# Data Analysis with Python: Part 4 of 6 Numerical Computing with Numpy (Live Course)

“Data Analysis with Python: Zero to Pandas” is a practical, beginner-friendly and coding-focused introduction to data analysis covering the basics of Python, Numpy, Pandas, data visualization and exploratory data analysis. You can learn more and register for a Certificate of Accomplishment at http://zerotopandas.com β­οΈ Resources β­οΈ
π Numerical computing with Numpy: https://jovian.ml/aakashns/python-numerical-computing-with-numpy
π 100 Numpy exercises: https://jovian.ml/aakashns/100-numpy-exercises
π Numpy array operations assignment: https://jovian.ml/learn/data-analysis-with-python-zero-to-pandas/assignment/assignment-2-numpy-array-operations
π Discussion forum: https://jovian.ml/forum/t/lecture-3-numerical-computing-with-python-numpy/10593 β­οΈ Topics covered β­οΈ
β¨οΈ Going from Python lists to Numpy arrays
β¨οΈ Working with multi-dimensional arrays
β¨οΈ Array operations, slicing and broadcasting
β¨οΈ Working with CSV data files π₯ Watch the entire series here: https://www.youtube.com/playlist?list=PLWKjhJtqVAblvI1i46ScbKV2jH1gdL7VQ βοΈThis course is taught by Aakash N S, cofounder & CEO of Jovian.ml – a platform for sharing, showcasing and collaborating on data science projects online

Data Analysis with Python: Part 4 of 6 Numerical Computing with Numpy (Live Course)