Data analysis from scratch with Python [Step By Step Guide]

Другая компьютерная литература, Программы

Автор: Морган Питерс

Год: 2016

Добавил: Admin 21 Июн 20

Проверил: Admin 21 Июн 20

Формат: PDF (2853 Kb)

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Аннотация

Why read on? First, you’ll learn how to use Python in data analysis (which is a bit cooler and a bit more advanced than using Microsoft Excel). Second, you’ll also learn how to gain the mindset of a real data analyst (computational thinking).
More importantly, you’ll learn how Python and machine learning applies to real world problems (business, science, market research, technology, manufacturing, retail, financial). We’ll provide several examples on how modern methods of data analysis fit in with approaching and solving modern problems.
This is important because the massive influx of data provides us with more opportunities to gain insights and make an impact in almost any field. This recent phenomenon also provides new challenges that require new technologies and approaches. In addition, this also requires new skills and mindsets to successfully navigate through the challenges and successfully tap the fullest potential of the opportunities being presented to us.
For now, forget about getting the “sexiest job of the 21st century” (data scientist, machine learning engineer, etc.). Forget about the fears about artificial intelligence eradicating jobs and the entire human race. This is all about learning (in the truest sense of the word) and solving real world problems.
We are here to create solutions and take advantage of new technologies to make better decisions and hopefully make our lives easier. And this starts at building a strong foundation so we can better face the challenges and master advanced concepts.