Integration Edu Tech

Become a certified Data Analytics  expert

Upgrade your tech skills with Integration Edutech’s industry-oriented Data Analytics  Program. 

Duration : 120 Days 
Enroll | Upskill

₹40,000 /-

Data Analytics Course Features

Beginner-Friendly Course

Easy to Start

IT & Non-IT Background

Open for All

Clear Explanations

Simple Language

Live Instructor-Led Training

Live Classes

Offline Classroom Sessions

Classroom Learning

Mentorship Program

Expert Guidance

Assessment-Based Evaluation

Regular Assessments

Doubt Clearing Sessions

Instant Support

How Can You Learn ?

Enroll by Paying Fee

Complete all Modules and submit required Assignments

Get Certified after Completion

  • What is Data Analytics?
  • Importance of Data Analytics in Industry
  • Types of Analytics
  • Descriptive
  • Diagnostic
  • Predictive
  • Prescriptive
  • Data Analyst vs Data Scientist vs Business Analyst
  • Real-world applications (Finance, Healthcare, Marketing, Education)
  • Types of Data
  • Structured, Semi-Structured, Unstructured
  • Data Sources
  • Databases, APIs, CSV/Excel files, Web data
  • Data Collection Methods
  • Data Quality and Data Cleaning Concepts
  • Data Ethics & Privacy Basics
  • Excel Interface and Data Handling
  • Data Cleaning using Excel
  • Formulas & Functions
  • IF, VLOOKUP/XLOOKUP, COUNTIF, SUMIF
  • Pivot Tables & Pivot Charts
  • Conditional Formatting
  • Basic Excel Dashboards
  • Introduction to Databases
  • SQL Basics
  • SELECT, INSERT, UPDATE, DELETE
  • Filtering & Sorting Data
  • Aggregate Functions
  • COUNT, SUM, AVG, MIN, MAX
  • GROUP BY & HAVING
  • Joins (INNER, LEFT, RIGHT)
  • Subqueries
  • SQL Case Studies
  • DOM Deep Dive
  • Python Basics (Variables, Data Types, Loops, Functions)
  • Python Libraries for Data Analysis
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • Data Cleaning & Manipulation using Pandas
  • Data Visualization using Python
  • Mini Projects using Python
  • Shape
  • Descriptive Statistics
  • Mean, Median, Mode
  • Measures of Dispersion
  • Variance, Standard Deviation
  • Probability Basics
  • Data Distribution
  • Correlation & Regression
  • Hypothesis Testing (Basic Level)
  • Principles of Data Visualization
  • Introduction to Power BI / Tableau
  • Creating Interactive Dashboards
  • Storytelling with Data
  • KPI Design & Reporting
  • Problem Definition
  • Data Collection & Cleaning
  • Exploratory Data Analysis (EDA)
  • Insights Generation
  • Reporting & Presentation
  • Business Decision Making
  • Sales Data Analysis
  • Customer Churn Analysis
  • Marketing Campaign Performance
  • Financial Data Analysis
  • HR Analytics (Employee Attrition)
  • End-to-End Data Analytics Project
  • Dataset Selection
  • Data Cleaning & Processing
  • Analysis & Visualization
  • Dashboard Creation
  • Final Report & Presentation
  • Resume Building for Data Analyst
  • Interview Preparation
  • GitHub Portfolio Creation
  • Communication & Presentation Skills
  • Internship Ethics & Workplace Skills

Certify your Learning

Testimonials