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:
Introduction to Data Analysis using Python
Core concepts of NumPy: arrays, vectorized operations, and statistical functions
Mastering Pandas: Series, DataFrames, indexing, filtering, grouping, and aggregations
Handling missing data, merging datasets, and reshaping tables
Data cleaning, transformation, and preprocessing techniques
Working with real-world datasets (CSV, Excel, JSON, APIs)
Basic data visualization with Pandas and Matplotlib
Preparing datasets for machine learning
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