Become a certified Data Analytics expert
Upgrade your tech skills with Integration Edutech’s industry-oriented Data Analytics Program. Complete the course successfully and receive your entire course fee back.
Duration : 120 Days
Enroll | Upskill
₹40,000 /-
Pay now & receive the full amount back directly to your bank after course completion.
- Course
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 for Free ?
Enroll by Paying ₹799
Complete all modules and submit required assignments
Receive 100% refund directly into your bank account
Web Development with MERN Stack Course Duration
- Enjoy lifetime access to all course materials—even after receiving your full refund.
- To qualify for a 100% refund, learners must complete the course within 90 days.
Data Analytics Course Curriculum
4.7+ Average Learner Rating
Learner Trusted
75,000+ Students Enrolled
Active Learners
60h 40m Total Content
In-Depth Training
● 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
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