Data Analytics

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Master Data Analytics & Launch Your Career in the Data-Driven World

Learn Excel, SQL, Python, Power BI, Statistics, and AI-powered Analytics with hands-on projects, real datasets, and placement assistance.

  • 100% Practical Training
  • Live Projects & Case Studies
  • Placement Guaranteed*
  • Industry-Recognized Certification
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Core Benefits of the Course

Industry-Relevant Curriculum

Designed as per current job market requirements covering data cleaning, analysis, visualization, and business intelligence.

Hands-On Project Experience

Work on real-world datasets including sales, finance, marketing, and operations.

Job-Focused Training

Resume building, interview preparation, portfolio development, and placement assistance included.

AI & Automation Integration

Learn how AI tools enhance data analysis and reporting efficiency.

Key Highlights of the Course

20+ Detailed Modules

15+ Industry Tools Covered

Real Business Case Studies

Capstone Project

Internship Opportunity

Mock Interviews

Portfolio Development

Lifetime Career Support

Course Modules

Module 1: Introduction to Data Analytics

  • What is Data Analytics
  • Role of Data Analyst
  • Data Lifecycle
  • Types of Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)

Module 2: Excel for Data Analysis (Beginner to Advanced)

  • Data Cleaning
  • Sorting & Filtering
  • Pivot Tables
  • Conditional Formatting
  • VLOOKUP / XLOOKUP
  • IF, SUMIF, COUNTIF
  • Dashboard Creation
  • Using Microsoft Excel

Module 3: Advanced Excel & Dashboarding

  • Data Validation
  • What-if Analysis
  • Power Query
  • Power Pivot
  • Advanced Charts

Module 4: Statistics for Data Analytics

  • Mean, Median, Mode
  • Standard Deviation
  • Probability Basics
  • Correlation & Regression
  • Hypothesis Testing

Module 5: SQL for Data Analysis

  • Introduction to Databases
  • SELECT, WHERE, GROUP BY
  • JOIN Operations
  • Subqueries
  • Aggregate Functions
  • Data Extraction
  • Using MySQL

Module 6: Database Management

  • Relational Databases
  • ER Diagrams
  • Normalization
  • Data Modeling

Module 7: Python for Data Analytics (Beginner)

  • Python Basics
  • Variables & Data Types
  • Loops & Functions
  • Using Python

Module 8: Python Libraries for Data Analysis

  • NumPy
  • Pandas
  • Data Cleaning
  • Data Manipulation

Module 9: Data Visualization with Python

  • Matplotlib
  • Seaborn
  • Plotly
  • Creating Reports

Module 10: Business Intelligence with Power BI

  • Data Import
  • Data Transformation
  • Data Modeling
  • DAX Basics
  • Interactive Dashboards
  • Using Microsoft Power BI

Module 11: Tableau for Data Visualization

  • Data Connection
  • Charts & Graphs
  • Dashboard Creation
  • Storytelling with Data
  • Using Tableau

Module 12: Data Cleaning & Preparation

  • Handling Missing Data
  • Removing Duplicates
  • Outlier Detection
  • Data Formatting

Module 13: Exploratory Data Analysis (EDA)

  • Pattern Identification
  • Trend Analysis
  • Data Insights Extraction

Module 14: Machine Learning Basics

  • Introduction to ML
  • Supervised vs Unsupervised Learning
  • Linear Regression
  • Classification Basics

Module 15: AI in Data Analytics

  • AI-Powered Data Insights
  • Automated Reporting
  • Predictive Analytics
  • Using ChatGPT for Data Interpretation

Module 16: Data Storytelling & Presentation Skills

  • Insight Communication
  • Business Reporting
  • Visualization Best Practices

Module 17: Real-Time Business Case Studies

  • Sales Data Analysis
  • Marketing Campaign Analysis
  • Financial Analysis
  • Customer Segmentation

Module 18: Capstone Project

  • End-to-End Data Analysis Project
  • Dashboard Development
  • Business Insight Report

Module 19: Resume & Portfolio Building

  • GitHub Portfolio Setup
  • LinkedIn Optimization
  • Project Documentation

Module 20: Interview Preparation

  • SQL Interview Questions
  • Python Interview Questions
  • Case Study Rounds
  • Mock Interviews

Tools Covered

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Student Testimonial

I am completely satisfied with the level of professional teaching. I recommend these courses to everyone.

James Smith

CFO Apple Corp

Edubin is a reliable kidcare platform that matches parents who need care with trusted sitters.

Monica Blews

Manager

I am completely satisfied with the level of professional teaching. I recommend these courses to everyone.

John Dowson

Developer

Edubin is a reliable kidcare platform that matches parents who need care with trusted sitters.

Monica Blews

Manager

I am completely satisfied with the level of professional teaching. I recommend these courses to everyone.

John Dowson

Developer

Earn Globally Recognised Certifications

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IIM Veda Data Analytics Certification

Internship
Certificate

Capstone Project
Certificate

Guidance for Global Certifications

Frequently Asked Questions (FAQ)

Who can join this course?

Students, graduates, working professionals, and career switchers.

Do I need coding knowledge?

No prior coding experience required. We start from basics.

Is placement assistance provided?

Yes, including resume building and mock interviews.

What is course duration?

4–6 months depending on batch type.

Will I work on live projects?

Yes. Students run real campaigns and handle ad budgets under expert supervision.

Is there EMI or installment option available?

Yes, flexible payment options are available.

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