Data Analytics Internship Program

Data Analytics

Internship Program

That gets you hired

Practical Training, Real Projects, Career Support

Build Skills Employers Actually Want

12 Weeks

Program Duration

60+ Hours

Self paced training lectures

2 Projects

Real world projects

Get Hired

Interview-Focused Learning to Boost Your Career

About Internship Program

Data Analytics Internship Program is designed to equip participants with essential, job-ready skills in data analysis, visualization, and reporting. Interns will gain hands-on experience with industry-standard tools such as SQL, Python Power BI, Gen AI and Machine Learning.

By the end of the internship, students will build a strong portfolio that showcases their ability to handle data-driven projects from start to finish.

Material Includes

Program Highlights

Hands-On Training in Industry Tools

Gain practical experience using the same tools and platforms professionals rely on every day.

Bridge the Gap Between Classroom and Career

Apply your academic knowledge to real industry problems and gain practical experience.

AI tools Infused Learning

Applying AI tools to get results faster and boost overall productivity

Internship That Fits Your College Schedule

Designed to be flexible and manageable alongside your academic workload.

Certificate + Internship Letter

Receive a certificate of completion and an official internship letter to add to your profile.

Crack Technical Interviews with Confidence

Understand how hiring managers evaluate candidates and tailor your interview skills to stand out in a competitive job market

₨25000

₨ 8999

15 Days Moneyback Gauranteed
2 Years of Full Content Access

Program Modules

Module 1: Python for Data Analytics

Python Basics (Data Types, Loops, Functions)
NumPy for Numerical Operations
Pandas for Data Wrangling
Matplotlib & Seaborn for Visualization
Working with CSV, Excel, and JSON Files
Introduction to Jupyter Notebooks

Module 2: Databases and SQL

Introduction to SQL and Relational Databases
Understanding DDL (Data Definition Language) in SQL
Working with DML (Data Manipulation Language) in SQL
Mastering Joins and Sub-queries
Using Functions and Expressions for Data Transformation
Implementing Constraints, Indexes, and Views
Creating and Managing Stored Procedures and Triggers
Leveraging Common Table Expressions (CTEs) and Window Functions

Module 3: Data Visualization with Power BI

Introduction to Power BI and Its Ecosystem
Data Transformation with Power Query (M Language)
Data Modeling, DAX and Relationships
Data Visualization: KPIs and Card, Bar Charts, Line Charts, Table, Matrix, MAP etc.
Adding Interactivity: Slicers, Drill through, Tooltips, Bookmarks
Power BI Service: Publishing and Sharing Reports
Power BI Gateway – Data Refresh Automation
Implementing Row-Level Security (RLS)

Module 4: Gen AI and Machine Learning

Introduction to AI, ML and GenAI
Supervised vs Unsupervised Learning:
Algorithms: Linear & Logistic Regression, Decision Trees, Clustering (K-Means)
Model Evaluation (Accuracy, Precision, Recall, F1 Score)
Introduction to Neural Networks
Gen AI and Language Models
Hands on with GenAI APIs: OpenAI / Hugging Face APIs
Transformers and Attention Mechanism

Module 5: Internship Project

Define a Business Problem
Data Collection & Cleaning
Exploratory Data Analysis
Visualization & Insights
Reporting and Presentation

Bonus Module: Data Structures & Algorithm

Algorithm Foundations & Complexity Analysis
Linear Data Structures
Non-Linear Data Structures
Hashing and Advanced Data Structures
Searching, Sorting & Algorithm Design Techniques
Advanced Problem Solving Techniques

Skills Covered

Tools and Technologies Covered

Job Opportunities

A Data Analyst collects, processes, and analyzes data to uncover trends, patterns, and insights that inform business decisions. They use tools like Excel, SQL, and data visualization software to generate reports and support strategic planning. Data Analysts focus on interpreting data to help organizations optimize processes and improve performance.

Average Salaries: 4L – 16L per annum

Job Opportunities:

Sectors like finance, healthcare, retail, e-commerce, tech, and logistics rely heavily on analytics.
According to the U.S. Bureau of Labor Statistics, Data Analyst-related roles are expected to grow ~23% from 2021 to 2031—much faster than the average.
NASSCOM estimates India will need over 2.5 million data and analytics professionals by 2026.

A Business Intelligence (BI) Analyst plays a crucial role in helping organizations make data-driven decisions by transforming raw data into meaningful insights, reports, and dashboards. While similar to data analysts, BI analysts focus more on reporting, dashboards, and decision support at the business level.

Average Salaries: 4L – 14L per annum

Job Opportunities:

Linkedin Job Reports says BI Analysts are consistently in the Top 10 most in-demand data roles.
NASSCOM / Zinnov Reports says India’s analytics market projected to be worth $16 billion+ by 2025 and BI-focused Roles are expected to grow at ~25% CAGR between 2024–2027.
Sectors like finance, healthcare, retail, e-commerce, tech, and logistics rely heavily on analytics.
TCS, Infosys, Accenture, Flipkart, Reliance Jio, Amazon, Google, Fractal Analytics, and unicorn startups are among the top employers.

Go to Data Analytics Job Ready Program

Trained by the Industry’s Leading Instructors

Step into your future, led by the leaders of today.

Vineet Setia

Rudder, Fractal, IIT B

15 years of experience with expertise in Business Analytics, Data Analytics System Design, Machine Learning & AI

Tulika Gupta

IBM, Accenture, LTI

15 yrs of Experience with expertise in Business Analytics, Machine Learning & AI, Databases and SQL

Nikita Gupta

Deutsche, Deloitte, JP Morgan, IIT K

16 years of experience with expertise in Python Programming, Machine Learning, Deep Learning and AI

Akshat Gupta

Deloitte, Google

14 years of experience with experience in Cloud Infrastructure, DevOps, MLOps, Database Design

Have a query?
Reach out to our career advisors!

Frequently Asked Questions

What is the duration of the internship?

The program spans 3 months, with extended access to recordings and resources for up to 2 years.

Will I receive a certificate after completion?

Yes, all interns who successfully complete the program will receive a certificate of completion.

Who can apply for the internship?

This internship is open to students, recent graduates, and early-career professionals interested in gaining practical experience in Data Analytics

Can I work remotely?

Yes, the internship is 100% online, allowing you to learn and work from anywhere.

. How will this internship help me crack technical interviews?

Our internship program is designed to bridge the gap between academic knowledge and real-world application. We focus on core concepts, problem-solving, and tools like SQL, Python, Excel, and Power BI — frequently asked in technical rounds.

Will there be mentorship during the internship?

Absolutely! You’ll receive guidance and feedback from industry experts throughout the program.

What is the refund policy?

We offer a 100% refund within the first 7 days if you’re not satisfied with the course.

Book a FREE webinar to know more about this program

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+91-9869801963