Order Total (1 Item Items):
Shipping Destination:
Practical Data Analysis Using by Wintjen Marc (17 results)
Feedback
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (17)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (17)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (3)
- Not Print on Demand (13)
Language (2)
Free Shipping
Seller Location
Seller Rating
-
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
-
paperback. Condition: New. Softcover.
-
Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting useful and actionable insights using Python
Published by Packt Publishing
paperback. Condition: Good. Page/Cover Damage, A copy that may have been read, minimal to no highlighting/underlining of text, no missing pages. May have a remainder mark. Spine may show signs of wear. Could be a library copy.
-
US$ 39.85
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
US$ 38.51
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Practical Data Analysis using Jupyter Notebook (Paperback or Softback)
Published by Packt Publishing 6/19/2020, 2020
ISBN 10: 1838826033 ISBN 13: 9781838826031
Language: English
Paperback or Softback. Condition: New. Practical Data Analysis using Jupyter Notebook 1.22. Book.
-
Condition: New.
-
US$ 43.88
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Practical Data Analysis using Jupyter Notebook: Learn how to speak the language of data by extracting useful and actionable insights using Python
Published by Packt Publishing 2020-06, 2020
ISBN 10: 1838826033 ISBN 13: 9781838826031
Language: English
US$ 40.02
Convert currencyUS$ 20.78 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPF. Condition: New.
-
Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting useful and actionable insights using Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 45.79
Convert currencyUS$ 16.07 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Practical Data Analysis using Jupyter Notebook
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 43.45
Convert currencyUS$ 20.13 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Practical Data Analysis using Jupyter Notebook
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 49.86
Convert currencyUS$ 20.13 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
US$ 53.57
Convert currencyUS$ 56.95 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. The book will take you on a journey through the evolution of data analysis explaining each step in the process in a very simple and easy to understand manner. You will learn how to use various Python libraries to work with data. Learn how to sift through th.
-
Practical Data Analysis Using Jupyter Notebook
Published by Packt Publishing Limited, 2020
ISBN 10: 1838826033 ISBN 13: 9781838826031
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 46.56
Convert currencyUS$ 6.74 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
Practical Data Analysis Using Jupyter Notebook
Published by Packt Publishing, Limited, 2020
ISBN 10: 1838826033 ISBN 13: 9781838826031
Language: English
US$ 51.45
Convert currencyUS$ 8.72 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand pp. 322.
-
Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting useful and actionable insights using Python
Published by Packt Publishing Limited, 2020
ISBN 10: 1838826033 ISBN 13: 9781838826031
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 50.53
Convert currencyUS$ 16.11 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
-
US$ 66.46
Convert currencyUS$ 36.05 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter NotebookKey FeaturesFind out how to use Python code to extract insights from data using real-world examplesWork with structured data and free text sources to answer questions and add value using dataPerform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing dataBook DescriptionData 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.What you will learnUnderstand the importance of data literacy and how to communicate effectively using dataFind out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysisWrangle data and create DataFrames using pandasProduce charts and data visualizations using time-series datasetsDiscover relationships and how to join data together using SQLUse NLP techniques to work with unstructured data to create sentiment analysis modelsDiscover patterns in real-world datasets that provide accurate insightsWho this book is forThis 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.
