Course curriculum

  • 1

    Introduction

  • 2

    Chapter 1 - Introduction to Business Data Analytics

    • Chapter 1 - an overview

    • What is Business Data Analytics?

    • Business Data Analytics as a Movement

    • Business Data Analytics as a Capability

    • Business Data Analytics as a Data-Centric Activity Set

    • Business Data Analytics as a Decision-Making Paradigm

    • Business Data Analytics as a Set of Practices and Technologies

    • The Business Data Analytics Cycle

    • Business Data Analytics Objectives

    • Business Analysis and Business Data Analytics

    • Chapter 1 Quiz
  • 3

    Chapter 2 - Business Data Analytics Domains and Tasks

    • Chapter 2 - an overview

    • Identify the Research Questions

    • Define Business Problem or Opportunity

    • Identify and Understand the Stakeholders

    • Assess Current State

    • Define Future State

    • Formulate Research Questions

    • Plan Business Data Analytics Approach

    • Select Techniques for Identifying Research Questions

    • A Case Study for Identifying Research Questions

    • Source Data

    • Plan Data Collection

    • Determine the Data Sets

    • Collect Data

    • Validate Data

    • Use Results to Influence Business Decision-Making

    • Recommend Actions

    • Develop Implementation Plan

    • Manage Change

    • Select Techniques for Use Results to Influence Business Decision-Making

    • A Case Study for Use Results to Influence Business Decision-Making

    • Guide Organizational-Level Strategy for Business Data Analytics

    • Organizational Strategy

    • Talent Strategy

    • Data Strategy

    • Select Techniques for Guide Organizational-Level Strategy for Business Data Analytics

    • Underlying Competencies for Guide Organizational-Level Strategy for Business Data Analytics

    • A Case Study for Guide Organizational-Level Strategy for Business Data Analytics

    • Chapter 2 Quiz
  • 4

    Chapter 3: Techniques

    • Chapter 3 - an overview

    • Business Simulation

    • Business Visualizations

    • Concept Modelling

    • Data Dictionary

    • Data Flow Diagrams

    • Data Mapping

    • Data Storytelling

    • Decision Modelling and Analysis

    • ETL (Extract, Transform, Load)

    • Hypothesis Testing

    • Descriptive and Inferential Statistics

    • Exploratory Data Analysis (EDA)

    • Hypothesis Formulation and Testing

    • Interface Analysis

    • Optimization

    • Problem Shaping and Reframing

    • Stakeholder List, Map, or Personas

    • Surveys and Questionnaires

    • Technical Visualizations

    • The Big Idea

    • 3-Minute Story
  • 5

    Recap and Final Exam

    • Summary and Recap

    • Final Practice Exam