing

Course 612 hours4.7 (264 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: Data Analysis
Category: Marketing Analytics
Category: Marketing Strategies
Category: A/B Testing
Category: Marketing Planning
Category: Advertising
Category: Customer Insights
Category: Target Audience
Category: Marketing Effectiveness
Category: Forecasting
Category: Sales Process

Marketing Analytics with Meta

Course 713 hours4.8 (225 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: A/B Testing
Category: Marketing Analytics
Category: Advertising Campaigns
Category: Facebook
Category: Brand Awareness
Category: Key Performance Indicators (KPIs)
Category: Data Presentation
Category: Advertising
Category: Target Audience
Category: Campaign Management
Category: Data-Driven Decision-Making
Category: Marketing Effectiveness
Category: Presentations
Category: Performance Metric
Category: Marketing Strategies
Category: Marketing
Category: Data Analysis

Meta Marketing Science Certification Exam

Course 81 hour4.7 (206 ratings)

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

Instructors

Brandon Larkin
Meta
2 Courses25,371 learners
Brandi Robinson
2 Courses33,857 learners
Anke Audenaert
Meta
40 Courses842,522 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.