Chapter 1
Introduction to Data Wrangling with Python
Section 1
Course Overview
Data Wrangling with Python starts with the absolute basics of Python, focusing mainly on data structures, and then quickly jumps into the NumPy and pandas libraries as the fundamental tools for data wrangling. You will learn how, using the Python backend, you can extract and transform data from a diverse array of sources. Then, you will also learn how to handle missinsg or incorrect data, and reformat it based on the requirements from the downstream analytics tool. You will learn about these concepts through real-world examples and datasets. By the end of this course, you will be confident enough to handle a myriad of sources to extract, clean, transform, and format your data efficiently. Follow this link to download the code bundle of this course: https://github.com/TrainingByPackt/Data-Wrangling-with-Python-eLearning