Description
Unlock the power of data with Python’s most popular libraries: Pandas and NumPy. This hands-on course is designed to equip you with the essential skills for data analysis, whether you’re a beginner or looking to sharpen your existing knowledge
What You’ll Learn:
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Introduction to Data Analysis using Python
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Core concepts of NumPy: arrays, vectorized operations, and statistical functions
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Mastering Pandas: Series, DataFrames, indexing, filtering, grouping, and aggregations
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Handling missing data, merging datasets, and reshaping tables
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Data cleaning, transformation, and preprocessing techniques
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Working with real-world datasets (CSV, Excel, JSON, APIs)
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Basic data visualization with Pandas and Matplotlib
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Preparing datasets for machine learning
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