Python Data Analysis – Learn how to do Data Analysis with Machine Learning, Python and ChatGPT

In this first chapter you will learn what is Data Analysis and why it matters when we talk about data. We also define the difference between data engineers and data scientists.

Business Intelligence (BI) refers to the strategies and technologies used by enterprises for data analysis of business information to support decision-making. In this chapter we start learning more about it and get introduce to Power BI by Microsoft.

A set of famous and very effective Python libraries you can use to manage and analyze data. Some of them are quite famous, while other might sound new.

It’s time to start experimenting with ChatGPT to work on data analysis. In this chapter you will learn how you can use ChatGPT to analyze data but also the PROs and CONs of this approach compared to classic methods.

If you are exploring data analysis for the first time and you are a software engineer, you probably don’t need to learn all the specific of Machine Learning but understanding its fundamentals will give you lots of advantages.

TensorFlow is an open-source library by Google for numerical computation and machine learning. It simplifies creating complex ML models, enhancing AI applications by enabling advanced data analyses and automation.