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Data Literacy With Python
Data Literacy With Python

Data Literacy With Python: A Comprehensive Guide to Understanding and Analyzing Data with Python

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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€8.99 €37.99
eBook Jul 2024 271 pages 1st Edition
eBook
€8.99 €37.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
€8.99 €37.99
eBook Jul 2024 271 pages 1st Edition
eBook
€8.99 €37.99
eBook
€8.99 €37.99

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Key benefits

  • Step-by-step explanations for all key concepts
  • Practical examples and hands-on exercises
  • Comprehensive coverage of data analysis, statistics, and visualization

Description

This book ushers readers into the world of data, emphasizing its importance in modern industries and how its management leads to insightful decision-making. Using Python 3, the book introduces foundational data tasks and progresses to advanced model training concepts. Detailed, step-by-step Python examples help readers master training models, starting with the kNN algorithm and moving to other classifiers with minimal code adjustments. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced for hands-on chart and graph rendering. The course begins with working with data, detecting outliers and anomalies, and cleaning datasets. It then introduces statistics and progresses to using Matplotlib and Seaborn for data visualization. Each chapter builds on the previous one, ensuring a comprehensive understanding of data management and analysis. These concepts are crucial for making data-driven decisions. This book transitions readers from basic data handling to advanced model training, blending theoretical knowledge with practical skills. Companion files with source code and data sets enhance the learning experience, making this book an invaluable resource for mastering data science with Python.

Who is this book for?

This book is ideal for beginners and intermediate data analysts, data scientists, and Python programmers. A basic understanding of Python is recommended but not required, as the book includes an introduction to Python. No prior knowledge of data analysis is necessary, making it accessible to anyone interested in data literacy.

What you will learn

  • Understand the basics of data literacy
  • Identify and handle outliers and anomalies
  • Clean and preprocess datasets
  • Apply statistical methods
  • Visualize data using Matplotlib and Seaborn
  • Utilize Python and Pandas for data analysis

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 30, 2024
Length: 271 pages
Edition : 1st
Language : English
ISBN-13 : 9781836640080
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...
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Product Details

Publication date : Jul 30, 2024
Length: 271 pages
Edition : 1st
Language : English
ISBN-13 : 9781836640080
Category :
Concepts :

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Table of Contents

6 Chapters
Chapter 1: Working With Data Chevron down icon Chevron up icon
Chapter 2: Outlier and Anomaly Detection Chevron down icon Chevron up icon
Chapter 3: Cleaning Datasets Chevron down icon Chevron up icon
Chapter 4: Introduction to Statistics Chevron down icon Chevron up icon
Chapter 5: Matplotlib and Seaborn Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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