Exercise - Explore data with NumPy and Pandas

Exploring Data with Python

A significant part of a data scientist's role is to explore, analyze, and visualize data. There's a wide range of tools and programming languages that they can use to do this, and of the most popular approaches is to use Jupyter notebooks (like this one) and Python.

Python is a flexible programming language that is used in a wide range of scenarios; from web applications to device programming. It's extremely popular in the data science and machine learning community because of the many packages it supports for data analysis and visualization.

Python is a flexible programming language that is used in a wide range of scenarios; from web applications to device programming. It's extremely popular in the data science and machine learning community because of the many packages it supports for data analysis and visualization. In this exercise, you will explore data arrays with NumPy, and exploring tabular data with Pandas.

This exercise requires the Microsoft Learn sandbox to complete. You can access the exercise from the link below.

Exercise Link

Exercise - Explore data with NumPy and Pandas