Adobe Analytics – Data Workbench Analyst

Overview

Course Content/ Exam(s)

Course Benefits

Overview

In this training programmes, Skill Dynamo provides in-depth of training for Data Workbench Analyst certification and Adobe Certified Expert (ACE) credentials for business analysts who want to become expert end users of Data Workbench.In this training programme ,you will learn concepts of decision trees, clustering, correlation, predictive scoring, cohort analysis, association and guided analysis with hands-on exercises. This course will also cover trend lines and regression in graphs, rules-based and best-fit attribution, visualizations like latency, chord, and scatter plot. This course explains the dataset schema, segment creation, filter editor, and key visualization types with emphasis on path browsers, detail tables and process maps. This course includes hands-on lab exercises, which help answer key business questions, and an exam for analyst certification.

Audience

This course is designed for data analysts, marketers, and anyone who possesses basic knowledge of digital marketing.

Course Prerequisites

Basic knowledge of digital marketing and analytics

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Course Content / Exam(s)

Schedule for Adobe Analytics – Data Workbench Analyst Training & Certification Courses

Course#	Course Name	Exam#	Duration (days)
20740B	Adobe Analytics – Data Workbench Analyst Training & Certification Courses	70-740	5

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Adobe Analytics - Data Workbench Analyst workshop Benefits

After Successful completion this course, you will be able to:-

Knowledge on the concept of Decision Trees
Design clusters based on the inputs provided
Learn the concept of Correlation Matrix
Learn to make selections and querying
Learn about the dataset schema, including the significance of different dimension types and levels
Export the correlated data into various types of visualization
Create and refine different data models to find patterns in the data
Find the propensity of achievement of a specific goal using predictive analysis
Identify and understanding and present actionable information to act on using cohort analysis
Use various visualizations to view data in different forms for comprehensive data analysis
Navigate the user interface and Perform segmentation of visitors
Implement a strategy for translating business questions into meaningful workspaces
Effectively interpret results and Configure reports for automatic distribution
Customize the user interface to meet business requirements and Use the Filter Editor
Describe and use both basic and advanced visualization types for more effective and comprehensive data analysis
Export the acquired results in various forms available in Data Workbench