Data Science Internship
Learn data analysis, visualization and machine learning with real datasets.
About this Internship
Dive into the world of Data Science and Machine Learning. Learn how to clean, analyze, and visualize complex real-world datasets, and build predictive machine learning models using Python, NumPy, Pandas, Matplotlib, Seaborn, and Scikit-Learn. Perfect for college students looking to break into high-demand data careers.
What You Will Learn
Internship Curriculum
- NumPy Arrays & Vectorized Operations
- Pandas Series & DataFrames
- Data Cleaning & Missing Value Imputation
- Plotting with Matplotlib & Seaborn
- Statistical Metrics & Correlation
- Feature Engineering & Normalization
- Linear & Logistic Regression
- Decision Trees & Random Forests
- K-Means Clustering Algorithms
- Model Evaluation Metrics & Hyperparameter Tuning
- Building Interactive Visualizations
- Real-World Case Study Submission
Prerequisites & Requirements
Basic familiarity with Python syntax is helpful but not strictly required.
Full access, live sessions, and verified certificate.
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This internship includes:
- Live Zoom interactive sessions
- Downloadable starter kits & study resources
- Real-world capstone assignments
- Verified Certificate of Completion
- 8 Weeks duration
- Dedicated academic mentor support
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