Data Science Internship

Learn data analysis, visualization, statistical methods and machine learning algorithms.

Python for Data Science pandas NumPy Matplotlib/Seaborn Statistical Analysis +5 more

Course Overview

The Data Science internship program covers the complete data science pipeline, from data collection and cleaning to analysis, visualization, and machine learning. You'll learn to use Python libraries like pandas, NumPy, Matplotlib, and scikit-learn to extract insights from data and build predictive models.

What You'll Learn

  • Python for Data Science
  • pandas
  • NumPy
  • Matplotlib/Seaborn
  • Statistical Analysis
  • Machine Learning
  • Data Cleaning
  • Feature Engineering
  • Data Visualization
  • Jupyter Notebooks

Projects You'll Work On

1

Exploratory Data Analysis

Build this project from scratch and add it to your portfolio.

2

Predictive Modeling

Build this project from scratch and add it to your portfolio.

3

Classification and Clustering

Build this project from scratch and add it to your portfolio.

4

Time Series Analysis

Build this project from scratch and add it to your portfolio.

Program Structure

Program Options

3 Month Plan

Basic
₹500.00 /one-time
  • 12 weeks of structured learning
  • Core concepts and fundamentals
  • 2 practical projects
  • Weekly assignments and feedback
  • Certificate of completion
RECOMMENDED

6 Month Plan

Advanced
₹800.00 /one-time
  • 24 weeks of comprehensive learning
  • Advanced topics and techniques
  • 4 comprehensive projects
  • 1-on-1 mentorship sessions
  • Priority code reviews
  • Premium certificate of completion
  • Job referral assistance

Frequently Asked Questions

Everything you need to know about our internship program

While there are no strict prerequisites, basic computer literacy and familiarity with the internet is required. For more technical courses like Web Development or Python, some prior exposure to programming concepts is helpful but not mandatory.

What Our Students Say

Hear from those who have completed our internship programs

Student

Rahul Sharma

Web Development Intern

"The 6-month web development internship at CodeSprintX was a game-changer for me. The structured learning path and real-world projects helped me land a job immediately after completion."

Student

Priya Patel

Python Development Intern

"I took the 3-month Python internship program and was amazed at how much I learned in such a short time. The mentors were supportive and the curriculum was comprehensive."

Student

Arjun Mehta

Java Development Intern

"The Java internship at CodeSprintX provided me with hands-on experience in enterprise application development. The skills I gained are extremely valuable in today's job market."

Student

Neha Gupta

Data Science Intern

"The data science program at CodeSprintX gave me practical knowledge of machine learning algorithms and data visualization techniques. I'm now working as a junior data analyst thanks to this internship."

Student

Vikram Singh

Mobile App Development Intern

"I learned React Native through the 6-month mobile app development internship. The hands-on approach and real client projects helped me build a strong portfolio that impressed recruiters."

Student

Anjali Desai

UI/UX Design Intern

"The UI/UX design internship at CodeSprintX taught me both theory and practical skills. The mentors provided valuable feedback on my designs, which helped me improve rapidly."

Student

Rohan Kapoor

Cybersecurity Intern

"During my cybersecurity internship at CodeSprintX, I worked on real-world security audits and vulnerability assessments. This practical experience was invaluable for my career development."

Student

Divya Malhotra

AI/ML Intern

"The AI/ML internship at CodeSprintX exposed me to cutting-edge technologies and applications. I gained hands-on experience in building and deploying machine learning models for real business problems."

Start Your Data Science Journey Today

Gain practical skills, build your portfolio, and advance your career with our professional internship program.