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Data Wrangling with Python 3.x
Data Wrangling with Python 3.x

Data Wrangling with Python 3.x: Extract, transform, and load data for effective data analysis

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Profile Icon Jamshaid Sohail
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€103.99
Video Jan 2019 3hrs 35mins 1st Edition
Video
€103.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Jamshaid Sohail
Arrow right icon
€103.99
Video Jan 2019 3hrs 35mins 1st Edition
Video
€103.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€103.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • Step-by-step guides on installing Python and setting up data environments.
  • Hands-on projects involving real-world data sets.
  • Comprehensive coverage of multiple data formats and their handling.
  • Detailed instructions on both statistical analysis and data visualization techniques.

Description

You might be working in an organization, or have your own business, where data is being generated continuously (structured or unstructured) and you are looking to develop your skillset so you can jump into the field of Data Science. This hands-on guide shows programmers how to process information. In this course, you will gather data, prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, and more! This course will equip us with the tools and technologies, also we need to analyze the datasets using Python so that we can confidently jump into the field and enhance our skill set. The best part of this course is the takeaway code templates generated using the real-life dataset. Towards the end of the course, we will build an intuitive understanding of all the aspects available in Python for Data Wrangling. All codes and supporting files are placed on GitHub at this link: https://github.com/PacktPublishing/-Data-Wrangling-with-Python-3.x

Who is this book for?

This course is for Python developers, data analysts, and IT professionals who are keen to explore data analytics/insights to enrich their current personal or professional projects. Having a rudimentary idea about relational database and SQL would be a bonus. Even seasoned Python developers can benefit from this course as it focuses on data engineering aspects.

What you will learn

  • Install and configure Python and necessary libraries
  • Parse and manipulate data from CSV and JSON formats
  • Scrape web data for analysis and storage
  • Extract and transform data from Excel and PDF files
  • Utilize SQLite and MongoDB for data storage
  • Clean and prepare data for analysis
  • Perform advanced statistical analysis
  • Visualize data insights using Python's powerful libraries

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Feb 20, 2026
Publication date : Jan 31, 2019
Length: 3hrs 35mins
Edition : 1st
Language : English
ISBN-13 : 9781789956597
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Languages :
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What do you get with a video?

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Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Last updated date : Feb 20, 2026
Publication date : Jan 31, 2019
Length: 3hrs 35mins
Edition : 1st
Language : English
ISBN-13 : 9781789956597
Category :
Languages :
Concepts :
Tools :

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Table of Contents

7 Chapters
Gathering and Parsing Data Chevron down icon Chevron up icon
Working with Data from Excel and PDF Files Chevron down icon Chevron up icon
Storing Data in Persistent Storage Chevron down icon Chevron up icon
Cleaning Structured Data Chevron down icon Chevron up icon
More Data Cleaning and Transformation Chevron down icon Chevron up icon
Performing Statistical Analysis Chevron down icon Chevron up icon
Let the Visualizations Tell the Story Chevron down icon Chevron up icon
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