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Dealing With Data Pocket Primer. A Comprehensive Guide to Data Handling Techniques Mercury Learning and Information, Oswald Campesato

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Dealing With Data Pocket Primer. A Comprehensive Guide to Data Handling Techniques Mercury Learning and Information, Oswald Campesato - okladka książki

Dealing With Data Pocket Primer. A Comprehensive Guide to Data Handling Techniques Mercury Learning and Information, Oswald Campesato - okladka książki

Dealing With Data Pocket Primer. A Comprehensive Guide to Data Handling Techniques Mercury Learning and Information, Oswald Campesato - audiobook MP3

Dealing With Data Pocket Primer. A Comprehensive Guide to Data Handling Techniques Mercury Learning and Information, Oswald Campesato - audiobook CD

Autorzy:
Mercury Learning and Information, Oswald Campesato
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
246
Dostępne formaty:
     PDF
     ePub
This book introduces the basic concepts of managing data using various computer languages and applications. It is designed as a fast-paced introduction to key features of data management, including statistical concepts, data-related techniques, Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. The companion files with source code and color figures enhance the learning experience.
Understanding these concepts is crucial for anyone looking to manage data effectively. The book covers the fundamentals of probability and statistics, working with data using Pandas, managing databases with SQL and MySQL, and cleaning data using NLP techniques. It also delves into data visualization, providing practical insights and numerous code samples.
The journey begins with an introduction to probability and statistics, moving on to working with data and Pandas. It then covers RDBMS and SQL, focusing on practical SQL and MySQL usage. The book concludes with NLP, data cleaning, and visualization techniques, equipping readers with a comprehensive understanding of data management.

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O autorach książki

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

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