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Dealing With Data Pocket Primer
Dealing With Data Pocket Primer

Dealing With Data Pocket Primer: A Comprehensive Guide to Data Handling Techniques

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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$9.99 $41.99
eBook Aug 2024 246 pages 1st Edition
eBook
$9.99 $41.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
$9.99 $41.99
eBook Aug 2024 246 pages 1st Edition
eBook
$9.99 $41.99
eBook
$9.99 $41.99

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Key benefits

  • Comprehensive coverage of data science fundamentals
  • Practical examples and clear explanations
  • Advanced topics in NLP and data visualization

Description

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.

Who is this book for?

Ideal for data science enthusiasts, professionals, and students, this book requires a basic understanding of mathematics and programming. It serves as an excellent resource for those looking to strengthen their data handling skills and gain practical knowledge in data science.

What you will learn

  • Understand probability and statistics
  • Preprocess various data types
  • Work with Pandas for data manipulation
  • Perform SQL operations
  • Implement NLP techniques
  • Visualize data effectively

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 01, 2024
Length: 246 pages
Edition : 1st
Language : English
ISBN-13 : 9781836649922
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Payment Processing...
tick Completed

Billing Address

Product Details

Publication date : Aug 01, 2024
Length: 246 pages
Edition : 1st
Language : English
ISBN-13 : 9781836649922
Category :
Concepts :

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Table of Contents

8 Chapters
Chapter 1: Introduction to Probability and Statistics Chevron down icon Chevron up icon
Chapter 2: Working with Data Chevron down icon Chevron up icon
Chapter 3: Introduction to Pandas Chevron down icon Chevron up icon
Chapter 4: Introduction to RDBMS and SQL Chevron down icon Chevron up icon
Chapter 5: Working with SQL and MySQL Chevron down icon Chevron up icon
Chapter 6: NLP and Data Cleaning Chevron down icon Chevron up icon
Chapter 7: Data Visualization Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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