BI Curriculum Lessons

Digital Connect bridges the gap between education and industry by providing cutting-edge training in five dynamic fields. The program integrates Instructor-Led Training (ILT) with Learning Management System (LMS) modules for a comprehensive learning experience. Each intensive three-month course delivers practical knowledge and hands-on experience essential for today’s digital landscape. The program also includes mentorship opportunities and a stipend.

BI Curriculum Lessons

Digital Connect bridges the gap between education and industry by providing cutting-edge training in five dynamic fields. The program integrates Instructor-Led Training (ILT) with Learning Management System (LMS) modules for a comprehensive learning experience. Each intensive three-month course delivers practical knowledge and hands-on experience essential for today’s digital landscape. The program also includes mentorship opportunities and a stipend.

S.no Lesson Name Module
1 LU1: Definition and History of BI Module 1
2 LU2: Key Components of BI
3 LU3: Importance of BI in Business
4 LU4: Overview of BI Tools
5 LU5: The Comparison of BI Tools
6 LU6: Types of Data Module 2
7 LU7: Data Sources and Databases
8 LU8: Data Collection Methods
9 LU9: Data Cleaning and Preparation
10 LU10: Data Warehousing & Components Module 3
11 LU11: ETL (Extract. Transform. Load) Process
12 LU12: Basics of SQL (Structured Query Language)
13 LU13: Introduction to Power BI Interface Module 4
14 LU14: Connecting to Data Sources in Power BI
15 LU15: Basic Data Visualization Techniques in Power BI
16 LU16: Tableau Interface
17 LU17: Connecting to Data Sources in Tableau
18 LU18: Creating Basic Visualizations in Tableau
19 LU19: Developing a BI Strategy Module 5
20 LU20: Case Studies of Successful BI Implementations
21 LU21: Measuring BI Success
22 LU22: Advanced Data Visualization Techniques in Power BI
23 LU23: Advanced Data Visualization Techniques in Tableau Module 6
24 LU24: Integrating BI Tools with Other Software
25 LU25: Real-time Data Processing in BI
26 LU26: Predictive Analytics in BI Module 7
27 LU27: Cloud-Based BI Solutions
28 LU28: Self-Service BI
29 LU29: Mobile BI
30 LU30: Ethical Considerations in BI Module 8
31 LU31: Data Security in BI
32 LU32: Future Trends in BI
33 LU33: Interactive Dashboards in Power BI Module 9
34 LU34: Storytelling with Data in Tableau
35 LU35: Collaborative BI and Team-Based Analysis
36 LU36: Overview of BI Tools