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Industry Academia Collaboration
Data Analytics Lab

Department of Computer Science (AI & DS)

See the story in the numbers. Turn data into decisions.

About the Industry Partner — Board Infinity

Board Infinity is a career intelligence platform that designs education backwards from employment — every curriculum begins with what hiring managers need. Their trainers bring real analytical scenarios, live datasets, and current tool proficiency directly into the classroom. Through their partnership with KGCAS, they deliver the full Data Analytics Lab curriculum across four active semesters, followed by internship and placement support.

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About the Data Analytics Lab

An industry-powered lab exclusively for B.Sc. Computer Science (AI&DS) students, run entirely by Board Infinity professionals. Students progress through data science fundamentals, Advanced Excel, Generative AI, and a full BI lab using Power BI and Tableau — culminating in an industry internship and dedicated placement support.

Why This Course?

Industry trainers deliver every session — curriculum mapped to live hiring demand

Structured path: Data Literacy → Advanced Excel → Generative AI → Power BI & Tableau

Generative AI integrated from Semester III — ahead of the analytics curve

Graduates leave with a dashboard portfolio, internship record, and industry certifications

Board Infinity's network directly connects students with data and business analyst roles

Innovation Labs at a Glance

Semester Focus Area
Semester I Data Literacy and Fundamentals of Data Science
Semester II Advanced Excel for Data Analytics
Semester III Introduction to Generative AI
Semester IV Business Intelligence Lab
Semester V Industry Internship
Semester VI Placement Support

Course curriculum

I
Semester I
Data Literacy and Fundamentals of Data Science
What is data science — the data ecosystem, data types, and the analytics mindset
Data collection, sourcing, and quality assessment
Statistics for data science — mean, median, variance, distributions, and probability
Introduction to Python for data handling — Pandas, NumPy, and basic scripting
Data cleaning and preprocessing — handling missing values, outliers, and inconsistencies
Communicating with data — basic chart types and visual storytelling principles
II
Semester II
Advanced Excel for Data Analytics
Advanced Excel functions— VLOOKUP, INDEX-MATCH, nested formulas, and array functions
Pivot tables and pivot charts for data summarisation and reporting
Data validation, conditional formatting, and dynamic dashboards in Excel
Scenario analysis, goal seek, and what-if tools for analytical decision-making
Excel-based statistical analysis and data modelling fundamentals
III
Semester III
Introduction to Generative AI
What is generative AI— large language models, diffusion models, and the GenAI landscape
Prompt engineering — writing effective prompts for analytical and business tasks
Using generative AI tools for data summarisation, report generation, and insight extraction
AI ethics, bias, and responsible use of AI in data-driven environments
Applications of generative AI in business analytics, marketing, and operations
Hands-on exploration of current GenAI platforms and tools
IV
Semester IV
Business Intelligence Lab
Introduction to business intelligence — strategy, tools, and the BI lifecycle
Power BI — data import, transformation, DAX formulas, and dashboard creation
Tableau — connecting data sources, building visualisations, and publishing dashboards
KPI design and performance metric frameworks
Storytelling with data — designing dashboards for executive and operational audiences
Capstone project — a complete BI dashboard and analytical report for a real or simulated business scenario
V
Semester V
Industry Internship
Placement at a data analytics firm, technology organisation, or business intelligence team
Application of analytics, generative AI, and BI skills in a real workplace
Mentored and monitored by Board Infinity trainers and college coordinators
VI
Semester V
Placement Support
Resume building, portfolio preparation, and professional profile development
Mock interviews — analytical aptitude, tool-based assessments, and HR rounds
Communication and workplace readiness training
Active placement facilitation through Board Infinity's industry network

Certifications & Outcomes

Students completing the lab are prepared for industry-relevant certifications in data analytics, Power BI, Tableau, and generative AI, communicated at the start of each academic year.

Roles students are equipped for:

01

Data Analyst

02

Business Intelligence Analyst

03

AI Tools & Automation Associate

04

Reporting & Dashboard Analyst

05

Market Research Analyst

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