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Programming for Data Science: 4 Books in 1. The Complete Beginners Guide you Can't Miss to Master the Era of the Data Economy, using Python, Java, SQL Coding - Couverture rigide
L'édition de cet ISBN n'est malheureusement plus disponible.
Synopsis
Do you want to master the era of data science economy? Do you want to learn the top programming languages for data science? If yes, then keep reading!
One of the core elements of economic growth in the twenty-first century is the data economy .
We are all required to educate ourselves about a paradigm that represents only the very beginning of a genuine industrial revolution, this time driven by data. Data we generate, store, share, yze, data that describes us, pinpoints where we are, reveals our tastes and preferences, our opinions and also those of our network of family and friends.
Data has become a crucial input for any economic process.
There is more data being produced daily these days than there was ever produced in even the past centuries! In such a scenario, Data Science is obviously a very popular field as it is important to yze and process this data to obtain useful insights. According to an IBM report published on Forbes , data science has been ranked the best job in tech for the last 3 years .
But in order to be able to assess and yze the data gathered, you need the best data science tools and skills .
In this beginners and practical guide , you are going to learn the best programming language for data science in 2020, the mostly used by other data scientists and that employers are constantly looking.
This is a complete guide, with 4 Books in 1: Python crash course Python for data ysis Java programming for beginners Sql for beginners
Python is one of the best programming languages for data science because of its capacity for statistical ysis, data modeling, and easy readability. Another reason for this huge success of Python in Data Science is its extensive library support for data science and ytics. There are many Python libraries that contain a host of functions, tools, and methods to manage and yze data.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurCharlie Creative Lab
- Date d'édition2020
- ISBN 10 180123518X
- ISBN 13 9781801235181
- ReliureRelié
- Langueanglais
- Nombre de pages612
- Coordonnées du fabricantnon disponible
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