High Demand Industry Role

Data Analytics Course.
Make Data Tell A Story.

A Data Analytics program structured to meet precise corporate hiring standards. Master Excel, SQL, Power BI, Python, and the latest GenAI workflows to transform raw numbers into actionable business decisions.

View Syllabus Contact Admissions

20 Weeks

Live Online Training

120+ Hrs

Extensive Lectures

20 Projects

Case Studies Included

Hiring Ready

Placement Support

Realistic Career Growth

Data Analysts are highly sought after across all business sectors. Here are the realistic, verified salary trends in the Indian IT market for 2026:

Junior Analyst

0 - 2 Years Experience

₹4.0L - ₹6.0L

per annum

Industry Average

Mid-Level

3 - 5 Years Experience

₹8.0L - ₹14.0L

per annum

Senior Analyst

5+ Years Experience

₹15.0L - ₹22.0L+

per annum

Core Tech Stack

Master the complete data ecosystem to query, clean, visualize, and automate your analysis.

Microsoft Excel

The industry-leading spreadsheet application and initial data analysis tool.

SQL Programming

MySQL databases, complex joins, window functions, and CTEs.

Power BI

Data Visualization, Power Query, DAX measures, and intelligent dashboards.

Python & GenAI

Pandas, Numpy, LLMs, and Prompt Engineering workflows for data analytics.

Applied Statistics

Hypothesis Testing, AB Testing, and probability distributions.

Course Outcomes

What you will be able to accomplish from day one on the job.

Data Organization

Structure raw business data effectively and build solutions that instantly improve your team's operational efficiency.

Data Discovery

Extract meaningful insights, identify hidden patterns, and perform highly structured analysis on complex company datasets.

Visualization

Design interactive dashboards that transform technical findings into clear, accessible visual formats for business audiences.

Reporting

Craft compelling data narratives and confidently present metric-driven findings directly to key stakeholders and team leads.

Target Audience

Perfect for Beginners, Academic Students (M.Sc, M.Tech, B.Tech, MCA, MBA, BCA, B.Sc, PGDCA), or anyone aiming to build a professional career as a Data Analyst.

Comprehensive Curriculum

5 extensive modules packed with theory and practical project implementation.

Module 1: Microsoft Excel Proficiency
  • Introduction & Excel Basics
    • Core formatting, raw data handling, and essential functions.
    • Writing Excel formulas using AI prompts and performing AI-assisted data cleansing.
  • Deep Dive with Excel
    • Configuring data connectors and cleaning datasets via Power Query Editor.
    • Generating conditional columns and grasping Data Modelling concepts.
    • Applying cardinality and cross-filter directions inside Power Pivot.
    • Leveraging ChatGPT/Gemini to write complex Power Query M scripts.
  • Advanced Excel Mastery
    • Constructing Pivot Tables, advanced charts, slicers, and custom measures.
    • Designing interactive dashboards with AI visual recommendations.
    • Automating dashboard summary insights and incorporating AI narrations via Invideo/Descript.
Module Projects:
  1. Automated Corporate Sales Dashboard
  2. Warehouse Inventory Tracker & Forecaster
  3. Financial Expense & Budget Analysis
  4. Employee Attendance & Timesheet Automation
Module 2: Programming with SQL
  • MySQL Fundamentals
    • Understanding basic syntax, filtering clauses, and mathematical operators.
    • Managing null values effectively within datasets.
    • Implementing AI for rapid query generation, error debugging, and auto-documentation.
  • Advanced SQL Queries
    • Utilizing built-in functions and executing conditional logic with Case Operators.
    • Aggregating data using Group By and Having clauses.
    • Merging datasets through various SQL Joins and optimizing queries via AI.
  • Complex Analytical Techniques
    • Writing nested Subqueries and using Set operators (Union, Intersect, Except).
    • Developing Stored Procedures and Common Table Expressions (CTEs).
    • Implementing Window Functions, alongside AI templates for stored procedures and debugging.
Module Projects:
  1. E-commerce Relational Database Design
  2. Customer Churn Analysis via Complex Queries
  3. HR Payroll Stored Procedures Implementation
  4. Sales Performance Reporting via Window Functions
Module 3: Data Visualization with Power BI
  • Power BI Foundations
    • Connecting to various data sources and utilizing Power Query Editor.
    • Appending, merging, pivoting, and unpivoting complex data tables.
    • Using embedded AI features to intuitively explore new datasets.
  • Advanced Modeling & DAX
    • Establishing data models, cardinality, and bi-directional cross-filtering.
    • Understanding Measures versus Calculated Columns.
    • Writing DAX functions for cumulative sales and moving averages.
    • Converting natural language to DAX, optimizing code, and detecting trend anomalies with AI.
  • Dashboard Creation
    • Generating specific dashboard measures using ChatGPT.
    • Designing intuitive column charts, matrix tables, KPI cards, and dynamic slicers.
    • Integrating Smart Narratives to auto-generate insightful dashboard explanations.
Module Projects:
  1. Global Superstore Interactive Dashboard
  2. Corporate HR Attrition Analytics
  3. Financial KPI Scorecard Generation
  4. Marketing Campaign ROI Visuals
Module 4: Python Libraries & GenAI Workflows
  • Core Python Basics
    • Navigating Python data types, variables, control flow, and core data structures.
    • Using AI to write regular expressions (regex) for rapid data cleaning.
  • Advanced Python Integrations
    • Building reusable functions and importing essential built-in modules like Pickle.
    • Introduction to NumPy arrays and executing statistical operations.
    • Automating file handling processes via AI assistance.
  • Essential Data Libraries
    • Utilizing Pandas to aggressively clean, merge, join, and concatenate data frames.
    • Plotting insightful graphical charts using Matplotlib and Seaborn.
    • Deploying AI-driven strategies for missing data imputation.
  • GenAI & Workflow Automation
    • Understanding the fundamental mechanics of Large Language Models (LLMs).
    • Mastering the art of prompt engineering for data analysis.
    • Automating Exploratory Data Analysis (EDA) and implementing Retrieval-Augmented Generation (RAGs).
    • Setting up smart business checks, automated alerts, and AI-driven workflow pipelines.
Module Projects:
  1. Automated Web Scraper & Data Cleaner
  2. Pandas EDA on Large-Scale Titanic Dataset
  3. AI-Powered Anomaly Detection Script
  4. LLM Query Bot for Conversational CSV Data
Module 5: Applied Statistics for Data Analysis
  • Mathematical Foundations
    • Introduction to essential mathematical concepts for analysts.
    • Calculating and interpreting Descriptive Statistics.
    • Formulating and executing robust Hypothesis Testing.
    • Designing methodologies for business A/B Testing.
    • Grasping the fundamentals of statistical Probability.
    • Using AI to generate sample test scenarios and running data-driven simulations.
Module Projects:
  1. A/B Testing Implementation on Ad Campaigns
  2. Market Research Statistical Hypothesis
  3. Sales Conversion Probability Modeling
  4. Customer Behavior Variance Analysis
Official Certification

Get Job Ready

Upon completion of the 20-week program and your extensive portfolio of 20 module projects, you will receive a verifiable certificate of completion. Combined with our placement support, you will be fully equipped to launch your career.

  • Add directly to your LinkedIn & Resume
  • Verify your technical capabilities

Certificate of Completion

Advanced Data Analytics

Top 10 FAQs

Common questions about our Data Analytics program.

1. Do I need prior coding experience?

No, beginners are completely welcome. The course teaches all modules starting from basic Excel before moving seamlessly into SQL programming and Python.

2. Are the classes live or pre-recorded?

All sessions are delivered via high-quality Live Online Training Sessions so you can interact and ask questions directly.

3. What is the total duration of the course?

The training spans 20 Weeks, consisting of over 120+ hours of dedicated lecture duration.

4. What tools and languages will I learn?

You will learn Microsoft Excel, SQL, Power BI, Python Libraries, GenAI tools, and Applied Data Statistics.

5. Will I work on real projects?

Yes, the course includes 20 hands-on projects (4 per module) where you will build interactive dashboards and extract meaningful insights.

6. Do you provide placement support?

Yes, dedicated placement support and interview preparation are core components included within the program.

7. Who is eligible to join this course?

Academic Students of M.SC., M.Tech, B.Tech. (CS / IT), MCA, MBA, BCA, B.Sc., PGDCA, or any professional who wants to transition into a career as a data analyst.

8. Does this course cover Artificial Intelligence?

Yes! The curriculum incorporates modern GenAI workflows for Data Analytics, AI prompt engineering, AI debugging for SQL, and AI-driven automation.

9. What is the average salary of a Data Analyst?

Freshers can typically expect ₹4.0 Lakh to ₹6.0 Lakh per annum, while mid-level to senior analysts easily scale between ₹8 Lakh to ₹22 Lakh+ per annum.

10. How do I enroll?

Simply click the "Enroll Now" button below or contact our team directly at +91-8090978001 for the upcoming batch details.

Ready to Transform Raw Data?

Join the upcoming batch and secure your highly sought-after role in Data Analytics.

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