INTRODUCTION
Why keep reading? First of all, you’ll get to know the idea how can Python be used in data analysis (which is a bit cooler and more unconventional than using Microsoft Excel). Secondly, you will also learn to acquire the mindset of a real data analyst (computational thinking). Most importantly, you will learn how Python and machine learning apply to real-world problems (business, science, market research, technology, manufacturing, retail, finance).
We will give several examples of how modern data analysis methods fit into modern problem solving and approach. This is important because the massive influx of data gives us more opportunities to gain insights and have an impact in almost every area. This recent phenomenon also presents new challenges that require new technologies and approaches.
Furthermore, it also requires new skills and a new mindset to successfully meet challenges and successfully exploit the full potential of the opportunities presented to us. For now, forget the “sexiest job of the 21st century” (data scientist, machine learning engineer, etc.). Forget fears about artificial intelligence eradicating jobs and the entire human race. It’s about learning (in the true sense of the word) and solving real-world problems.
We are creating solutions and taking advantage of latest technologies to make better results and to make our lives easier. And it starts with building a solid foundation so we can better meet challenges and master advanced concepts.
