📍 Hosur | 📞 99445 96956 | ✉️ hr@famehub.in

Data Analytics

Turn raw data into powerful business insights using Excel, SQL, Power BI, Tableau, Python analytics, and AI-assisted reporting.

3 Months 10 Modules Online & Offline (Hosur) Certificate + Placement Support

🚀 Why Data Analytics? — Current & Future Scope

Current Demand

Every company — from startups to MNCs — needs data analysts. 97,000+ open roles in India right now. Fresher salary: ₹3.5–8 LPA.

Future Scope

Business Intelligence, real-time analytics & AI-augmented analytics are the future. Data-driven decision making is now mandatory in every industry.

Job Roles

Data Analyst, Business Analyst, BI Developer, Reporting Analyst, MIS Analyst, Operations Analyst, Product Analyst.

Top Recruiters

Deloitte, Accenture, TCS, Infosys, Amazon, Flipkart, banks, healthcare, retail & every data-driven enterprise.

📚 Advanced AI-Integrated Syllabus — Module Wise

1
Excel for Data Analytics
2 Weeks
  • Excel Interface, Formulas & Functions (VLOOKUP, INDEX-MATCH, IF, SUMIF)
  • Pivot Tables & Pivot Charts
  • Data Cleaning & Transformation
  • Conditional Formatting & Data Validation
  • What-If Analysis: Goal Seek, Scenario Manager
  • Excel Dashboards & Reporting
2
SQL for Data Analysis
2 Weeks
  • SQL Basics: SELECT, WHERE, ORDER BY, GROUP BY
  • Joins: INNER, LEFT, RIGHT, FULL OUTER
  • Subqueries & CTEs (Common Table Expressions)
  • Window Functions: ROW_NUMBER, RANK, LAG, LEAD
  • Aggregations & HAVING Clause
  • Stored Procedures & Views for Reporting
3
Python for Analytics
2 Weeks
  • Python Basics: Variables, Loops, Functions
  • NumPy: Array Operations & Mathematical Functions
  • Pandas: DataFrames, Merging, GroupBy, Pivot
  • Data Cleaning: Handling Nulls, Duplicates, Outliers
  • Matplotlib & Seaborn for Visualization
  • Jupyter Notebook Workflow
4
Statistics for Analytics
1 Week
  • Descriptive Statistics: Mean, Median, Mode, Std Dev
  • Probability & Distributions (Normal, Binomial)
  • Correlation & Regression Analysis
  • Hypothesis Testing & A/B Testing
  • Confidence Intervals & p-values
5
Power BI
2 Weeks
  • Power BI Desktop: Interface & Data Import
  • Power Query: Data Transformation & ETL
  • Data Modeling: Relationships & Star Schema
  • DAX: Calculated Columns, Measures, Time Intelligence
  • Interactive Dashboards & Reports
  • Publishing to Power BI Service & Sharing
6
Tableau
1 Week
  • Tableau Desktop: Connecting Data Sources
  • Charts: Bar, Line, Scatter, Map, Treemap
  • Calculated Fields & Table Calculations
  • Filters, Parameters & Sets
  • Dashboard Design & Storytelling
  • Tableau Public Publishing
7
Data Storytelling & Visualization Best Practices
1 Week
  • Principles of Effective Data Visualization
  • Choosing the Right Chart Type
  • Color Theory & Accessibility in Dashboards
  • Narrative Analytics: Telling Stories with Data
  • Presenting Insights to Stakeholders
8
Business Analytics & Case Studies
1 Week
  • Sales & Revenue Analytics
  • Customer Segmentation & RFM Analysis
  • Supply Chain & Operations Analytics
  • HR Analytics & Attrition Analysis
  • Financial Analytics & KPI Dashboards
9
Generative AI for Analytics
1 Week
  • Introduction to AI in Data Analytics
  • OpenAI API for Automated Insights
  • AI-powered Data Analysis with Python
  • Generating Reports with Large Language Models
  • AI-assisted Dashboard Creation
  • Prompt Engineering for Analysts
  • Automating Analytics Workflows with AI
  • Ethical Considerations in AI Analytics
10
Capstone Project + Interview Prep
1 Week
  • End-to-End Analytics Project: Sales / HR / E-Commerce Dataset
  • AI-Enhanced Analytics Dashboard
  • Power BI or Tableau Dashboard Submission
  • Resume Building & LinkedIn Profile
  • Mock Analytics Interviews (SQL + Python + BI Tools)
  • Placement Drive Participation