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Plongez dans la science des données : utilisez Python pour relever votre défi commercial le plus difficile...
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- Achat immédiatPlongez dans la science des données : utilisez Python pour relever votre défi commercial le plus difficile...
Expédition :
Lieu : Jessup, Maryland, États-Unis
Livraison :
Livraison prévue entre le lun. 3 juin et le ven. 7 juin à 43230
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Numéro de l'objet eBay :364393777785
Dernière mise à jour : mai 24, 2024 13:07:04 HAEAfficher toutes les modificationsAfficher toutes les modifications
Caractéristiques de l'objet
- État
- Book Title
- Dive into Data Science : Use Python to Tackle Your Toughest Busin
- ISBN
- 9781718502888
- Publication Year
- 2023
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Dive Into Data Science : Use Python to Tackle Your Toughest Business Challenges
- Item Height
- 0.7in
- Item Length
- 9.2in
- Publisher
- No Starch Press, Incorporated
- Item Width
- 7in
- Item Weight
- 19.8 Oz
- Number of Pages
- 288 Pages
À propos de ce produit
Product Information
Learn how to use data science and Python to solve everyday business problems. Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges. With only a basic understanding of Python and high school math, you'll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you'll discover how to find and use data-driven solutions to make business decisions. Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms. You'll also learn how to- Forecast consumer demand Optimize marketing campaignsReduce customer attritionPredict website trafficBuild recommendation systems With this practical guide at your fingertips, harness the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don't wait; dive right in!
Product Identifiers
Publisher
No Starch Press, Incorporated
ISBN-10
1718502885
ISBN-13
9781718502888
eBay Product ID (ePID)
7057291848
Product Key Features
Publication Name
Dive Into Data Science : Use Python to Tackle Your Toughest Business Challenges
Format
Trade Paperback
Language
English
Publication Year
2023
Type
Textbook
Number of Pages
288 Pages
Dimensions
Item Length
9.2in
Item Height
0.7in
Item Width
7in
Item Weight
19.8 Oz
Additional Product Features
Lc Classification Number
Hd30.28
Reviews
" Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come." --David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group, " Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come." --David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group "I highly recommend this book as your introduction to Data Science. You'll use the most important Python data science packages, work with real data, and learn how to visualize and analyze data in ways that today's data scientists do. The trick to writing an introductory Data Science book is to land on the right balance between 'now watch what this magical line of Python code does' and 'here's what's happening and what this approach is good for'. I think Dr. Tuckfield has done it." --Dr. Daniel Zingaro, Associate Professor of Computer Science at UT Mississauga and author of Algorithmic Thinking and Learn to Code by Solving Problems, "Strikes a nice balance of explaining fundamental data science concepts and theories, while also equipping readers with hands-on practice with Python. . . . definitely a good place to start data science." --Ben Dickson, TechTalks " Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come." --David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group "Another nice learning resource for newbie data scientists." --Daniel D. Gutierrez, Editor-in-Chief, insideBIGDATA "I highly recommend this book . . . The trick to writing an introductory Data Science book is to land on the right balance between 'now watch what this magical line of Python code does' and 'here's what's happening and what this approach is good for'. I think Dr. Tuckfield has done it." --Dr. Daniel Zingaro, author of Algorithmic Thinking and Learn to Code by Solving Problems " Dive Into Data Science is a concise, accessible guide that demystifies the essential tools and techniques used by data scientists, allowing anyone with a basic understanding of programming to explore and analyze data like a pro." --Allen B. Downey, Staff Producer at Brilliant and author of Elements of Data Science and Modeling and Simulation in Python "Comprehensive and thoroughly 'user friendly' in in organization and presentation, [ Dive Into Data Science ] is the ideal instructional reference guide to utilizing Python as a basic and essential part of doing business in today's increasing complex, competitive, and digital world . . . . a highly recommended addition to personal, professional, community, corporate, college, and university library Computer Programming & Business Management collections and supplemental MBA curriculum studies lists." --Midwest Book Review, "Strikes a nice balance of explaining fundamental data science concepts and theories, while also equipping readers with hands-on practice with Python. . . . definitely a good place to start data science." --Ben Dickson, TechTalks " Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come." --David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group "I highly recommend this book as your introduction to Data Science. You'll use the most important Python data science packages, work with real data, and learn how to visualize and analyze data in ways that today's data scientists do. The trick to writing an introductory Data Science book is to land on the right balance between 'now watch what this magical line of Python code does' and 'here's what's happening and what this approach is good for'. I think Dr. Tuckfield has done it." --Dr. Daniel Zingaro, Associate Professor of Computer Science at UT Mississauga and author of Algorithmic Thinking and Learn to Code by Solving Problems " Dive Into Data Science is a concise, accessible guide that demystifies the essential tools and techniques used by data scientists, allowing anyone with a basic understanding of programming to explore and analyze data like a pro." --Allen B. Downey, Staff Producer at Brilliant and author of Elements of Data Science and Modeling and Simulation in Python, "Strikes a nice balance of explaining fundamental data science concepts and theories, while also equipping readers with hands-on practice with Python. . . . definitely a good place to start data science." --Ben Dickson, TechTalks " Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come." --David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group "Another nice learning resource for newbie data scientists." --Daniel D. Gutierrez, Editor-in-Chief, insideBIGDATA "I highly recommend this book . . . The trick to writing an introductory Data Science book is to land on the right balance between 'now watch what this magical line of Python code does' and 'here's what's happening and what this approach is good for'. I think Dr. Tuckfield has done it." --Dr. Daniel Zingaro, author of Algorithmic Thinking and Learn to Code by Solving Problems " Dive Into Data Science is a concise, accessible guide that demystifies the essential tools and techniques used by data scientists, allowing anyone with a basic understanding of programming to explore and analyze data like a pro." --Allen B. Downey, Staff Producer at Brilliant and author of Elements of Data Science and Modeling and Simulation in Python
Table of Content
Acknowledgments Introduction Chapter 1: Exploratory Data Analysis Chapter 2: Forecasting Chapter 3: Group Comparisons Chapter 4: A/B Testing Chapter 5: Binary Classification Chapter 6: Supervised Learning Chapter 7: Unsupervised Learning Chapter 8: Web Scraping Chapter 9: Recommendation Systems Chapter 10: Natural Language Processing Chapter 11: Data Science in Other Languages Index
Topic
Data Visualization, Economics / General, Databases / Data Mining, Statistics
Lccn
2022-051900
Dewey Decimal
658.40120285
Intended Audience
Trade
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Business & Economics
Description de l'objet du vendeur
Le vendeur assume l'entière responsabilité de cette annonce.
Numéro de l'objet eBay :364393777785
Dernière mise à jour : mai 24, 2024 13:07:04 HAEAfficher toutes les modificationsAfficher toutes les modifications
Expédition et manutention
Lieu où se trouve l'objet :
Jessup, Maryland, États-Unis
Expédition :
Afghanistan, Afrique du Sud, Albanie, Algérie, Allemagne, Amériques, Andorre, Anguilla, Antigua-et-Barbuda, Argentine, Arménie, Aruba, Australie, Autriche, Azerbaïdjan, Bahamas, Bahreïn, Bangladesh, Belgique, Bermudes, Bhoutan, Bolivie, Bosnie-Herzégovine, Brunéi Darussalam, Bulgarie, Burkina Faso, Burundi, Bélize, Bénin, Cambodge, Cameroun, Canada, Chili, Chine, Chypre, Colombie, Corée du Sud, Costa Rica, Côte d'Ivoire, Danemark, Djibouti, Espagne, Estonie, Europe, Fidji, Finlande, Gabon, République du, Gambie, Ghana, Gibraltar, Grenade, Groenland, Grèce, Guatemala, Guinée, Guinée équatoriale, Guinée-Bissau, Guyana, Géorgie, Haïti, Honduras, Hong Kong, Hongrie, Inde, Indonésie, Irlande, Islande, Israël, Italie, Jamaïque, Japon, Jordanie, Kazakhstan, Kenya, Kirghizistan, Kiribati, Koweït, Lettonie, Liban, Libéria, Liechtenstein, Lituanie, Luxembourg, Macao, Madagascar, Malaisie, Malawi, Maldives, Mali, Malte, Maroc, Mauritanie, Mexique, Moldavie, Monaco, Mongolie, Montserrat, Monténégro, Mozambique, Namibie, Nauru, Nicaragua, Niger, Norvège, Nouvelle-Zélande, Népal, Oman, Ouganda, Ouzbékistan, Pakistan, Panama, Papouasie-Nouvelle-Guinée, Paraguay, Pays-Bas, Philippines, Pologne, Portugal, Pérou, Qatar, Roumanie, Royaume-Uni, Rwanda, République de Croatie, République dominicaine, République du Congo, République démocratique du Congo, République tchèque, Saint-Kitts-et-Nevis, Saint-Marin, Saint-Vincent-et-les Grenadines, Sainte-Lucie, Salvador, Samoa, Serbie, Sierra Leone, Singapour, Slovaque, Slovénie, Sri Lanka, Suisse, Suriname, Suède, Sénégal, Tanzanie, Taïwan, Thaïlande, Togo, Tonga, Trinité-et-Tobago, Tunisie, Vanuatu, Vietnam, Wallis-et-Futuna, Zambie, Zimbabwe, Égypte, Émirats arabes unis, Équateur, Érythrée, État de la Cité du Vatican, Éthiopie, Îles Caïmans, Îles Salomon, Îles Turks et Caicos, Îles du Cap-Vert
Lieux exclus :
Adresses militaires ou navales, Angola, Arabie saoudite, Barbade, Botswana, Brésil, France, Guadeloupe, Guyane française, Laos, Lesotho, Libye, Macédoine, Martinique, Nigeria, Nouvelle-Calédonie, Polynésie française, Protectorats des États-Unis, Russie, République centrafricaine, Réunion, Saint-Pierre-et-Miquelon, Seychelles, Swaziland, Tadjikistan, Tchad, Turkménistan, Turquie, Ukraine, Uruguay, Venezuela, Yémen, Île Maurice
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| Expédition sans frais | Sans frais | États-Unis | Economy Shipping | Livraison prévue entre le lun. 3 juin et le ven. 7 juin à 43230 |
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o***8 (213)- Évaluation laissée par l'acheteur.
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Good condition
b***b (217)- Évaluation laissée par l'acheteur.
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Amazing transaction!! Great seller!! Thanks again! A+++++++++++
l***p (775)- Évaluation laissée par l'acheteur.
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wonder if this is really the latest edition?
it has a 2023 copyright.
I am relying on seller's statement that it was published in 2024