Hands-On Data Analysis with Pandas
Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate great value for companies.
This book will show you how to analyze your data and get started with machine learning in Python using the powerful pandas library. We will extend pandas offerings with other Python libraries such as matplotlib, NumPy, and scikit-learn to perform each phase and operation of data analysis tasks. You will learn data wrangling, how to manipulate your data, clean it, visualize it, find patterns, and make predictions based on the past data using real-world examples. You will learn how to conduct data analysis, and then take our analyses a step further as we explore some applications of anomaly detection, regression, clustering, and classification.
Towards the end of the book, you will be able to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.
|Course Length||13 hours 1 minutes|
|Date Of Publication||28 Jun 2019|