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Practical Data Analysis Using Jupyter Notebook
Practical Data Analysis Using Jupyter Notebook

Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting useful and actionable insights using Python

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Key benefits

  • Find out how to use Python code to extract insights from data using real-world examples
  • Work with structured data and free text sources to answer questions and add value using data
  • Perform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing data

Description

Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This book combines these two concepts by sharing proven techniques and hands-on examples so that you can learn how to communicate effectively using data. After introducing you to the basics of data analysis using Jupyter Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to clean, wrangle, analyze, and visualize data to gain useful insights, and you'll discover how to answer questions using data with easy-to-follow steps. Later chapters teach you about storytelling with data using charts, such as histograms and scatter plots. As you advance, you'll understand how to work with unstructured data using natural language processing (NLP) techniques to perform sentiment analysis. All the knowledge you gain will help you discover key patterns and trends in data using real-world examples. In addition to this, you will learn how to handle data of varying complexity to perform efficient data analysis using modern Python libraries. By the end of this book, you'll have gained the practical skills you need to analyze data with confidence.

Who is this book for?

This book is for aspiring data analysts and data scientists looking for hands-on tutorials and real-world examples to understand data analysis concepts using SQL, Python, and Jupyter Notebook. Anyone looking to evolve their skills to become data-driven personally and professionally will also find this book useful. No prior knowledge of data analysis or programming is required to get started with this book.

What you will learn

  • Understand the importance of data literacy and how to communicate effectively using data
  • Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis
  • Wrangle data and create DataFrames using pandas
  • Produce charts and data visualizations using time-series datasets
  • Discover relationships and how to join data together using SQL
  • Use NLP techniques to work with unstructured data to create sentiment analysis models
  • Discover patterns in real-world datasets that provide accurate insights

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 19, 2020
Length: 322 pages
Edition : 1st
Language : English
ISBN-13 : 9781838825096
Category :
Languages :
Concepts :
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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
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Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Publication date : Jun 19, 2020
Length: 322 pages
Edition : 1st
Language : English
ISBN-13 : 9781838825096
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total $ 126.97
Python Data Analysis
$38.99
Practical Data Analysis Using Jupyter Notebook
$38.99
Python Data Cleaning Cookbook
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Total $ 126.97 Stars icon
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Full star icon Full star icon Full star icon Half star icon Empty star icon 3.9
(9 Ratings)
5 star 55.6%
4 star 11.1%
3 star 11.1%
2 star 11.1%
1 star 11.1%
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Amazon Customer - EF Sep 14, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Do NOT listen to the bad reviews, they must have something against the author of the book. This book was VERY well-written, easy to understand, and useful. Highly recommend!!
Amazon Verified review Amazon
Richard Lyons Mar 15, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Step by step guides are essential!
Amazon Verified review Amazon
Josef Bauer Aug 19, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Für mich genau der richtige Einstieg in die Data Analysis Welt und Jupyter Notebook. Etwas Python-Kenntnisse sind allerdings sehr von Vorteil.
Amazon Verified review Amazon
Amazon Customer Nov 27, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Being a novice, I found this book very well written, informative and above all, helpful. The author knows how to explain concepts in easy to understand language - I didn’t have to google every other word.
Amazon Verified review Amazon
JuliaA Sep 16, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
great book and very fast delivery
Amazon Verified review Amazon
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