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.


Topics Covered

  • 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
  • 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

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