Ready to Dive into the World of Data?
At Aalan Tech Soft, our 15-day Data Analytics Internship helps college students like you explore the tools and techniques behind modern data analysis. You’ll learn how to read trends, visualize information, and present insights that drive real business results.
- No matter your background—IT, commerce, or any stream—if you’re curious about data, this internship is for you.
- Learn the basics of data visualization, reporting tools, and business insights in a simple, hands-on way.
- Build skills that are in-demand across industries and step confidently into a data-powered future.
What Will You Learn in This Internship?
You don’t need any coding background to start! This internship is designed to help students build strong foundational skills in data analysis and visualization.
Here’s how we do it:
Excel for Data Analysis
Learn how to clean, organize, and analyze data using one of the most widely-used tools in the industry.Python Basics Made Simple
Get introduced to Python programming in a beginner-friendly way, focusing on data tasks — no prior coding needed Real-Time Data Projects for Beginners.Powerful Libraries: pandas & matplotlib
Discover how to use pandas for data manipulation and matplotlib for creating eye-catching charts and graphs.
Data Analytics at ATS – Turn Raw Data into Real Decisions
We teach students how to organize, clean, visualize, and interpret data for meaningful results. These skills are useful in industries like business, healthcare, finance, and tech.
What Students Learned?
What is Data Analytics?
It’s the process of examining datasets to draw conclusions using tools like Excel, Python, and visual dashboards.
Why Choose It?
Highly in-demand skill
Helps in marketing, business, finance, and tech jobs
Great for non-coding students too
Topics Covered in the Internship:
Introduction to data and analytics
Excel for data cleaning and charts
Python basics for data analysis
Working with pandas, numpy
Visualization using matplotlib / seaborn
Simple dashboard creation
Mini project: Analyze student performance or sales data
Project Work
Approach:
Dataset cleanup
Chart generation in Excel or Python
Insights & summary presented
Feedback & Support
Dataset and tasks shared daily
Students submit reports or charts
Mentors give corrections and insights
Personal feedback for better understanding
What Students Do
During the internship, students attend daily data lectures and demos to build a strong foundation. They work on real datasets like CSV or Excel, complete daily tasks, and create visualizations. By the end, they learn to present their insights clearly through simple, effective slides.
