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Data Analytics Course
Data Analytics Icon

Data Analytics Training Course

  • icon-check-blue Learn how to clean, analyze, visualize, and present data.
  • icon-check-blue Designed for non-tech learners to address real-world business problems.
  • icon-check-blue Master the entire stack of tools: Excel, SQL, Power BI, and Tableau.
  • icon-check-blue Awe-inspiring, stepwise course for business practical tools.
In Collaboration With: Gyansetu

Premier institute for skill development in Gurgaon, offering industry-relevant and placement-oriented training modules.

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    Why Join this Program?

    Course Overview

    Why Choose This Data Analytics Course?

    This Data Analytics course is designed for young professionals and graduates aiming to take up high-demand analytics jobs. By learning essential tools and techniques, you'll be able to explore, interpret, and present data-based stories for better business decision-making.


    Key Features

    Entry-Level Structure

    Course structure designed for entry-level students.

    Excel, SQL, Power BI, and Tableau

    Comprehensive course covering Excel, SQL, Power BI, and Tableau.

    Case Studies

    Study with case studies on marketing, sales, finance & HR.

    Career Support

    Resume building, job referral, mock interviews.

    Certification

    Certification after the capstone project.

    Flexible Modes

    Online, offline, and hybrid mode training available.

    Certification Program Advantage

    Acquire Your Certificate in Data Analytics

    • Certification from Gyansetu.
    • Increases the worth of your CV and profile on LinkedIn.
    • Accepted by companies recruiting for analytics jobs.

    One Step Ahead by Live Training

    • Live projects using actual datasets.
    • Domain-specific exposure to analytics.
    • Capstone project presentation & review.

    Online Data Analytics Course

    Gyansetu provides an online alternative where you can participate in live classes, download resources, solve real-world datasets, and submit projects from anywhere. You'll have access to recorded videos and the same personalization and certification offered in offline batches.

    Why Should I Become A Data Analyst?

    Becoming a Data Analyst offers numerous benefits in today's job market.

    • One of the most in-demand jobs of the decade
    • Salaries range from ₹5 LPA to ₹10+ LPA
    • No coding required - ideal for students of commerce and arts
    • Analytics is practiced in every industry
    • Great career growth into data science, AI, and business roles

    What Will You Learn in This Data Analytics Course?

    This program covers essential skills and knowledge for data analytics.


    • Excel for business data cleaning and visualization
    • SQL queries for data extraction and transformation
    • Data modeling and BI dashboard creation
    • Power BI & Tableau for dynamic visual storytelling
    • Analytics case studies for HR, sales, marketing & finance
    • How to present findings in interviews and reports

    What Are the Job Roles After This Course?

    Data Analyst

    Analyze and interpret data for business insights.

    Business Analyst

    Identify business needs and provide data-driven solutions.

    MIS Executive

    Manage and analyze management information systems.

    Reporting Manager

    Oversee and improve data reporting processes.

    BI Developer

    Develop and maintain business intelligence tools.

    Excel Reporting Specialist

    Create detailed reports using Excel.

    Data Visualization Analyst

    Visualize data for easy understanding.

    Data Coordinator

    Coordinate and manage data-related tasks.

    Full Learning Path with Curriculum

    Course Duration: 3 Months Mode: Online / Offline / Hybrid

    • What is Data Analytics? Types & Applications
    • Difference Between Data Science and Data Analytics
    • Excel Interface Overview and Shortcuts
    • Data Entry, Cleaning, and Formatting
    • Formulas, Functions, and Conditional Formatting
    • VLOOKUP, HLOOKUP, INDEX/MATCH
    • Data Validation and Protection
    • Pivot Tables and Pivot Charts
    • Mini Project: Analyze employee performance data using pivot tables and functions.

    • Best Practices for Data Storytelling
    • Creating Charts: Bar, Pie, Line, Area, Scatter
    • Conditional Charting and Dynamic Visuals
    • Using Slicers and Timelines in Excel
    • Google Sheets Collaboration Features
    • Presenting Data with PowerPoint
    • Embedding Charts in Slides and Building Reports
    • Mini Project: Build a monthly business performance dashboard using Excel and present insights via PowerPoint.

    • Introduction to Databases & Data Models
    • SELECT, WHERE, ORDER BY, and Logical Operators
    • Aggregation Functions (SUM, AVG, MAX, COUNT)
    • GROUP BY and HAVING Clauses
    • JOIN Operations: INNER, LEFT, RIGHT
    • Subqueries and Set Operations
    • Creating and Modifying Tables
    • Running SQL Queries in MySQL Workbench / SQLite
    • Mini Project: Design a customer segmentation SQL dashboard using JOINs and GROUP BY queries.

    • Descriptive Statistics: Mean, Median, Mode, Range
    • Variance and Standard Deviation
    • Correlation and Covariance
    • Probability Basics and Distributions
    • Hypothesis Testing and Confidence Intervals
    • A/B Testing and Real-Time Analysis Examples
    • Interpreting Graphs and Charts
    • Statistical Significance in Business Decisions
    • Mini Project: Conduct A/B Testing on a marketing campaign dataset to identify the best-performing variant.

    • Understanding BI: What, Why, and How
    • Power BI: Importing Data and Cleaning
    • Creating Dashboards with Visual Elements
    • DAX Basics for Calculated Fields
    • Filters, Slicers, and Drill-Down Features
    • Tableau: Connecting to Data Sources
    • Building Interactive Visuals
    • Publishing Reports to Web/Server
    • Mini Projects: Power BI Dashboard for E-commerce Sales Analysis, Tableau Dashboard for Hospital Resource Management

    • Case Study 1: Sales Trend Analysis
    • Case Study 2: Marketing Campaign Performance
    • Case Study 3: Inventory Optimization
    • How to Present Analytical Reports to Stakeholders
    • KPI Dashboards: Sales, Finance, HR
    • Resume Building with Project Descriptions
    • Portfolio Creation on GitHub / LinkedIn
    • Projects: Retail Revenue Forecasting Using SQL + Excel + Power BI, Customer Retention Analysis for SaaS Business, Logistics Delay Analysis with Tableau

    • Final Capstone Review by Experts
    • One-on-One Feedback + Skill Gaps Addressed
    • Job Interview Preparation + Case Discussion
    • Certification Exam (Practical + MCQ)
    • Course Completion Certificate
    • Internship Certificate (Optional via STS Digital Solutions)

    Comparison

    Feature Digi Edu Learning ✅ Other Institutes ❌
    1-on-1 Mentorship ✔ Personal guidance from experts ✘ Only group sessions
    Real Company Dashboards ✔ Access to real dashboards ✘ Only dummy templates
    Excel + Power BI + SQL Training ✔ Full stack analytics coverage ✘ Usually limited to Excel
    Business-Centric Use Cases ✔ Practical projects on real data ✘ Theoretical or irrelevant examples
    Live Projects + Internship Support ✔ Hands-on internship included ✘ Projects are only on paper
    Career Prep + Placement Support ✔ Resume help + job assistance ✘ No career support

    FAQ's Frequently Asked Questions

    Not Really! This is a great course for beginners and non-tech learners.

    Yeah! You will study with industry experts from Gyansetu.

    Yes. Permanent access is provided to all sessions and recordings.

    Yes, we do provide classroom, online, and hybrid options in Gurgaon.

    Well, we do have placement assistance, resume building, mock interviews, and referrals.

    You will receive recorded lectures plus notes for any time you wish to catch up.

    Of course. All projects have been based on actual industry data.

    Certainly. It is there for those with a non-technical background.

    Certainly, you, too, will have access to mentors even after the closure of the batch.

    Certainly, demo classes will be conducted.

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