Python Data Analytics: The Ultimate Guide To Get Started With Data Analysis Using Python, NumPy and Pandas

Are you completely new to programming and want to learn how to code, but don't know where to begin? Are you looking to upgrade your data wrangling skills to future-proof your career and break into Data Science and Analytics?

If you answered yes to any of the questions above, then keep reading...

Data analysis has become a huge industry with tons of career potential and will remain relevant far into the foreseeable future.

With the exponential growth and explosion of new data and the focus on using data to improve customer experiences and carry out research, data analysts will be needed to process and make sense of large amounts of information, with Python being the language of choice because of its versatility.

In this guide, you're going to be shown everything you need to break into the world of Data Analysis with Python. Filled with tutorials for powerful libraries and practical, hands-on exercises, you're going to learn how to aggregate, munge, analyze and visualize data in Python.

Here's a sample of what you're going to discover in Python Data Analytics

• Why Python is the perfect language to learn if you want to break into Big Data and data analytics
• Core statistical models and computation methods you need to know about as a budding data analyst
• How to master the CSV library for reading, writing and handling tabular data
• Using the Xlrd library to extract data from Microsoft Excel files
• How to convert text to speech using the powerful Win32.com library
• How to use the NumPy library to carry out fundamental and basic scientific and technical computing
• How to use the SciPy library to carry out advanced scientific and highly technical computing
• Surefire ways to manipulate the easy-to-use data structures of the Pandas framework for high-performance data analysis
• How to plot complex data, create figures and visualize data using the Python Matplotlib library
• ...and tons more

If you're completely new to programming and have never written a single line of code, but want to get started, this guide is perfect for as a crash guide to getting up to speed with programming in general.

Whether you're a programmer looking to switch into an exciting new field with lots of potential for the future, or a regular data analyst looking to acquire the skills needed to remain relevant in a fast-changing world, this guide will teach you how to master powerful libraries used in the real-world by experienced data scientists.