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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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/onbd74/meta
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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.
Read more
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.
Read more
Career Support and Congratulations!
To finish out the program, here are some helpful interview tips for getting your next job.
Good to know
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
Save this course
Save Meta Marketing Science Certification Exam to your list so you can find it easily later:
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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
Show steps
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
Show steps
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
Show steps
Connect with fellow learners, exchange perspectives, and collectively deepen your understanding of marketing analytics concepts through discussions.
Show steps
-
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
Expand to see all activities and additional details
Show all five activities
Contribute to open-source marketing analytics projects
Show steps
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
Show steps
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.
Review basic statistics and probability concepts
Show steps
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
Show steps
Show steps
- Review your notes or reference materials on basic statistics.
- Solve practice problems to test your understanding.
Practice data analysis using spreadsheets
Show steps
Sharpen your skills in data manipulation, analysis, and visualization using spreadsheets, a fundamental tool in marketing analytics.
Browse courses on
Data Analysis
Show steps
Show steps
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
Show steps
Connect with fellow learners, exchange perspectives, and collectively deepen your understanding of marketing analytics concepts through discussions.
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all five activities
Contribute to open-source marketing analytics projects
Show steps
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
Show steps
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
Show steps
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
Show steps
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
For more career information including salaries, visit:
OpenCourser.com/course/onbd74/meta
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.
Save
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.
Save
Provides hands-on experience with using Excel to analyze marketing data. It useful reference for developing practical skills in data analysis and visualization.
Save
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.
Save
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.
Provides a set of timeless principles for successful marketing. It valuable reference for understanding the fundamental concepts of marketing and how to apply them in practice.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/onbd74/meta
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Effort
2 weeks of study/2-3 hours per week
Level
Introductory
Via
Coursera
Institution
Meta
Instructor
Anke Audenaert
Language
English
Transcripts
Español
Français
Português
Deutsch
العربية
Ελληνικά
magyar nyelv
Bahasa Indonesia
ไทย
اُردُو,
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آذربایجان دیلی
Good to know
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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