Pandas for Data Science - Python Programming For Data Science | Lecture Notes - YNetStudyHub
Python Programming For Data Science

Pandas for Data Science

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Exploring the Pandas library for data manipulation and analysis, loading and cleaning datasets, handling missing data, and performing data aggregation.

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Unit Syllabus 29 Topics
1
Introduction to Python Programming
Data Structures in Python
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Control Flow in Python
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Functions and Modules
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File Handling in Python
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NumPy for Data Science
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Pandas for Data Science
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Data Visualization with Matplotlib
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Introduction to Machine Learning with Python
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Data Cleaning and Preprocessing
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Introduction to Python Programming
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Data Structures in Python
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Working with NumPy for Data Science
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Data Manipulation with Pandas
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Data Visualization with Matplotlib and Seaborn
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Introduction to Machine Learning with Scikit-Learn
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Web Scraping and Data Collection
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Introduction to Natural Language Processing (NLP)
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Introduction to Deep Learning with TensorFlow
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Handling Big Data with PySpark
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Introduction to Python Programming
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Data Structures in Python
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Working with Libraries for Data Science
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Data Cleaning and Preprocessing
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Exploratory Data Analysis (EDA)
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Machine Learning with Python
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Model Evaluation and Validation
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Data Visualization with Python
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Introduction to Deep Learning with Python
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