Overview
This hands-on course introduces the fundamentals of data preprocessing using Python. Students will learn to clean, transform, and prepare real-world datasets using libraries like Pandas, NumPy, and Scikit-learn. It's the perfect foundation for anyone aiming to pursue data analysis or machine learning.
Our Trainers
Mr. Prateek Mishra
He is a highly experienced and dedicated manager. Having trained 5K+ students and conducted 200+ sessions in colleges. With a passion for teaching and a knack for inspiring students, he ensures personalized guidance for every individual.
Modules
Day 1: Introduction to Python & Jupyter Notebooks
Day 2: Data Types, Variables, and Basic Operations
Day 3: Working with NumPy Arrays
Day 4: Data Manipulation with Pandas (Series & DataFrames)
Day 5: Importing and Exporting Data (CSV, Excel, JSON)
Day 6: Handling Missing Data and Duplicates
Day 7: Data Cleaning & Transformation (Filtering, Mapping, Encoding)
Day 8: Feature Scaling and Normalization Techniques
Day 9: Data Visualization using Matplotlib and Seaborn
Day 10: Mini Project: Complete Data Preprocessing Pipeline
Outcomes
By the end of the course, participants will be able to:
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Use Python and essential libraries for data handling
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Clean, format, and preprocess datasets efficiently
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Visualize and explore data insights
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Prepare data for machine learning tasks
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Build confidence for further study in data scienc
Contact
Name: Swati Khanve
Mobile No: 7067775351
