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Anke Audenaert

This course helps you prepare for the Meta Marketing Science Certification exam. You’ll be guided through scheduling and taking the exam through Meta Blueprint. You’ll get access to the study guide and other resources to help you prepare for the exam.

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This course helps you prepare for the Meta Marketing Science Certification exam. You’ll be guided through scheduling and taking the exam through Meta Blueprint. You’ll get access to the study guide and other resources to help you prepare for the exam.

This course is only accessible to learners who have successfully completed Course 1: Marketing Analytics Foundation, Course 2: Introduction to Data Analytics, Course 3: Data Analysis with Spreadsheets and SQL, Course 4: Python Data Analytics, Course 5: Statistics for Marketing, Course 6: Data Analytics for Marketing and Course 7: Marketing Analytics with Meta in this program.

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What's inside

Syllabus

Prepare for and Take the Meta Marketing Science Certification Exam
You will register for, prepare for, and take the Meta Marketing Science Certification Exam.
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Career Support and Congratulations!
To finish out the program, here are some helpful interview tips for getting your next job.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Prepares learners for a third-party certification in the marketing science
Is part of a longer program, indicating a comprehensive focus on marketing
Offers career support to assist learners with job placement after course completion
Requires learners to have a strong foundation in marketing analytics
Requires learners to purchase additional resources to participate in the course, such as the study guide

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Meta Marketing Science Certification Exam with these activities:
Review basic statistics and probability concepts
Refresh your knowledge of statistical and probability concepts to ensure you have a solid foundation for the course's analytical techniques.
Browse courses on Statistics
Show steps
  • Review your notes or reference materials on basic statistics.
  • Solve practice problems to test your understanding.
Practice data analysis using spreadsheets
Sharpen your skills in data manipulation, analysis, and visualization using spreadsheets, a fundamental tool in marketing analytics.
Browse courses on Data Analysis
Show steps
  • Find practice datasets online or create your own.
  • Import the data into a spreadsheet and clean it.
  • Perform data analysis and visualization using formulas and charts.
Engage in peer discussions on marketing analytics topics
Connect with fellow learners, exchange perspectives, and collectively deepen your understanding of marketing analytics concepts through discussions.
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  • Join or create a peer discussion group or forum.
  • Identify topics for discussion and research relevant materials.
  • Present your insights, engage in discussions, and seek feedback.
Two other activities
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Show all five activities
Contribute to open-source marketing analytics projects
Gain hands-on experience and make meaningful contributions to the marketing analytics community by participating in open-source projects.
Browse courses on Data Science Projects
Show steps
  • Find open-source marketing analytics projects on platforms like GitHub.
  • Review the project documentation and identify areas where you can contribute.
  • Contact the project maintainers and express your interest in contributing.
Develop a marketing analytics case study
Apply your newfound knowledge and skills to a real-world marketing scenario, showcasing your ability to analyze data and make data-driven recommendations.
Browse courses on Data-Driven Marketing
Show steps
  • Identify a marketing problem or opportunity and gather relevant data.
  • Analyze the data using appropriate statistical and visualization techniques.
  • Develop data-driven insights and recommendations.
  • Present your case study in a written report or presentation.

Career center

Learners who complete Meta Marketing Science Certification Exam will develop knowledge and skills that may be useful to these careers:
Marketing Analyst
A Marketing Analyst uses data to understand marketing performance and consumer behavior. This course may be useful for Marketing Analysts because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Marketing Analysts prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Artificial Intelligence Engineer
An Artificial Intelligence Engineer builds and deploys artificial intelligence models. This course may be useful for Artificial Intelligence Engineers because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Artificial Intelligence Engineers prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Data Scientist
A Data Scientist uses data to solve business problems and make better decisions. This course may be useful for Data Scientists because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Data Scientists prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. This course may be useful for Machine Learning Engineers because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Machine Learning Engineers prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Business Analyst
A Business Analyst uses data and analysis to improve business processes and make better decisions. This course may be useful for Business Analysts because it can help them build a foundation in data analysis, statistics, and marketing analytics. This course can also help Business Analysts prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Data Engineer
A Data Engineer builds and maintains data pipelines. This course may be useful for Data Engineers because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Data Engineers prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. This course may be useful for Data Analysts because it can help them build a foundation in data analysis, statistics, and marketing analytics. This course can also help Data Analysts prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Search Engine Optimization (SEO) Specialist
A Search Engine Optimization (SEO) Specialist is responsible for optimizing websites for search engines. This course may be useful for SEO Specialists because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help SEO Specialists prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Market Researcher
A Market Researcher conducts research to understand consumer behavior and market trends. This course may be useful for Market Researchers because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Market Researchers prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Social Media Manager
A Social Media Manager is responsible for creating and managing social media content. This course may be useful for Social Media Managers because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Social Media Managers prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Digital Marketing Specialist
A Digital Marketing Specialist is responsible for planning and executing digital marketing campaigns. This course may be useful for Digital Marketing Specialists because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Digital Marketing Specialists prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Marketing Manager
A Marketing Manager plans and executes marketing campaigns to promote products or services. This course may be useful for Marketing Managers because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Marketing Managers prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Product Manager
A Product Manager is responsible for the development and launch of new products or features. This course may be useful for Product Managers because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Product Managers prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Sales Manager
A Sales Manager is responsible for leading a team of sales representatives and achieving sales goals. This course may be useful for Sales Managers because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Sales Managers prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for Software Engineers because it can help them build a foundation in marketing analytics, data analysis, and statistics. This course can also help Software Engineers prepare for the Meta Marketing Science Certification exam, which can demonstrate their skills and knowledge in this field.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Meta Marketing Science Certification Exam.
Provides a theoretical foundation in marketing science and discusses the steps involved in designing and conducting marketing research studies. It valuable reference for understanding the principles and frameworks used in marketing science.
Provides a comprehensive overview of marketing concepts and strategies. It useful reference for understanding the broader context of marketing science and its application in practice.
Introduces the fundamental concepts of data science and provides practical guidance on how to use data to solve business problems. It valuable reference for understanding the role of data in marketing science.
Provides hands-on experience with using Excel to analyze marketing data. It useful reference for developing practical skills in data analysis and visualization.
Covers the principles of marketing research and provides practical guidance on how to conduct research studies. It valuable reference for understanding the methods and techniques used in marketing science.
Introduces the Bayesian approach to data analysis and provides practical guidance on how to use Bayesian methods to solve real-world problems. It valuable reference for understanding the theoretical and practical aspects of Bayesian analysis.
Provides a comprehensive overview of marketing metrics and their use in measuring marketing performance. It valuable reference for understanding the different types of metrics and how to use them effectively.
Provides practical guidance on how to create effective data visualizations for marketing analysis. It valuable reference for understanding the principles and best practices of data visualization.
Provides creative and low-cost marketing strategies for small businesses and entrepreneurs. It valuable reference for understanding the principles and tactics of guerrilla marketing.

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