Before Week 1 Starts
Pre-Work: Analytics Cohort Introduction
To get the most out of every live and self-guided study session of this cohort, be sure to complete these activities before the first live session of Week 1, and access your training environment.
January 26 to 30
Orientation and Foundation
Begin your Analytics cohort journey with an introduction to data analytics, learn to navigate the user interface, and create, visualize, and share reports.
February 2 to 6
Data Collection and Implementation
Learn how data is collected in Adobe Analytics, understand the role and importance of the Business Requirements Document (BRD) and Solution Design Reference (SDR), and explore key implementation methods.
February 9 to 13
Analytics Four Step Methodology
Build reports and visualizations to analyze key aspects of the customer journey, including visitor acquisition, identification, activity, and retention.
February 16 to 20
Custom Components, Intelligent Alerts and Analytics Deep Dive
Learn to create and apply custom segments, calculated metrics, and date ranges. Detect and analyze anomalies using intelligent alerts and take a deep dive into Adobe Analytics four-step methodology.
February 23 to 27
Customization, Data Storytelling, Activation, and Integration in Adobe Analytics
Discover how Adobe Analytics can be tailored to meet your unique business needs, uncover the story behind your data, explore its integration with other Adobe Experience Cloud products, and learn practical, real-world data activation scenarios.
March 2 to 6
Capstone Presentations
Present your team’s final analytics solution to the cohort, share key takeaways, and explore how your peers approached similar challenges using Adobe Analytics.
March 9 to 12
Wrapping up and next steps
Prepare for certification, reflect on your learning, and celebrate your cohort achievements.
Community & Resources
Access the discussion board.
The primary space for you and your cohort to connect, share, and support each other, with guidance from your instructor throughout the program.
Contact Us
Having issues with your lab environment, or have a personal matter?
Cohort FAQs
Read frequently asked questions about cohort-based learning.