Skills Gained
By the end of this workshop, you will be able to:
• Understand and learn the established business analysis practices in data analytics initiatives that are outlined in the Guide to Business Data Analytics
• Gain competence in the 6 Business Data Analytics Domains
• Master the terminologies used in the Guide to Business Data Analytics
• Acquire sound understanding of the role, competencies and skillsets required to become an effective and result- oriented business analyst in analytics initiatives
• Learn how to manage stakeholders effectively
• Gain practical insights into the principles and practices of business data analytics
• Learn how to identify and apply various tools, techniques and competencies in analytics initiatives for creating better business outcomes through evidence-driven business decisions
• Be able to demonstrate continued dedication to the profession through recertification requirements.
Introduction to Data Science and analytics
Use cases in Data Science and analytics
Data Science life cycle
Data analytics: Types
Artificial Intelligence and Machine Learning: Overview
CBDA: Overview
What is business data analytics?
Eligibility criteria
Six business data analytics domains
Business analysis in data analytics projects
Comparison between business analysis and data analytics
Defining business problems or opportunities
Identifying and understanding stakeholders
Current state assessment
Defining the future state
Formulation of research questions
Planning the business data analytics approach
Selection of techniques for the identification of research questions
Data collection planning
Determination of datasets
Data collection
Data validation
Developing a data analysis plan
Data preparation
Data exploration
Performing data analysis
Assessment of the analytics and system approach
Validating the understanding of stakeholders
Planning for stakeholder communication
Determining the communication requirements of the stakeholders
Deriving insights from data
Documentation and communication of findings from the completed analysis
Selection of techniques for interpreting and reporting results
Action recommendation
Implementation plan development
Change management
Organizational strategy
Talent strategy
Data strategy
Business simulation
Business visualization
Concept modeling
Data dictionary
Data flow diagrams
Data mapping
Data storytelling
Decision modeling and analysis
Descriptive and inferential statistics
Extract, Transform, and Load (ETL)
Exploratory data analysis
Hypothesis formulation and testing
Interface analysis
Optimization
Problem shaping and reframing
Stakeholder list, map, and personas
Survey and questionnaire
Technical visualizations
The big idea
3-minute story
