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 New York State Department of Labor

83,366 already enrolled

Earn a career credential that demonstrates your expertise
4.7

(2,521 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

(2,521 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 (2,150 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: Facebook
Category: Google Analytics
Category: Information Privacy
Category: Application Programming Interface (API)
Category: Advertising
Category: Data Collection
Category: Regulation and Legal Compliance
Category: Marketing
Category: Personally Identifiable Information
Category: Web Analytics
Category: Data-Driven Decision-Making
Category: Marketing Strategies
Category: Digital Marketing

Introduction to Data Analytics

Course 217 hours4.8 (792 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: Key Performance Indicators (KPIs)
Category: Data Modeling
Category: Data Cleansing
Category: Data Validation
Category: Data Storytelling
Category: Data Visualization
Category: Data Collection
Category: Exploratory Data Analysis
Category: Business Metrics
Category: Data Manipulation
Category: Data Analysis
Category: Generative AI
Category: Data Quality
Category: Analytics

Data Analysis with Spreadsheets and SQL

Course 326 hours4.6 (213 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: Dashboard
Category: Spreadsheet Software
Category: Data Analysis
Category: Data Visualization Software
Category: Data Storytelling
Category: Correlation Analysis
Category: Data Manipulation
Category: SQL
Category: Exploratory Data Analysis
Category: Statistical Analysis
Category: Descriptive Statistics
Category: Excel Formulas
Category: Data Cleansing

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: Pandas (Python Package)
Category: Data Manipulation
Category: Programming Principles
Category: Data Cleansing
Category: Exploratory Data Analysis
Category: Regression Analysis
Category: Python Programming
Category: Data Visualization Software
Category: Data Import/Export
Category: Matplotlib
Category: Data Analysis
Category: Jupyter

Statistics Foundations

Course 521 hours4.7 (321 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: Statistical Modeling
Category: Descriptive Statistics
Category: Data Modeling
Category: Data Analysis
Category: Marketing Analytics
Category: Statistical Methods
Category: Probability & Statistics
Category: Quantitative Research
Category: Bayesian Statistics
Category: Statistical Inference
Category: Tableau Software
Category: Analytics
Category: Statistical Hypothesis Testing
Category: Statistical Analysis
Category: Spreadsheet Software
Category: Descriptive 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: Marketing Strategies
Category: Data Analysis
Category: Marketing Analytics
Category: A/B Testing
Category: Target Audience
Category: Customer Insights
Category: Marketing Planning
Category: Advertising
Category: Forecasting
Category: Sales Process
Category: Marketing Effectiveness

Marketing Analytics with Meta

Course 713 hours4.8 (223 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

Meta Marketing Science Certification Exam

Course 81 hour4.7 (205 ratings)

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

Instructors

Brandon Larkin
Meta
2 Courses25,056 learners
Brandi Robinson
2 Courses33,585 learners
Anke Audenaert
Meta
40 Courses837,908 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.