Bestseller

Internship in Data Science

In Collaboration with gemini

In today’s data-driven world, the demand for skilled Data Scientists is higher than ever. Businesses across industries rely on data analysis, artificial intelligence, and machine learning to make informed decisions, optimize operations, and drive innovation.

Learning Saint’s 6-Month Data Science Internship is an intensive, hands-on training program designed to take you from a beginner to a highly skilled industry-ready data scientist. Whether you’re a student, a working professional, or someone looking to transition into data science, this internship provides you with the knowledge, tools, and real-world experience required to excel in the field.

This program follows a structured, project-based learning approach, covering everything from fundamental concepts to advanced techniques. By the end of the internship, you’ll have worked on 80+ real-world projects, gained expertise in data analysis, machine learning, deep learning, big data, and AI, and built a strong portfolio to showcase your skills to potential employers.

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Online

Training Mode

100+ Hours

Recorded Videos

40+

Live Assignments

6 Months

Course Duration

Join the Best Data Science Internship Program

Job Assurance

Our internship program guarantees career-ready skills, offering you a chance to secure job placements with 500+ top-tier partner organizations hiring data science, machine learning, and AI professionals.

Dedicated Career Services

We provide resume development, profile enhancement, career mentorship, and one-on-one career counseling to ensure you land the right data science job. Our career support workshops help you navigate the competitive job market with confidence.

Real-world Projects

Gain hands-on experience by working on 80+ industry-specific projects and case studies, specially designed by industry experts to make you job-ready. Get practical exposure to finance, healthcare, e-commerce, marketing, and cybersecurity domains.

Freelancing & Global Earning Opportunities

Our internship equips you with skills to earn through freelancing on platforms like Fiverr, Upwork, Freelancer, Toptal, and PeoplePerHour. Learn how to build a strong profile, get high-paying clients, and deliver top-notch data science solutions to businesses worldwide.

Entrepreneurial & Startup Guidance

Want to start your own data science consulting business? Our mentors guide you through building AI-driven products, setting up a freelancing agency, and monetizing your skills independently. Get insights into how top freelancers earn $5000+ per month through data-driven solutions.

Industry-Sponsored Remote Work Projects

Work on real-world projects with international clients and gain experience in remote data science roles. Build a global portfolio, enhance your credibility, and get direct access to remote job opportunities in the field of AI, ML, and Big Data.

6-Months Live Internship – Work on real-world projects from Day 1

Freelancing & Global Earning Opportunities – Learn to earn on Fiverr, Upwork, Freelancer, Toptal, and PeoplePerHour

Mentor Sessions – Personalized guidance from industry experts

Live Industrial Capstone & Projects – Hands-on experience with global datasets

On-Demand Doubt Sessions – Get real-time support from mentors

Live classes by Experts

Internship Partners

Who Can Apply for the Course?

This 6-Month Data Science Internship is designed for individuals who want to gain real-world project experience and build a strong portfolio to kickstart their career in Data Science, AI, and Machine Learning.
Students & Fresh Graduates looking to gain hands-on experience and strengthen their data science portfolio.
IT Professionals & Software Engineers aiming to transition into Data Science, AI, or Machine Learning roles.
Freelancers & Entrepreneurs who want to offer data-driven solutions on platforms like Upwork, Fiverr, and Freelancer.
Career Switchers looking to move into the high-demand field of Data Science and AI.
Developers & Project Managers who want to integrate data analytics, automation, and AI-driven insights into their projects.
Business & Finance Professionals who want to leverage data analytics and predictive modeling in their fields.
Anyone with a passion for AI & Data Science who wants to work on real-world projects and become job-ready.

20 Programming Tools, Languages & Libraries Covered

Apache Spark
GitHub
RStudio
D3.js
SAS
KNIME
Power BI
MATLAB
Python
R
SQL
Tableau
Excel
Apache Hadoop
Jupyter Notebooks

Program Benefits

Learn from experienced industry professionals and expert faculty who bring real-world data science applications and insights into the classroom.
Connect with data scientists, AI experts, and analysts from top tech companies to build a strong professional network.
Stay updated with the latest tools, trends, and technologies in data science, machine learning, big data, and artificial intelligence.
Apply theory to practice through hands-on assignments using Python, R, SQL, TensorFlow, Hadoop, and other tools and platforms.
Receive personalized mentorship from seasoned industry professionals who guide your learning and support your career growth.
Earn a recognized postgraduate credential in just 1 year and fast-track your entry or advancement into the field of data science.

Participate in Weekday Problem-Solving Sessions led by Industry Experts

Engage in problem-solving sessions guided by industry professionals throughout the weekdays.

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Content Hours Available

Industry Projects

Live Learning Sessions

Programming Tools/ Languages

Internship in Data Science – 6-Months Hands-on Learning

Objective: Gain proficiency in Python, data manipulation, basic analytics, and visualization

Topics & Tools

Python Fundamentals: Variables, Data Types, Functions, Control Flow

Data Visualization: Matplotlib, Seaborn

Basic SQL for Data Extraction & Queries

Topics & Tools

1. Titanic Dataset (Prediction Modeling)

Tools: Python, Pandas, scikit-learn, Matplotlib

2. Beginner Exploratory Data Analysis on Life Expectancy

Tools: Python, Pandas, Seaborn

3. Color Detection for Images

Tools: Python, OpenCV

4. F1 Performance Analysis

Tools: Python, Pandas, Matplotlib

5. Predict Income with Census Data

Tools: Python, scikit-learn, Pandas

6. Retail Data Analysis with SQL

Tools: SQL, Python, Pandas

7. Practice Data Cleaning with a Messy Dataset

Tools: Python, Pandas, NumPy

8. Earth Surface Temperature Visualization

Tools: Python, Matplotlib, Seaborn

9. Who Will Survive the Titanic? (Another approach)

Tools: Python, scikit-learn

10. Are Sports Supplements Effective? (Statistical Analysis)

Tools: Python, Pandas, Seaborn

11. Toughest Sports in Terms of Skills (Data Exploration)

Tools: Python, Pandas

12. Handling Missing Values: NFL Play-by-play

Tools: Python, Pandas

13. Scrape Data for NBA Analytics

Tools: Python, Requests, BeautifulSoup

14. Basic Sentiment Analysis on Twitter Data

Tools: Python, NLTK, Pandas

Mentor Support:

For any questions on Python, data cleaning, or EDA, reach out to your dedicated mentor.

Strengthen your data analytics capabilities, work on ML basics, and delve into visualization on real-world datasets.

Topics & Tools

Supervised ML: Linear/Logistic Regression, Decision

Data Visualization & Dashboards: Matplotlib, Seaborn, Power BI/Tableau

Feature Engineering and Model Evaluation (Accuracy, Precision, Recall)

Projects (14)

Mentor Support:

For any questions on Python, data cleaning, or EDA, reach out to your dedicated mentor.

1. Airbnb Algorithms Take-Home

Tools: Python, Pandas

2. GrubHub: Best State for Growth (Analytics)

Tools: Python, Pandas, scikit-learn

3. Airbnb Analytics Project

Tools: Python, Pandas, Seaborn

4. Thinking Machines: Traffic Congestion Analysis

Tools: Python, Pandas, (Optionally GeoPandas/QGIS)

5. Car Rental Prices Analytics

Tools: Python, Pandas, scikit-learn

6. Customer Churn Analysis

Tools: Python, scikit-learn, Pandas

7. Stroke Prediction Dataset (Data Visualization)

Tools: Python, Matplotlib, scikit-learn

8. DoorDash Take-Home Analytics Project

Tools: Python, Pandas

9. Flowcast Credit Card Fraud Detection

Tools: Python, scikit-learn

10. Credit Card Approval Prediction

Tools: Python, scikit-learn

11. Predicting Crypto Prices with ML

Tools: Python, scikit-learn, (Optional: TensorFlow)

12. Build a Simple Movie Recommendation System

Tools: Python, scikit-learn, Surprise (or similar)

13. Fruits Recognition (Basic Computer Vision)

Tools: Python, OpenCV, scikit-learn

14. E-commerce Sales Dashboard

Tools: Power BI or Tableau

Mentor Support:

For doubts on analytics methods, regression/classification models, or data visualization, consult your mentor.

Tackle more complex ML tasks, including NLP, computer vision, and recommendation systems.

Topics & Tools

Unsupervised ML: Clustering (K-Means, DBSCAN)

NLP: Text Preprocessing, Sentiment Analysis, NLTK/spaCy

Computer Vision: OpenCV for image processing

Recommendation Engines& Time-Series Forecasting

Projects (14)

1. Detecting Fake News with NLP

Tools: Python, NLTK/spaCy, scikit-learn

2. Getting Started with Text Mining

Tools: Python, NLTK, Pandas

3. Cassava Leaf Disease Classification

Tools: Python, TensorFlow/PyTorch

4. Build a QR Code/Barcode Scanner

Tools: Python, OpenCV

5. Transform Images into Cartoons

Tools: Python, OpenCV

6. Build a Custom Recommendation Engine

Tools: Python, scikit-learn, Surprise or LightFM

7. Practice Classification with ML (Any open dataset)

Tools: Python, scikit-learn

8. Face-Swapping App in Python

Tools: Python, OpenCV

9. UpTop: Messy JSON Processing

Tools: Python, JSON, Pandas

10. Alternative Asset Arbitrage (Advanced ML)

Tools: Python, scikit-learn

11. Movie Genre Classification Using NLP

Tools: Python, scikit-learn, NLTK/spaCy

12. Social Media Toxic Comment Classification

Tools: Python, TensorFlow/PyTorch

13. Time-Series Forecasting for Stock Prices

Tools: Python, scikit-learn, statsmodels

14. Chatbot with Rasa

Tools: Python, Rasa, spaCy

Mentor Support:

Stuck with NLP pipelines or advanced ML algorithms? Your mentor is just a message away.

Explore neural networks, CNNs, RNNs, and transformers for complex tasks like image recognition, speech processing, and GANs.

Topics & Tools

Neural Networks: Feedforward, Convolutional (CNN), Recurrent (RNN, LSTM)

Transformers & GPT-based Models

Generative Models (GANs) for synthetic data/image generation

Projects (14)

1. Image Classifier for X-Ray Scans

Tools: Python, TensorFlow

2. Object Detection for Autonomous Vehicles

Tools: Python, YOLO, OpenCV, TensorFlow/PyTorch

3. Speech-to-Text with Deep Learning

Tools: Python, TensorFlow/PyTorch, SpeechRecognition APIs

4. GAN for Face Generation

Tools: Python, TensorFlow/PyTorch

5. RNN/LSTM for Time Series Forecasting

Tools: Python, TensorFlow/PyTorch

6. Custom Named Entity Recognition (NER) z

Tools: Python, spaCy

7. Machine Translation with seq2seq Models

Tools: Python, TensorFlow/PyTorch

8. Build a Python Package for Data Preprocessing

Tools: Python, setuptools

9. Build Your Own Trading Bot

Tools: Python, APIs (Alpaca, Binance), scikit-learn/TensorFlow

10. Real Estate Investment Opportunities (Predictive Analytics)

Tools: Python, scikit-learn

11. Concert Ticket Reselling Analysi s

Tools: Python, scikit-learn, Pandas

12. Drone-based Farmland Monitoring (Image Classification)

Tools: Python, TensorFlow/PyTorch

13. Video Classification for Sports Highlights

Tools: Python, OpenCV, TensorFlow/PyTorch

14. Micro-expression Detection for Sentiment

Tools: Python, OpenCV, scikit-learn/TensorFlow

Mentor Support:

For help with deep learning architectures, debugging training issues, or hyperparameter tuning, contact your mentor.

Learn to handle large-scale data, streaming pipelines, and deploy AI solutions on the cloud.

Topics & Tools

Apache Spark & PySpark for big data

Streaming Data Pipelines: Kafka, Spark Streaming

Cloud Platforms: AWS, GCP, Azure

Containerization & Deployment: AWS, Docker, Kubernetes, Flask, FastAPI

MLOps for continuous integration & delivery

Projects (14)

1. Processing Large Datasets with Spark

Tools: PySpark, Python

2. Real-time Twitter Sentiment with Spark Streaming

Tools: PySpark, Twitter API

3. Building a Data Lake on AWS S3

Tools: AWS S3, AWS Glue, Python

4. Deploying an ML Model on AWS Lambda

Tools: AWS Lambda, Python, scikit-learn

5. Building a Kafka-based Data Pipeline

Tools: Apache Kafka, Python

6. Containerizing ML Models with Docker

Tools: Docker, Python

7. Kubernetes-based Deployment for Scaling ML

Tools: Kubernetes, Docker

8. Azure ML for Automated ML Pipeline

Tools: Azure ML, Python

9. End-to-End Data Pipeline in GCP

Tools: Google Cloud (BigQuery, Dataflow), Python

10. Summarizing Large Text Datasets with Spark NLP

Tools: Spark NLP, PySpark

11. Real-time Fraud Detection on Financial Transactions

Tools: Spark, Python, scikit-learn

12. Big Data Recommender System (E-commerce)

Tools: Spark, Python

13. GPU Instances on AWS for Deep Learning

Tools: AWS EC2 (GPU), TensorFlow/PyTorch

14. MLOps with Jenkins & Docker

Tools: Jenkins, Docker, Python

Mentor Support:Unsure about Spark, AWS deployment, or MLOps pipelines? Get personalized help from your mentor.

Objective: Consolidate all skills into a capstone project, build your freelancing profile, and prepare for job placements or remote gigs.

Topics & Tools

Capstone Project: Full end-to-end data science solution

Freelancing Platforms: Upwork, Fiverr, Freelancer, Toptal

Personal Branding: GitHub, LinkedIn, Resume Building

Advanced Project Management & Client Handling

Projects (14)

1. End-to-End AI-based Healthcare Diagnostics

Tools: Python, scikit-learn/TensorFlow, EHR dataset

2. Large-Scale Recommender System for E-commerce

Tools: Spark, Python, scikit-learn

3. AI-Driven Cybersecurity Threat Detection

Tools: Python, scikit-learn, deep learning frameworks

4. Deploying an ML Model on AWS Lambda

Tools: Python, Computer Vision, OpenCV

5. Advanced Chatbot with GPT-based Models

Tools: Python, Rasa, Hugging Face Transformers

6. Self-Driving Car Simulation (CARLA)

Tools: Python, PyTorch, CARLA environment

7. Virtual Personal Assistant (Speech & NLP)

Tools: Python, SpeechRecognition, NLP libs

8. Video Analytics for Retail Footfall & Behavior

Tools: Python, OpenCV, YOLO

9. Automatic Speech Recognition with Transformer Models

Tools: Python, TensorFlow/PyTorch

10. Smart Farming with IoT & AI

Tools: Python, scikit-learn, sensor data

11. Personalized Nutrition & Diet Recommendation System

Tools: Python, scikit-learn

12. Automated Trading Bot (Reinforcement Learning)

Tools: Python, RL libraries, trading APIs

13. Real-time Weather Forecasting with Big Data & AI

Tools: Spark, Python, scikit-learn

14. Creating a Freelancing Portfolio & Bidding Strategy

Tools: Upwork, Fiverr, GitHub, LinkedIn

Mentor Support:

Get help finalizing your capstone, setting up freelancing profiles, or refining your portfolio.

84 Real-World Projects spanning Data Cleaning, Analytics, ML, AI, Big Data, and Deployment.

Dedicated Mentor Support after each module for doubts, debugging, and project feedback.

Freelancing & Global Earning Opportunities: Learn how to market your skills on Upwork, Fiverr, Freelancer, Toptal, etc.

Capstone & Career Guidance: Final month dedicated to building your portfolio, refining your resume, and preparing for job placements or remote gigs

Apply Now and start your 6-month journey toward mastering data science and unlocking freelancing opportunities worldwide!

Our Learners Work At

Success Stories

Ankit Shahi

Transformed from Technology Analyst to Associate Consultant with a remarkable 204% hike.

204% hike

4 yrs

Technology Analyst

Associate Consultant

Pratik Karnik

Transitioned from Software Engineer to Data Scientist with a 54% salary increase.

54% hike

2 yrs

Software Engineer

Data Scientist

Vignesh Arjun

Evolved from Data Associate to Data Analyst, enjoying a significant 94% salary hike.

94% hike

1.5 yrs

Data Associate

Data Analyst

Ask What You Want To Know

FAQs – Data Science Internship

Ans:- Graduates can explore roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, AI Specialist, and Big Data Engineer in the finance, healthcare, retail, and tech industries.

Ans:- Yes! The program includes multiple hands-on projects and a capstone project that lets you apply your learning to solve real industry problems.

Ans:- The Master’s in Data Science is a one-year full-time program divided into two semesters. The final capstone project involves real-world data science applications.

Ans:- Basic programming knowledge (especially in Python or R) is helpful but not mandatory. The course begins with foundational modules to get you up to speed.

Ans:- You can apply by filling out the online application form on our website. After reviewing your application, you may need to undergo a brief screening test. Once accepted, you will receive details about the program’s start date, fees, and other relevant information.

Internship in Data Science

Online

100+ Hours

40+

6 Months

Join the Best Data Science Internship Program

Job Assurance

Dedicated Career Services

Real-world Projects

Freelancing & Global Earning Opportunities

Entrepreneurial & Startup Guidance

Industry-Sponsored Remote Work Projects

Key Highlights

Drop Us A Line

Internship Partners

Who Can Apply for the Course?

20 Programming Tools, Languages & Libraries Covered

Program Benefits

Participate in Weekday Problem-Solving Sessions led by Industry Experts

Content Hours Available

Industry Projects

Live Learning Sessions

Programming Tools/ Languages

Internship in Data Science – 6-Months Hands-on Learning

Our Learners Work At

Success Stories

FAQs – Data Science Internship

Your Perfect Job and Internship

Internship in Data Science

Online

100+ Hours

40+

6 Months

Join the Best Data Science Internship Program

Job Assurance

Dedicated Career Services

Real-world Projects

Freelancing & Global Earning Opportunities

Entrepreneurial & Startup Guidance

Industry-Sponsored Remote Work Projects

Key Highlights

Drop Us A Line

Internship Partners

Who Can Apply for the Course?

20 Programming Tools, Languages & Libraries Covered

Program Benefits

Participate in Weekday Problem-Solving Sessions led by Industry Experts

Content Hours Available

Industry Projects

Live Learning Sessions

Programming Tools/ Languages

Internship in Data Science – 6-Months Hands-on Learning

Month 1: Foundations of Data Science & Python

Month 2: Data Analytics & Intermediate ML

Month 3: Advanced ML, NLP & Computer Vision

Month 4: Deep Learning & Advanced AI

Month 5: Big Data, Cloud & Model Deployment

Month 6: Capstone, Freelancing & Global Opportunities

Internship Highlights

Ready to become a Data Science expert?

Our Learners Work At

Success Stories

FAQs – Data Science Internship

What are the career opportunities after completing a Master’s in Data Science program?

Will I get real-time projects during the course?

What is the duration of the program?

WIs any coding experience required to join this course?

How can I apply for the program?