The Data Science with Python Internship is a hands-on, industry-aligned program designed to equip learners with essential skills in data analytics, statistical analysis, and machine learning using Python. This internship is perfect for beginners and intermediate learners who want to break into the world of data science. Over the span of 30 days, learners will gain a strong command over Python programming and core libraries like NumPy, Pandas, Matplotlib, and Seaborn while working with real-world datasets.
In addition to technical expertise, participants will understand the complete data science lifecycle—from data collection and cleaning to exploration, model building, and evaluation. The internship also includes a dedicated capstone project, enabling learners to apply their knowledge to real-time business problems. By the end of the program, participants will be well-prepared to take on entry-level roles in data science, data analytics, or machine learning, and confidently pursue further career opportunities in the domain.
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Day 1: Introduction to Data Science & Python Installation -
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Day 2: Python Basics – Variables, Data Types, and Operators
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Day 3: Conditional Statements and Loops
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Day 4: Functions and Lambda Expressions
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Day 5: Data Structures – Lists, Tuples, Sets, and Dictionaries
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Day 6: File Handling and Exception Handling
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Day 7: Practice Session + Mini Project
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Day 8: Introduction to NumPy – Arrays, Operations
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Day 9: NumPy – Indexing, Slicing, and Mathematical Functions
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Day 10: Pandas – Series and DataFrames
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Day 11: Data Cleaning – Handling Missing Data, Duplicates
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Day 12: Data Manipulation – GroupBy, Merge, Join
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Day 13: Data Visualization with Matplotlib
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Day 14: Data Visualization with Seaborn
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Day 21: Introduction to Machine Learning & Scikit-learn
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Day 22: Supervised Learning – Linear Regression
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Day 23: Classification – Logistic Regression
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Day 24: Decision Trees and Random Forest
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Day 25: Model Evaluation – Accuracy, Confusion Matrix, ROC
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Day 26: Unsupervised Learning – K-Means Clustering
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Day 27: Dimensionality Reduction – PCA
Skills you will learn during the Data Science with Python Internship:
Throughout this internship, you will gain a strong foundation in Python programming tailored specifically for data science applications. You’ll learn to write efficient Python code, manipulate data using libraries like NumPy and Pandas, and visualize insights with Matplotlib and Seaborn. The internship will equip you with skills to clean, analyze, and transform raw data into meaningful insights.
You’ll also dive into Exploratory Data Analysis (EDA), understand statistical concepts, and implement core machine learning algorithms using Scikit-learn. By working on real-time datasets and completing a hands-on capstone project, you will develop practical expertise in data wrangling, model building, performance evaluation, and project deployment—skills essential for any aspiring data scientist or analyst.
