Under Graduate Programmes:

Bachelor of Business Administration (BBA):

B.B.A. programme at Sanskriti focuses on enhancing the ability of the students to communicate, analyze situations, take decisions using quantitative and qualitative factors and develop a holistic view of the different functional areas of business environment.

Bachelor of Business Administration (B.B.A.) is an undergraduate programme which focuses on skills like critical thinking and mental agility. The core areas of study include:
Business Environment, Principles of Management, Organizational Behavior, Financial Accounting, Business Statistics, E-Commerce, Marketing Management, managerial Economics, Business Laws, Cost Accounting, Decision Support System, Company Law, Financial Management, Services Management etc.

Career Scope:

After completion of B.B.A. programme, an individual can pursue a career in the following fields:

  • Banking
  • Investments
  • Equity Research Analysist
  • Financial Accounting & Auditing
  • Auditing & Cost Accounting, etc.

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Sem - I (First Year)

Sem - III (Second Year)

Sem - V (Third Year)

Sem - VII (Fourth Year)

Sem - VIII (Fourth Year)

Organizational Behavior

COURSE OUTCOMES:

CO1: Understand the key concepts and applications of Business Intelligence.

CO2: Demonstrate the ability to import, clean, and model data using Power BI.

CO3: Create insightful dashboards and reports to support managerial decisions.

CO4: Apply BI tools for solving real-world business problems through case studies and live data.

COURSE CONTENT:

UNIT I: INTRODUCTION TO BUSINESS INTELLIGENCE [6 SESSIONS]

Definition and evolution of BI, BI vs. Data Analytics vs. Data Science, BI architecture and components, Role of BI in

decision-making, Real-life applications of BI across industries, Case Study: BI in e-commerce and banking.

UNIT II: INTRODUCTION TO POWER BI DESKTOP [6 SESSIONS]

Getting started with Power BI, Installing and navigating Power BI Desktop, Power BI ecosystem (Power BI Desktop,

Service, Mobile), Importing data from multiple sources (Excel, CSV, SQL, Web), Overview of data transformation using

Power Query.

UNIT III: DATA MODELLING AND DAX IN POWER BI [8 SESSIONS]

Data modelling basics: relationships, star and snowflake schema, Creating calculated columns, measures, and KPIs,

Introduction to DAX (Data Analysis Expressions), Commonly used DAX functions for aggregation, time intelligence, filters,

etc., Managing model performance.

UNIT IV: DATA VISUALIZATION AND REPORT BUILDING [10 SESSIONS]

Best practices in data visualization, Creating bar, line, pie charts, matrix, slicers, etc., Using themes, filters, tooltips, and

bookmarks, Drill through, drill-down, and interactive reports, Designing dashboards for specific business functions (Sales,

HR, Finance).

UNIT V: PUBLISHING, SHARING, AND BI ETHICS [15 SESSIONS]

Publishing reports to Power BI Service, Sharing and collaborating on dashboards, Row-level security (RLS), Data privacy,

governance, and ethical use of BI, Introduction to AI Visuals and Power BI Q&A, Capstone Mini Project: Build an

interactive BI report using real-world data (Student-led).

PRACTICAL / LAB WORK [15 SESSIONS]

Hands-on sessions using Power BI, Individual and group assignments, Weekly lab assessments, Industry-based case

simulations, Final dashboard presentation and viva

SUGGESTED READING:

1. Devin Knight et al. (2021). Microsoft Power BI Quick Start Guide. Packt.

2. Brett Powell (2022). Mastering Microsoft Power BI. Packt.

3. Anurag Singh (2023). Data Analytics using Power BI. BPB Publications.

4. Ramesh Sharda et al. (2021). Business Intelligence: A Managerial Approach. Pearson.

5. Greg Deckler (2022). Power BI Cookbook. Packt.