What You'll Learn

Our Data Analytics with AI program equips you with the complete analytics toolkit — from advanced Excel and SQL to Python, Power BI, and Tableau. What sets this program apart is the AI integration: you'll learn to leverage machine learning models and AI-powered tools to automate analysis, uncover patterns, and make smarter business recommendations that traditional analysts can't match.

  • End-to-end analytics pipeline — from data collection to dashboards
  • AI-powered automation for faster, deeper insights
  • Real-world case studies from e-commerce, finance & healthcare
  • Portfolio of interactive dashboards for interviews
  • Placement support with resume building & mock interviews

Ideal Candidates

Graduates who want to enter the analytics field

Working professionals in operations, marketing, or finance

Excel users who want to upgrade to BI tools & Python

Anyone looking to make data-driven career decisions

Course Modules

Structured curriculum to take you from spreadsheets to AI-powered analytics

  • Advanced formulas — VLOOKUP, INDEX-MATCH, SUMIFS, array formulas
  • Pivot Tables, slicers & conditional formatting
  • Data validation, macros & VBA basics
  • Business reporting templates & dashboards in Excel
  • What-If analysis, Solver & Goal Seek
  • SQL fundamentals — SELECT, WHERE, JOIN, GROUP BY
  • Subqueries, CTEs & window functions
  • Database design & normalization
  • Stored procedures & query optimization
  • Real-world data extraction from relational databases
  • Python basics — variables, loops, functions
  • Pandas for data wrangling & cleaning
  • NumPy for numerical computation
  • Data visualization with Matplotlib & Seaborn
  • Automating data tasks with Python scripts
  • Descriptive statistics — mean, median, mode, standard deviation
  • Probability & distributions
  • Hypothesis testing & confidence intervals
  • Correlation, regression & trend analysis
  • EDA workflow with real datasets
  • Power BI — data modeling, DAX formulas, report design
  • Tableau — calculated fields, parameters, storytelling
  • Interactive dashboard design best practices
  • Connecting to live data sources & APIs
  • Publishing & sharing dashboards for stakeholders
  • Introduction to ML — supervised & unsupervised learning
  • Regression & classification for business predictions
  • Clustering for customer segmentation
  • AI tools for automated data analysis (ChatGPT, Copilot)
  • Integrating ML models with dashboards
  • End-to-end analytics project with real business data
  • Dashboard portfolio for job interviews
  • Resume building & LinkedIn optimization
  • Mock interviews & placement support
  • Job referrals to 50+ hiring partners

Tools & Technologies You'll Master

Advanced Excel SQL Python Pandas NumPy Power BI Tableau Matplotlib Seaborn Scikit-learn MySQL PostgreSQL Google Sheets Jupyter Notebook ChatGPT MS Copilot

Hands-On Projects

Build a portfolio that proves your skills to employers

E-Commerce Sales Dashboard

Build an interactive Power BI dashboard analyzing sales performance, customer segments, and seasonal trends for an online retailer.

HR Attrition Analysis

Analyze employee attrition data using SQL and Python to identify key factors driving turnover and present recommendations via Tableau.

Financial KPI Tracker

Create automated Excel reports and Python scripts to track monthly revenue, costs, and margins across business units.

Customer Segmentation with AI

Use clustering algorithms to segment customers based on purchase behavior and build targeted marketing recommendations.

Career Outcomes

Roles our graduates land after completing this program

Data Analyst Business Intelligence Analyst MIS Analyst Reporting Analyst Power BI Developer Analytics Consultant

Average Salary Range: ₹5–18 LPA

Frequently Asked Questions

Data Analytics focuses more on business reporting, dashboards, SQL, and BI tools like Power BI and Tableau. AI and Data Science goes deeper into machine learning, deep learning, and model building. If your goal is business-facing analysis and visualization, this course is the better fit.

No prior programming experience is required. We start with Excel and SQL before introducing Python. The program is designed for beginners and builds complexity gradually.

Yes. You'll get hands-on experience with both tools. Most companies use one or the other, so knowing both gives you a significant advantage in the job market.

You'll learn to use machine learning for business predictions (regression, classification, clustering), plus AI tools like ChatGPT and Microsoft Copilot to automate repetitive analysis tasks and generate insights faster.

Yes. We provide resume building, LinkedIn optimization, mock interviews, and direct referrals to our hiring partners. Our goal is to help you land a job within 3 months of course completion.

Yes. We offer flexible EMI options. Contact our admissions team at +91 94227 61663 for details on payment plans.

Ready to Become a Data Analyst?

Enroll now and start turning data into decisions. Limited seats available for the upcoming batch.

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