Python Pandas Basics

By the end of this project, you will be able to load data from CSV files, identify the data frame shape, apply some operations to validate the dataset, manipulate and filter the dataset. Moreover, you will be able to rename and delete columns, clean the data to apply some aggregate functions, and finally, export it into CSV files using Pandas library which is an open-source Python package that provides numerous tools for data analysis. The package comes with several data structures that can be used for many different data manipulation tasks. It also has a variety of methods that can be invoked for data analysis, which comes in handy when working on data science and machine learning problems in Python. This guided project is for people in the field of business and data analysis. And also people who want to learn more about python and Pandas library. It provides you with the important steps to be a data analyst. Moreover, it equips you with the knowledge of python's native data structures Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.