D24
Data & AIBeginner6 weeks
Data Analytics
Learn to clean, explore, and visualize real-world datasets to uncover insights that drive business decisions.
What you'll learn
Data cleaning and preparation with Python and Excel
Exploratory analysis and visualization techniques
Building dashboards that communicate insights clearly
A capstone project analyzing a real-world dataset end-to-end
Course details
Duration
6 weeks
Best for
Beginners who want to work confidently with real business data
On completion
Verified certificate & placement assistance
Course Curriculum
A module-by-module breakdown of what you'll cover in Data Analytics.
01
Data Fundamentals
Weeks 1–2- Understanding data types and structures
- Excel and Python for data handling
- Data cleaning and preprocessing techniques
02
Exploratory Data Analysis
Week 3- Descriptive statistics and distributions
- Data visualization with charts and plots
- Identifying trends, outliers, and patterns
03
Dashboards & Reporting
Weeks 4–5- Building interactive dashboards in Power BI
- KPI tracking and automated reporting
- Presenting insights to stakeholders
04
Capstone Project
Week 6- Working with a real-world business dataset
- End-to-end analysis and insight generation
- Portfolio-ready final presentation
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
Python
Excel
Power BI
SQL
JnJupyter Notebook
Hands-on Projects
This is project-based learning — you'll build real, portfolio-ready work as you go, not just watch lectures.
Sales performance dashboard for a retail dataset
Customer churn analysis report
Monthly KPI tracker automation
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Student Reviews
“The hands-on projects made all the difference — I went from spreadsheets to actually telling stories with data.”
Priya Sundaram
Business Analyst
“Clear explanations and real datasets. I landed an analyst role within two months of finishing.”
Karthik R
Career Switcher
Enroll in Data Analytics
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