Publisher's Synopsis
Have you heard all the buzz around data science, but you are uncertain about what it all means, or how your business can benefit? Do you want to actually gain some insights about your business, your customer, and your competition, but you aren't sure where to start?
Data science is something that all businesses can benefit from. From gathering the data to cleaning it off, and organizing it to make sure that it works with the algorithm model that you choose, data science is the process that you need to use to get ahead.
This guidebook is going to take some time to explore data science and all of the different parts that go with it. Some of the topics that we are going to explore in this guidebook concerning data science will include:
- How the Python coding language can help to make data science work.
- The importance of data science and why we need to work with it.
- Some of the best Python libraries to use with deep learning and data science, including Pandas, NumPy, and more.
- The steps needed with data science, including gathering data, organizing, and cleaning the data, wrangling the data, and data visualization.
- Some of the basics of machine learning and how to make this work for your needs
- Some practical examples to ensure that we can see how Python data science really works.
Data science is a game-changer when it comes to your business and the way that it can make predictions, create business strategies that are based on data, and gain a competitive edge. When you are ready to learn how to work with data science with Python today!
