Get to grips Python’s popular packages that make Data Analysis possible
About This Video
Kick start your journey as a data analyst by diving into the necessary tools for data analysis
Real-world, practical examples that wrap your head around the essential know-how
Covers important concepts such as hierarchical indexing and grouping for sophisticated data analysis and manipulation
Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning.
In this video course, you will explore two of the most important Python packages used by Data Analysts. You will start off by learning how to set up the right environment for data analysis with Python. Here, you’ll learn to install the right Python distribution, as well as work with the Jupyter notebook, and set up a database. After that you will dive into Python’s NumPy package, Python’s powerful extension with advanced mathematical functions. You will learn to create NumPy arrays, as well as employ different array methods and functions. Then, you will explore Python’s Pandas extension, where you will learn to subset your data, as well as dive into data mapping using Pandas. You’ll also learn to manage your data sets by sorting and ranking them. Finally, you will learn to index and group your data for sophisticated data analysis and manipulation.