About this book
Data analysis generates value from small and big data by finding new patterns and trends. Python is one of the most popular tools for analyzing a wide variety of data. This book will help you get up and running with the different phases and methodologies used in data analysis, and will show you how to use modern libraries from the Python ecosystem to create efficient data pipelines.
To begin with, you will focus on the essential statistical and data analysis fundamentals using Python. You’ll then perform effective and complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. Next, you’ll understand how to conduct time-series analysis and signal processing using ARMA models. Later, you’ll delve into smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. Toward the concluding chapters, you’ll pick real-world examples to analyze textual and image data using natural language processing (NLP) and image analytics techniques respectively. Finally, you will focus on parallel computing using Dask.
By the end of this data analysis book, you’ll be equipped with the skills you need to prepare data for analysis, and create meaningful data visualizations for forecasting values from data.
- Publication date:
- December 2020