Data Science Internship
Learn data analysis, visualization, statistical methods and machine learning algorithms.
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
Exploratory Data Analysis
Build this project from scratch and add it to your portfolio.
Predictive Modeling
Build this project from scratch and add it to your portfolio.
Classification and Clustering
Build this project from scratch and add it to your portfolio.
Time Series Analysis
Build this project from scratch and add it to your portfolio.
Program Structure
Program Options
3 Month Plan
Basic- 12 weeks of structured learning
- Core concepts and fundamentals
- 2 practical projects
- Weekly assignments and feedback
- Certificate of completion
6 Month Plan
Advanced- 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
Start Your Data Science Journey Today
Gain practical skills, build your portfolio, and advance your career with our professional internship program.