Marketing Analyst   

Welcome to the Marketing Analyst Career Academy. This comprehensive program is designed to equip aspiring marketing analysts with the essential skills and knowledge needed to excel in the dynamic world of marketing. Through this curriculum, you'll learn how to harness data from digital channels to create effective marketing strategies and drive campaign performance.

Throughout this program, you'll master a wide array of digital marketing tools and techniques, including data visualization, audience segmentation, campaign optimization, and the fundamentals of data-driven marketing decisions. You’ll gain proficiency in industry-standard analytics platforms, including Google Analytics 4, Meta Ads Manager, Google Ads, and Excel for advanced data manipulation. The program focuses on building real-time dashboards, tracking KPIs, and generating performance reports to monitor campaign success. You’ll also explore statistical methods and tools like SQL and Python for deeper data analysis.

By the end of this program, you’ll be equipped to analyze marketing data, derive actionable insights, and create data-driven strategies that align with business goals, preparing you for a successful career as a marketing analyst. The Marketing Analyst Career Academy includes the Meta Marketing Analytics Professional Certificate, and theUnilever Digital Marketing Analyst Professional Certificate as well as and 2 Guided Projects:

• Create a value proposition canvas in Miro
• Simple Linear Regression for the Absolute Beginner

The course combines video lectures, interactive labs, and real-world projects to ensure you not only learn but apply your knowledge effectively. With guided assessments and feedback, you will build a robust portfolio that showcases your skills to potential employers.

Powered by Coursera

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.

Powered by Coursera

With an expected growth rate of 18%, there hasn’t been a better time to enter the field of digital marketing analytics. In this program, you’ll learn in-demand skills like data analysis, customer segmentation, and SEO optimization to get job-ready in less than 4 months, with no prior experience needed.

Digital marketing analysts are responsible for collecting and interpreting data to evaluate the performance of digital marketing efforts, improve strategies, and contribute to achieving marketing goals and objectives.

This program will teach you the essential tasks, analytics, tools, and methodologies utilized by entry-level analysts. You’ll gain experience through hands-on projects, and apply your skills effectively in real-world scenarios.

 By the end of this program, you’ll be able to:

• Describe fundamental marketing concepts such as customer personas, customer segmentation, marketing funnels, and value propositions. 

• Apply marketing planning frameworks to prove a structured approach to developing, implementing and evaluating digital marketing strategies. 

• Segment customers and create customer journey maps. 

• Utilize web analytics, specifically Google Analytics 4 to perform SEO analysis, create custom reports, and design conversion events.

• Use data storytelling techniques to present insights. 

• Describe data-driven marketing strategies. 

• Assess and optimize ROI.

• Enhance campaign performance through ongoing analysis.

Powered by Coursera

In this 2 hours long project you will create a business value proposition canvas in Miro, categorizing business products, services and features by company pillars, mapping customer gains, pains and tasks with product, adding a competitor comparison and finally exporting slides, PDF and images. You will use frames, sticky notes, shapes and colors, and explore business concepts to create a value proposition team work.

Powered by Coursera

Hello everyone and welcome to this hands-on guided project on simple linear regression for the absolute beginner. In simple linear regression, we predict the value of one variable Y based on another variable X. X is called the independent variable and Y is called the dependent variable. This guided project is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your next job interview.

Powered by Coursera