Python for Data Analytics: A Beginners Guide for Learning Python Data Analytics from A-Z

Summary

Learn data analysis using Python with this easy to follow beginners guide. It covers all aspects of processing, manipulation, crunching, and cleaning data using the Python programming language.  It has been designed to prepare you for:  Analyzing data Creating relevant data visualizations Carrying out statistical analyses for large data Estimating the upcoming future trends by using current data And lots more! This book will help you learn the various parts of Python programming language, its libraries, and scientific computation using Python. Learn to practically solve extensive sets of problems related to data analysis. Python is on par with other programming languages like MATLAB, Stata, R, SAS, and others when it comes to data analysis and data visualization. Python’s rich set of libraries (mainly Pandas) has grown rapidly in recent years and is considered one of the best among its competitors for tasks related to data manipulation. When combined with Python’s own internal solidity, as a general-purpose programming language, we can say that it is an excellent choice to build data-centric web applications. You will learn how to use the essential Python libraries required for data analysis like NumPy, Pandas, matplotlib, IPython, and SciPy. Each one of them performs a particular functionality for data analysis and you will be surprised at how easy it is. So what are you waiting for? Now is your chance to learn hands-on Python with ease. Click the buy now button to get started on your Python journey.

©2019 Alex Root (P)2019 Alex Root