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

projects

Hands-On Training in Industry Tools

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

leader

Bridge the Gap Between Classroom and Career

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

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AI tools Infused Learning

Applying AI tools to get results faster and boost overall productivity

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Internship That Fits Your College Schedule

Designed to be flexible and manageable alongside your academic workload.

award

Certificate + Internship Letter

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

interview

Crack Technical Interviews with Confidence

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

Program Fees

For Indian Learners
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
  • 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
  • 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)
  • 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
  • Define a Business Problem
  • Data Collection & Cleaning
  • Exploratory Data Analysis
  • Visualization & Insights
  • Reporting and Presentation

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.

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.

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

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

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

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.

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

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

Contact us

+91-90000-80000