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The Data Analysis Workshop
The Data Analysis Workshop

The Data Analysis Workshop: Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

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Profile Icon Gururajan Govindan Profile Icon Shubhangi Hora Profile Icon Konstantin Palagachev
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$38.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (21 Ratings)
Paperback Jul 2020 626 pages 1st Edition
eBook
$26.99
Paperback
$38.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Gururajan Govindan Profile Icon Shubhangi Hora Profile Icon Konstantin Palagachev
Arrow right icon
$38.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (21 Ratings)
Paperback Jul 2020 626 pages 1st Edition
eBook
$26.99
Paperback
$38.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$26.99
Paperback
$38.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Get to grips with data analysis by studying use cases from different fields
  • Develop your critical thinking skills by following tried-and-true data analysis
  • Learn how to use conclusions from data analyses to make better business decisions

Description

Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them, and leverage the results to help transform your business. The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you’ll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data. By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst.

Who is this book for?

The Data Analysis Workshop is for programmers who already know how to code in Python and want to use it to perform data analysis. If you are looking to gain practical experience in data science with Python, this book is for you.

What you will learn

  • Get to grips with the fundamental concepts and conventions of data analysis
  • Understand how different algorithms help you to analyze the data effectively
  • Determine the variation between groups of data using hypothesis testing
  • Visualize your data correctly using appropriate plotting points
  • Use correlation techniques to uncover the relationship between variables
  • Find hidden patterns in data using advanced techniques and strategies
Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free $6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 29, 2020
Length: 626 pages
Edition : 1st
Language : English
ISBN-13 : 9781839211386
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What do you get with Print?

Product feature icon Instant access to your digital copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Redeem a companion digital copy on all Print orders
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
Product feature icon AI Assistant (beta) to help accelerate your learning
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Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free $6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

Product Details

Publication date : Jul 29, 2020
Length: 626 pages
Edition : 1st
Language : English
ISBN-13 : 9781839211386
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total $ 121.97
The Data Analysis Workshop
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The Data Wrangling Workshop
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The Data Science Workshop
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Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
(21 Ratings)
5 star 57.1%
4 star 23.8%
3 star 19%
2 star 0%
1 star 0%
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Alan Dec 09, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a good learning tool for beginners as well as a great reference book for the more experienced. You do need to be versed in Python before reading, although being a programmer in VBA, I was able to get the gist of what the programs were doing (programming fundamentals). It covers many different and increasingly complex datasets and shows how to turn them into meaningful data insights. I would recommend it to anyone that wants to gain serious knowledge about data analysis.
Amazon Verified review Amazon
Casie McNeil Apr 08, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book did a wonderful job stepping through the process of evaluating data. It used real world data sets and provided the code to perform exploratory data analysis (EDA) and simple modeling. The exercises provided great explanations for what plots help identify interesting features in a data set, and how to determine the impact those features have on a target. It is a very well thought out introduction to data analysis and data science.
Amazon Verified review Amazon
Artgor Oct 18, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is quite a good book on data analytics and data science.It starts with exploratory data analysis and getting insights from the data.Next are statistical tests for hypothesis testing with a lot of examples. The book covers a lot of other topics including but not limited to time-series, classification, clustering, analysis of feature interactions. Every step has well commented code and illustrations or informative visualizations with detailed explanations.I liked that the book worked with datasets from different domains, thus showing readers that real world datasets have a great variety and require different approaches.I have learnt some new ideas and practical things, so I'm glad I have read this book. I recommend it to those who started studying data analytics and data science recently and want to improve their theoretical knowledge and practical skills.
Amazon Verified review Amazon
Alexandre Santos Guedes Oct 21, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
First of all, I am a tech outsider trying to get into the data analysis field. I'm starting to learn the R Language, and this information is essential because the book is all based on Python.However, as the book is titled, The Data Analysis Workshop, the authors made it accessible, guiding the reader from setting up the environment with Anaconda and Jupyter to installing the libraries, bringing the book with many examples and practical exercises.Another score is that all graphs are in colors and well-formatted, which brings a good visualization of the analysis.I recommend this book to whoever wants to start using Python and for those that already have some knowledge and want to improve the data analysis skills.
Amazon Verified review Amazon
Nhikki v May 04, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great data analysis with python book with 10 different scenarios. Datasets provided too so you can do your own analysis and the exercises. Perfect to practice and gain experience.
Amazon Verified review Amazon
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All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


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Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
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Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

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Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela