Dive into the foundational library of numerical computing in Python with Numpy. This comprehensive course equips data scientists with essential skills for manipulating large datasets and performing complex computations efficiently. Starting with Numpy basics and environment setup, you’ll progress through array creation, slicing, and advanced techniques like broadcasting and iteration.
Explore array manipulation through reshaping, concatenation, and transposition, alongside powerful operations including bitwise functions and string manipulation. Master statistical functions, sorting methods, and data filtering techniques crucial for AI, ML, and DL applications.
With practical examples and exercises, this course prepares you to harness Numpy’s capabilities for data analysis in various domains.
