Syllabus

I: Business Analytics Foundations and Frameworks

Introduction to Business Analytics

  1. Introduction to Business Analytics: Descriptive, Predictive, and Prescriptive
  2. Analytics Maturity Model and Organizational Readiness
  3. Data-Driven vs. Intuition-Based Decision Making
  4. Analytics Project Lifecycle: CRISP-DM Methodology

Data Foundations and Quality

  1. Data Types: Structured, Unstructured, Internal, and External
  2. Data Quality Assessment
  3. Ethics in Analytics: Privacy, Bias, and Responsible Use

Strategy and Performance Measurement

  1. Building a Data Strategy: Governance, Architecture, and Culture
  2. Key Performance Indicators and Business Metrics Framework
  3. ROI Calculations for Analytics Initiatives

II: Visualization Design for Business Audiences

Visualization Foundations

  1. Principles of Effective Data Visualization
  2. Visual Perception and Information Processing
  3. Chart Types and Their Use Cases

Design Elements

  1. Color Theory and Accessibility in Visualizations
  2. Typography and Layout Design
  3. Interactive vs. Static Visualizations

Dashboard Design and Common Pitfalls

  1. Dashboard Design Principles and Best Practices
  2. Avoiding Common Visualization Mistakes
  3. Cultural Considerations in Global Business Visualization

III: Data Analysis for Strategic Insights

Data Collection and Sources

  1. Data Collection Methods: Surveys, Web Scraping, APIs, and Databases
  2. Primary vs. Secondary Data Sources

Data Preparation and Integration

  1. Data Cleaning Techniques
  2. Data Transformation: Normalization, Standardization, and Aggregation
  3. Data Integration Challenges and Solutions
  4. Introduction to Data Warehousing and Data Lakes

Exploratory Data Analysis

  1. Exploratory Data Analysis Techniques and Workflows
  2. Statistical Profiling and Pattern Recognition
  3. Correlation Analysis and Relationship Identification
  4. Time Series Data and Seasonality Detection

IV: Tableau, Power BI, and Excel Mastery

Tableau Proficiency

  1. Tableau Proficiency and Data Connections
  2. Calculated Fields and Parameters in Tableau
  3. Advanced Tableau Charts and Custom Visualizations
  4. Interactive Tableau Dashboards with Filters and Actions
  5. Tableau Server and Sharing Strategies

Power BI Integration

  1. Power Query for Data Transformation
  2. DAX (Data Analysis Expressions) Fundamentals
  3. Power BI Measures and Calculated Columns
  4. Power BI Service and Collaboration Features
  5. Power BI Integration with Microsoft Ecosystem

Advanced Excel Analytics

  1. Power Pivot and Excel Data Modeling
  2. Advanced Excel Charting and Conditional Formatting
  3. What-If Analysis and Scenario Modeling
  4. Macro Basics for Excel Automation

Business Intelligence Architecture

  1. ETL Processes and Data Pipelines
  2. Data Warehousing Concepts for BI
  3. Real-Time Analytics and Streaming Data
  4. Mobile BI and Responsive Design

V: Visual Storytelling and Industry Applications

Storytelling and Functional Analytics

  1. Storytelling with Data: Narrative Structure and Flow
  2. Marketing Analytics: Segmentation, Campaigns, and Attribution
  3. Financial Analytics: Risk, Fraud, and Performance

Operations, HR, and Sales Analytics

  1. Operations Analytics: Supply Chain and Forecasting
  2. HR Analytics: Talent, Retention, and Performance
  3. Sales Analytics: Pipeline, Territory, and Pricing

Industry-Specific Applications

  1. Retail Analytics: Customer Journey and Inventory
  2. Healthcare Analytics: Patient Outcomes and Operations
  3. Financial Services Analytics: Credit Risk and Compliance
  4. Manufacturing Analytics: Predictive Maintenance and Quality
  5. Technology Analytics: User Behavior and A/B Testing