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Meta Marketing Analytics
Coursera
Professional Certificate
Unknown

Meta Marketing Analytics

Meta

An eight-course program teaching in-demand technical skills for marketing data analysis and campaign optimization. No prior experience required.

UnknownEnglish

About this Course

This eight-course program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary. Developed by marketing analytics experts at Aptly and Meta, and designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more. You’ll learn basic marketing principles, how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach common analytics questions. You’ll learn how to use essential tools like spreadsheets, SQL, and Python to collect, connect, and analyze relevant data. You’ll apply common statistical methods used to segment audiences, evaluate campaign results, optimize the marketing mix and evaluate sales funnels. Throughout the program, you'll gain proficiency in visualizing data using Tableau and how to use Meta Ads Manager to create campaigns, evaluate results, and run experiments to optimize your campaigns. You'll have the opportunity to apply your new skills in hands-on, industry-specific projects. The final course prepares you for the Meta Marketing Science Professional Certification exam. Upon successful completion of the program, you'll earn a certificate of completion from Coursera. If you opt to take and pass the Meta Marketing Science Professional Certification exam, you will also earn the Meta Marketing Science Professional Certificate

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

Prerequisites

  • No deep prior experience is required, but basic computer and internet skills are helpful
  • Ability to read course instructions in English and complete short practice activities

Instructors

B

Brandon Larkin

Deputy CIO

B

Brandi Robinson

Learning Architect

A

Anke Audenaert

CEO & Co-Founder Aptly, Adj. Professor, UCLA Anderson School of Management

V

Victor Geislinger

Data Scientist

Topics

Marketing
Business
Data Analysis
Data Science
A/B Testing
Bayesian Statistics
Business Metrics
Data Cleansing
Data Collection
Data Presentation

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

التسويق
الأعمال
تحليل البيانات
علوم البيانات
اختبار A/B
الإحصاء البايزي
مقاييس الأعمال
تنظيف البيانات
Data Collection
Data Presentation

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