Publisher's Synopsis
Are you interested in learning more about your customers' needs? What would it be like if you were able to go through and really reduce waste, make good decisions, and beat out the competition? What if you could finally put all of that data you have been collecting for all of this time to good use, and ensure that you were really reaching your full potential?
All of this and more can be done with the help of data analysis and data science, with the help of Python and machine learning. This guidebook is going to lead you from your data analysis idea, all of the way to actually completing your own analysis in no time.
You will learn:
- What a data analysis is all about and why businesses are trying to make one of these works on all the data they have collected.
- The steps to complete our own data analysis.
- Why the Python language is one of the best choices for data analysis.
- How the world of machine learning is able to fit into this to make things easier.
- Data preparation and cleaning.
- Some of the most common libraries to complete data analysis, including Pandas, NumPy, and IPython.
- How these data visuals can help you to understand the data you are working with.
- Some of the main industries that are using data to improve their business.
Even if you never used data analysis, learning it is easier than it looks, you just need the right guidance. This practical guide can bring your business to the front of competition.
Scroll up and Buy now to make the most of your data.
