Business Intelligence

Step into roles like data analyst or BI consultant, driving business strategy through data insights.

Overview
COURSE DESCRIPTION

The 12-week Business Intelligence course equips students with the skills to analyze data, create reports, and drive decision-making using BI tools like Power BI, Tableau, and SQL. Learn data visualization, dashboard creation, and data modeling for business insights.

CERTIFICATION

Upon course completion, students will be proficient in BI tools and techniques, enabling them to provide actionable insights for businesses.

LEARNING OUTCOMES
    Master data visualization and reporting with Power BI and Tableau.
    Learn to write SQL queries for data extraction and manipulation.
    Build dynamic dashboards and data models for businesses.
    Suitable for beginners and professionals aiming to improve their data analysis skills.
Curriculum

Business Intelligence

Step into roles like data analyst or BI consultant, driving business strategy through data insights.

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