Business Intelligence (BI)
Module 1: Introduction to Business Intelligence
What is Business Intelligence (BI)?
- BI Overview and Importance
- BI vs Data Science vs Data Analytics
- BI in Business Decision-Making
Components of BI
- Data Warehousing
- ETL (Extract, Transform, Load) Processes
- Data Visualization and Reporting
Module 2: BI Architecture and Process
Understanding BI Architecture
- Data Sources and Data Integration
- BI Tools and Platforms
The BI Process Lifecycle
- Data Collection
- Data Cleaning and Transformation
- Analysis and Reporting
Module 3: Data Warehousing Basics
Introduction to Data Warehousing
- What is a Data Warehouse?
- OLAP (Online Analytical Processing) vs OLTP (Online Transaction Processing)
Data Modeling Concepts
- Star Schema and Snowflake Schema
- Dimensions and Facts
ETL Processes
- Extracting Data from Multiple Sources
- Transforming and Loading Data into Data Warehouses
Module 4: Business Intelligence Tools Overview
Popular BI Tools
- Tableau, Power BI, Looker, QlikView
- SAP BusinessObjects, MicroStrategy
Comparison of BI Tools
- Key Features and Use Cases
- Selection Criteria for BI Tools
Module 5: Data Analysis and Visualization
Introduction to Data Analysis
- Exploratory Data Analysis (EDA)
- Statistical Techniques for BI
Data Visualization Basics
- Importance of Visualization in BI
- Choosing the Right Visualization for Data
Using BI Tools for Visualization
- Creating Dashboards in Power BI/Tableau
- Building Interactive Reports
Module 6: Working with Power BI
Getting Started with Power BI
- Installing and Configuring Power BI Desktop
- Connecting to Data Sources
Data Transformation in Power BI
- Power Query and Data Modeling
- Creating Relationships and Measures
Data Visualization and Dashboards
- Customizing Visuals
- Sharing and Publishing Reports
Module 7: Working with Tableau
Introduction to Tableau
- Tableau Desktop Overview
- Connecting to Data and Preparing Data
Creating Visualizations in Tableau
- Building Charts, Maps, and Dashboards
- Using Filters and Parameters
Advanced Tableau Features
- Calculated Fields and LOD Expressions
- Tableau Online and Tableau Server
Module 8: BI and Big Data
Introduction to Big Data in BI
- Understanding Big Data Concepts
- Integrating BI with Big Data Tools (Hadoop, Spark)
Working with Large Datasets
- Best Practices for BI and Big Data Integration
Module 9: Advanced BI Concepts
Predictive Analytics in BI
- Using Machine Learning for BI
- Integrating Predictive Models with BI Tools
Self-Service BI
- Enabling End-Users to Explore Data
- Tools and Techniques for Self-Service BI
Real-Time BI
- Streaming Data Analysis
- Tools for Real-Time Reporting
Module 10: Implementing BI in Organizations
BI Strategy and Roadmap
- Aligning BI with Business Goals
- Setting Up BI Teams and Processes
Challenges in BI Implementation
- Data Quality and Governance Issues
- Overcoming Resistance to BI Adoption
Module 11: Real-World BI Project
End-to-End BI Implementation
- Collecting and Preparing Real-World Data
- Building Dashboards and Reports
- Presenting Insights to Stakeholders
Module 12: BI Best Practices and Career Guidance
BI Best Practices
- Ensuring Data Accuracy and Reliability
- Optimizing BI Performance
Career Guidance and Interview Preparation
- Common BI Interview Questions
- Portfolio Development with BI Projects
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