Meta Marketing Analytics is an intensive eight-course program offered by Meta, designed to prepare individuals for a career as a marketing analyst or to help them enhance their business analysis skills. The program covers a wide range of topics, including basic marketing principles, data-informed decision-making, and the application of the OSEMN data analysis framework.
Throughout the program, participants will delve into essential tools such as spreadsheets, SQL, and Python to collect, connect, and analyze relevant data. They will also gain proficiency in visualizing data using Tableau and utilizing Meta Ads Manager for campaign creation, evaluation, and optimization.
Upon successful completion of the program, learners will earn a certificate of completion from Coursera and a Meta Marketing Science Professional Certification. This program is suitable for individuals looking to kickstart a career as a marketing analyst or to enhance their business analysis skills, regardless of prior experience.
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The Meta Marketing Analytics program is divided into eight comprehensive courses that cover fundamental marketing principles, data analysis techniques using tools like spreadsheets, SQL, and Python, statistical methods for audience segmentation, and practical application of marketing analytics with Meta Ads Manager and Tableau. The final course prepares learners for the Meta Marketing Science Professional Certification exam.
Marketing Analytics Foundation introduces learners to the basics of marketing principles, data collection, and relevant regulations. It sets the foundation for understanding how data informs marketing decisions.
Introduction to Data Analytics guides participants through the OSEMN data analysis framework and its application to marketing data, providing a solid understanding of the data analysis process.
Data Analysis with Spreadsheets and SQL equips learners with the practical skills to use spreadsheets and SQL queries for data analysis, data visualization techniques, and the use of Tableau to visualize data.
Python Data Analytics introduces the use of Python programming language for data manipulation, exploring foundational programming principles, and utilizing the Pandas library for data analysis and visualization.
Statistics for Marketing covers Descriptive and Inferential Statistics, basic statistical modeling, and the formulation and testing of hypotheses for actionable insights.
Data Analytics Methods for Marketing focuses on planning and forecasting marketing efforts, utilizing marketing mix modeling and attribution, and optimizing sales funnels for effective marketing strategies.
Marketing Analytics with Meta delves into the practical application of marketing analytics with Meta Ads Manager, campaign planning, optimization, and sales funnel evaluation.
Meta Marketing Science Certification Exam prepares learners for the final certification exam to validate their expertise in marketing analytics and data-driven decision-making.
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