Boost your data science skills by mastering NumPy, Pandas, SciPy, and powerful visualization tools in Python.
What you will learn
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Introduction to Python for Data Science
Overview of NumPy, Pandas, Matplotlib, and SciPy
Creating NumPy Arrays
Mathematical Operations with NumPy Arrays
Working with Random Numbers and Simulations
Advanced Array Manipulation and Linear Algebra
NumPy for Statistical Computations (Mean, Median, Standard Deviation)
Performance Optimization with NumPy
Loading and Saving Data with Pandas (CSV, Excel, SQL, etc.)
Indexing, Selecting, and Filtering Data in DataFrames
Advanced Pandas Techniques
Matplotlib Data Visualization
Seaborn Advanced Visualization Techniques
SciPy Scientific Computing
Combining Libraries for Real World Data Science
And more……..
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