Step-by-Step Approach to Learn Python for Data Science

➊ Learn Python Basics → Syntax, Variables, Data Types (int, float, string, boolean)
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➋ Control Flow & Functions → If-Else, Loops, Functions, List Comprehensions
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➌ Data Structures & File Handling → Lists, Tuples, Dictionaries, CSV, JSON
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➍ NumPy for Numerical Computing → Arrays, Indexing, Broadcasting, Mathematical Operations
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➎ Pandas for Data Manipulation → DataFrames, Series, Merging, GroupBy, Missing Data Handling
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➏ Data Visualization → Matplotlib, Seaborn, Plotly
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➐ Exploratory Data Analysis (EDA) → Outliers, Feature Engineering, Data Cleaning
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➑ Machine Learning Basics → Scikit-Learn, Regression, Classification, Clustering

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