Python Data Analysis - Third Edition
Data analysis generates value from small and big data by finding new patterns and trends. Python is one of the most popular and easy tools to analyze a variety of data. This book is a handy guide to get well versed with all the phases and methodologies used in the data analysis domain. You will be using modern libraries from the Python ecosystem to create efficient data pipelines.
To begin with, you will focus on the essential statistical overview and data analysis fundamentals using Python. You will perform effective and complex data analysis and modeling, data manipulation, data cleaning, data visualization and more using easy-to-follow examples. The book focuses on the practical, relevant fundamentals, in-depth and advanced description of Python data analysis. You will perform time-series analysis and signal processing using ARMA models. Later you will learn to bring smart processing and deep dive into data analytics using machine learning algorithms like regression, classification, PCA, clustering, and more. You will pick real-world examples to analyze textual and image data using NLP and image analytics techniques respectively. Later you will focus on parallel computing using Dask.
By the end of this book, you will learn to prepare data for analysis, and create meaningful data visualizations to forecast values from data.
|Course Length||3 hours 37 minutes|
|Date Of Publication||24 Apr 2020|