AI - Data Analyst
Master data analysis, visualization, dashboards & AI-assisted analytics — and become the analyst companies rely on for data-driven decisions.
- Learn Modern Data Analysis + AI Tools
- Build Real Business Dashboards & Data Projects
- Mentorship from Industry Data Analysts
- Placement-Focused Internship
About Program
The AI Data Analyst Internship Program is designed for final-year VTU students who want to develop strong analytical, visualization, and AI-assisted data skills. The internship begins with foundations in Excel, SQL, and Python, then advances into Power BI dashboards, exploratory data analysis, business intelligence, and AI-driven insight generation. Students work with real-world datasets across domains and learn to clean, preprocess, analyze, and visualize data effectively. With hands-on mentorship and project-oriented learning, learners build portfolio-ready dashboards and analytical models. By the end of the program, students are job-ready for roles in data analytics, BI, data engineering (junior), and AI-assisted analysis.
Key Features
Program Content
Module 1 – Excel for Data Analytics (Beginner to Advanced)
Topics Covered:
- Excel interface & shortcuts
- Functions: SUM, IF, VLOOKUP, INDEX-MATCH
- Conditional formatting
- Pivot tables & pivot charts
- Data cleaning techniques
- Lookup operations
- Data validation
- Creating automated Excel dashboards
Module 2 - SQL for Data Analysis
Topics Covered:
- SQL basics: SELECT, WHERE, ORDER BY
- Joins: INNER, LEFT, RIGHT, FULL
- Aggregations: COUNT, SUM, AVG
- Group By & Having
- Subqueries & CTEs
- Window functions (intro)
- Data extraction from large tables
- Query optimization basics
Module 3 - Python for Data Analysis
Topics Covered:
- Python basics (variables, lists, dicts)
- Working with Jupyter Notebook
- Pandas for data manipulation
- NumPy for numerical operations
- Matplotlib & Seaborn for visualization
- Data cleaning with Pandas
- Handling missing values & outliers
- Automating basic analytics tasks
Module 4 - Exploratory Data Analysis (EDA)
Topics Covered:
- Understanding distributions & trends
- Visualizing relationships between variables
- Correlation heatmaps
- Statistical summaries
- Data profiling reports
- Outlier detection
- Identifying hidden patterns
- EDA storytelling best practices
Module 1 - Power BI for Business Intelligence
Topics Covered:
- Power BI interface
- Importing & transforming data (Power Query)
- Data modeling basics
- Creating visuals: bar, line, KPIs
- Slicers & filters
- Designing dashboards
- Publishing reports
- DAX formulas (intro)
Module 2 - Business Analytics & Domain Understanding
Topics Covered:
- Understanding KPIs across industries
- Marketing analytics (CAC, ROI, funnels)
- Finance analytics (PnL, forecasting)
- HR analytics (attrition, hiring)
- Operations analytics
- Customer segmentation
- Profitability analysis
- Case studies from real companies
Module 3 - AI for Data Analytics
Topics Covered:
- Using ChatGPT/Gemini for analysis
- Insight generation using AI
- AI-assisted EDA
- Automated summarization
- Querying data using natural language
- AI-driven forecasting
- Converting dashboards into narratives
- Building AI-assisted analytical workflows
Module 4 - Automation & Reporting
Topics Covered:
- Automating Excel tasks
- Automated PDF report generation
- Scheduling BI reports
- Building automated email reports
- Creating reusable templates
- Data refresh automation
- Documentation best practices
- End-to-end reporting workflows
Module 5 - Data Ethics, Quality & Governance
Topics Covered:
- Data quality dimensions
- Responsible AI & analytics
- Anonymization & privacy basics
- Audit trails & access control
- Compliance (GDPR/Indian DPDP intro)
- Data verification techniques
- Bias detection basics
- Importance of data governance
Module 1 - Product Thinking for Data Solutions
Topics Covered:
- Identifying real-world business problems
- Mapping data to business decisions
- Designing dashboards with purpose
- Creating problem statements
- User flow mapping for data products
- Visual storytelling with data
- Building feature requirements
Module 2 - Startup & Enterprise Use Cases
Topics Covered:
- BI in startups vs enterprises
- Data-driven product planning
- Building analytical MVPs
- Data monetization strategies
- Creating pitches with insights
- Go-to-market strategy basics
- Competitive analytics
Module 3 - Professional Growth & Data Career Skills
Topics Covered:
- Resume writing for data roles
- LinkedIn optimization
- GitHub portfolio for dashboards
- Storytelling in interviews
- Communicating insights to non-technical teams
- Email & documentation skills
- Presentation & demo techniques
Mini Projects
- Sales dashboard using Excel
- SQL-based business insights report
- EDA on a public dataset
- Customer churn basic analysis
Concepts Covered:
- Data cleaning
- Excel/SQL basics
- EDA
- KPIs
Intermediate Projects
- Power BI dashboard for Finance/HR/Marketing
- Automated reporting system
- Sentiment analysis using Python
- Forecasting using time-series data
Concepts Covered:
- BI
- EDA
- NLP basics
- Automation.
Capstone Projects
- End-to-end Business Intelligence Solution
- AI-Assisted Analytical Dashboard
- Customer Retention & Churn Analysis Platform
- ML-powered Data Insights System
Concepts Covered:
- Data modeling
- ML-lite workflows
- Dashboarding
- Automation
- Documentation
Tools & Softwares
Why Choose This Internship
Salary Scale
Job Roles
- Data Analyst
- Business Intelligence Analyst
- AI Data Analyst
- Junior Data Scientist
- Reporting Analyst
- Business Analyst
- Insights Analyst
- Analytics Engineer (Junior)
- Operations/Data Associate
- Market Research Analyst
FAQ's
Yes. You'll receive VTU-compliant certificates and documentation.
No. The program starts from fundamentals and scales gradually.
Dashboards, EDA reports, forecasting models, and a full BI/AI analytics system.
Yes — resume, LinkedIn, GitHub, mock interviews & job guidance.
Offered in both offline and hybrid formats.
Yes, you will receive a verified completion certificate from Rooman Technologies upon meeting all requirements.
Students from CSE, ISE, AIML, ECE, EEE, Civil, Mechanical — all VTU streams.
Excel, SQL, Python, Power BI, AI tools like ChatGPT/Gemini.
Contact Us
Have questions about our programs or need guidance? Reach out to us and we’ll be happy to help.
Email Us
online@rooman.net
Call Us
080 6945 1000
Send us a Message
Contact Us
Have questions about our programs or need guidance? Reach out to us and we’ll be happy to help.
Email Us
online@rooman.net
Call Us
080 6945 1000