• €11.99

Publisher Description

If you want to become the best programmer among your competitors and outperform the competition with a clear and complete approach without becoming frustrated trying to understand the big data, then keep reading...

Computer programmers are increasingly in demand in the world. It is estimated that over 50 percent of companies fail to hire Python programmers because there are not enough advanced and prepared programmers. The problem, however, is that the world is full of books and technical courses that are not able to easily explain the Python programming language and teach how to analyze the data properly. For this reason, it is not your fault; it is simply difficult for a programmer to become really good if he does not have clear and practical training available on such a technical and complicated subject.

What are some points you will learn in this book?


The basics of Python to make you independent and start earning a salary by letting you take on companies without problems
Intermediate Python skills to get you above the competition and start an important career
Advanced Python skills to become one of your city's best programmers and earn a six-digit annual salary
Super-intensive notions of Python to make you one of the most experienced and coveted programmers by companies and get to be able to ask up to $ 200,000 a year in salary
The five fundamental steps to make you able to analyze data impeccably (The process is everything!)
The importance of big data and how it will make you a truly expert programmer
Machine learning - deep analysis
Pandas Library course to rise above the competition


Python for Data Analysis is ideal for those who want a complete education explained in a simple language and in a detailed way about Python and data analysis, from the beginner course to the advanced course. Buy the audiobook now.

GENRE
Science & Nature
NARRATOR
NC
Nathan Conkey
LENGTH
03:19
hr min
RELEASED
2020
June 8
PUBLISHER
Stubborn Ltd
PRESENTED BY
Audible.co.uk
LANGUAGE
EN
English
SIZE
163.7
MB