Data Visualization and Reporting in BI
( 30 Modules )

Module #1
Introduction to Data Visualization and Reporting
Course overview, importance of data visualization, and best practices

Module #2
BI Tools Overview
Overview of popular BI tools such as Tableau, Power BI, and QlikView

Module #3
Data Preparation for Visualization
Importance of data preparation, data cleaning, and data transformation

Module #4
Data Visualization Fundamentals
Basic principles of data visualization, human perception, and color theory

Module #5
Chart Types and When to Use Them
Introduction to common chart types (bar, line, scatter, etc.) and scenarios

Module #6
Working with Tables and Heatmaps
Effective use of tables and heatmaps for data analysis and visualization

Module #7
Geospatial Visualization
Introduction to geospatial visualization, mapping, and spatial analysis

Module #8
Interactive Visualization
Introduction to interactive visualization, drill-down, and dashboard design

Module #9
Storytelling with Data
Effective storytelling and communication of insights through data visualization

Module #10
Dashboard Design Best Practices
Design principles for effective dashboards, layout, and user experience

Module #11
Working with Large Datasets
Techniques for visualizing and working with large datasets

Module #12
Data Visualization for Specific Industries
Industry-specific data visualization techniques (e.g. finance, healthcare, retail)

Module #13
Advanced Data Visualization Topics
Advanced topics such as 3D visualization, animation, and virtual reality

Module #14
Reporting Fundamentals
Introduction to reporting, report types, and report design principles

Module #15
Report Development with BI Tools
Hands-on report development with popular BI tools

Module #16
Advanced Reporting and Analysis
Advanced reporting techniques, drill-down, and ad-hoc analysis

Module #17
Data Visualization and Reporting Best Practices
Best practices for data visualization and reporting, common mistakes to avoid

Module #18
Real-World Case Studies
Real-world examples and case studies of data visualization and reporting in BI

Module #19
Deploying and Sharing Visualizations
Deploying and sharing visualizations, web deployment, and mobile optimization

Module #20
Governance and Security in BI
Governance, security, and access control in BI environments

Module #21
Advanced Analytics and Machine Learning
Introduction to advanced analytics and machine learning in BI

Module #22
Big Data and NoSQL in Visualization
Working with big data and NoSQL databases in data visualization

Module #23
Cloud-Based BI and Visualization
Cloud-based BI and data visualization, AWS, Azure, and Google Cloud

Module #24
Collaboration and Sharing in BI
Collaboration, sharing, and shared workspaces in BI environments

Module #25
BI and Data Science Tools
Overview of data science tools (e.g. Python, R, Excel) and integration with BI

Module #26
Building a Data Visualization Team
Building and managing a data visualization team, roles, and responsibilities

Module #27
Creating a Data-Driven Culture
Creating a data-driven culture, organizational adoption, and change management

Module #28
Advanced Topics in Data Visualization
Advanced topics in data visualization, new trends, and emerging technologies

Module #29
Case Studies and Project Development
Developing a real-world project, case study, and presentation

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Data Visualization and Reporting in BI career

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Data Visualization and Reporting in BI ( 30 Modules )

Data Visualization and Reporting in BI
( 30 Modules )