Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach
Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task.
Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach
Artikelnr.: 91791440

Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach

Artikelnr.: 91791440

€ 43

€ 72

Prijsdetails

Exclusief verzend- en douanekosten ( Verzend- en douanekosten worden berekend bij het afrekenen )

*Alle artikelen worden geïmporteerd vanuit VS

40%

Op voorraad
VS Geïmporteerd uit USA

QTY:

Nog slechts 2 artikelen op voorraad.
Bestel nu en ontvang het rond Vrijdag, Oktober 09
Onze beste bezorgdiensten
  • fedex
  • dhl
Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task.
Meer weergeven
U-Care-garantie:
Geen
Selecteer een abonnement
buy now pay later

Koop nu, betaal later

fast shipping

Spoedbestelling

free return

Gratis
retourneren*

Stevig verpakt

Stevig verpakt

100% Origineel product

100% Origineel product

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified


paypal payment
visa payment
mastercard payment
klarna payment
ideal | wero payment
Note: Step Down Voltage Transformer required for using electronics products of VS store (110-120). Recommended power converters Nu kopen.

Wat opvalt

Dual Programming Focus
Combines R and Python, enabling readers to leverage both programming languages for diverse analytical needs, equipping them with a broad skill set to tackle various business challenges effectively.
Data-Driven Approach
Emphasizes practical, data-driven methodologies that address real-world business problems, providing actionable insights that enhance decision-making and foster strategic planning for organizations.
Updated Content
Second edition includes the latest trends and best practices in business analytics, ensuring readers are well-informed about current tools and techniques vital for successful analytics implementation.

Productdetails

Shop Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach online at a best price in Nederlands. 1484287533
  • This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You’ll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy.Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics.What You Will LearnMaster the mathematical foundations required for business analyticsUnderstand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given taskUse R and Python to develop descriptive models, predictive models, and optimize modelsInterpret and recommend actions based on analytical model outcomesWho This Book Is ForSoftware professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.
Publisher Apress
Publication date April 4, 2023
Edition Second
Language English
Print length 731 pages
ISBN-10 1484287533
ISBN-13 978-1484287538
Item Weight 2.8 pounds (1.27 kg)
Dimensions 7 x 1.5 x 10 inches (17.8 x 3.8 x 25.4 cm)

Voor wie is dit geschikt?

Suitable For
  • Data Analysts

    Ideal for data analysts seeking to enhance their skills in R and Python for business analytics applications.

  • Business Students

    Beneficial for business students wanting to understand practical applications of data analytics in real-world scenarios.

  • Industry Professionals

    Useful for professionals in business roles looking to leverage data analytics to inform decision-making processes.

Not Suitable For
  • Beginners

    Not suitable for complete beginners without prior knowledge of R, Python, or data analytics principles.

PRODUCTBESCHRIJVING

Heeft u een vraag? Chat met ons

Vragen en antwoorden van klanten

  • vraag: Hoe kan ik Practical Business Analytics Using R and Python: online winkelen bij Ubuy?

    antwoord: Het is gemakkelijk om Practical Business Analytics Using R and Python: online te winkelen bij Ubuy.. U hoeft alleen maar naar het product te zoeken, uw verzendmethode te kiezen tijdens het afrekenen en het op uw locatie te laten bezorgen.
  • vraag: Is Practical Business Analytics Using R and Python: beschikbaar om online te winkelen in Netherlands?

    antwoord: Ja, bij Ubuy Netherlands kun je dit product tegen een redelijke prijs kopen.. De Practical Business Analytics Using R and Python: is lokaal niet beschikbaar, maar u kunt ons vertrouwen met onze expresverzendingsdiensten.
  • vraag: Hoe lang duurt het om het product te krijgen na het plaatsen van de bestelling?

    antwoord: De levertijd van je bestelde product hangt af van wat je hebt besteld en de verzendmethode die je hebt gekozen.. De geschatte levertijd wordt vermeld tijdens het afrekenen, wees dus zorgeloos tijdens het winkelen.

Intelligence & Semantics Editorial Review

**** "Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach" (2nd Edition) has received enthusiastic praise from various users, highlighting its effectiveness as both an educational resource and a practical guide. Reviewers from academia and the business analytics field commend the book for its comprehensive coverage of essential topics relevant to data analysts. The use of real-world examples, coupled with clear explanations and practical code snippets in R and Python, makes it a vital asset for both novice learners and experienced professionals. Many users emphasized how the book simplifies complex concepts in data manipulation, visualization, and predictive modeling, making them more approachable. This hands-on approach, particularly through the use of popular libraries like Pandas and Scikit-Learn, allows users to apply their knowledge directly to real business scenarios. The book is recommended not just as a textbook for classroom use but also for self-study, reflecting its versatility. With the author, Dr. Umesh, being recognized for his expertise in the field, there's a commendable appreciation for the author's ability to present intricate analytical topics in an accessible manner. The structured organization of the content further enhances its appeal, catering to a wide audience with varying levels of expertise. Overall, "Practical Business Analytics Using R and Python" comes across as a highly valued resource in the business analytics domain, fostering a robust understanding of data-driven problem-solving. **

Klantbeoordelingen en -waardering

4.8
9 klantenbeoordelingen
  • 5 ster
    80%
  • 4 ster
    20%
  • 3 ster
    0%
  • 2 ster
    0%
  • 1 ster
    0%

Beoordeel dit product

Deel uw mening met andere klanten

Voordelen

  • Clear explanations of complex concepts
  • Hands-on approach with practical code examples in R and Python
  • Comprehensive coverage of relevant business analytics topics
  • Suitable for both beginners and experienced analysts
  • Well-organized content that facilitates learning and application
  • Useful for classroom teaching and self-study

Nadelen

  • No notable Cons have been mentioned in the reviews.

Prijsgeschiedenis van het product

Belangrijke informatie

  • Beperkingen: voor producten die internationaal worden verzonden, gelieve er rekening mee te houden dat eventuele fabrieksgaranties mogelijk niet geldig zijn; ondersteuningsopties van de fabrikant zijn mogelijk niet beschikbaar; producthandleidingen, instructies en veiligheidswaarschuwingen zijn mogelijk niet in de taal van het land van bestemming; de producten (en bijbehorende materialen) zijn mogelijk niet ontworpen in overeenstemming met de normen, specificaties en etiketteringsvereisten van het land van bestemming; en de producten zijn mogelijk niet in overeenstemming met de voltage- en andere elektriciteitsstandaarden van het land van bestemming (waardoor het gebruik van een adapter of omvormer nodig is, indien van toepassing). De ontvanger is ervoor verantwoordelijk zich ervan te verzekeren dat het product rechtmatig kan worden geïmporteerd naar het land van bestemming. Bij het bestellen bij Ubuy of diens partners geldt de ontvanger als de geregistreerde invoerder en dient zich als zodanig te houden aan alle wetten en voorschriften van het land van bestemming.
  • Omdat Ubuy een wereldwijde zoekmachine is, zijn niet alle producten die op Ubuy worden vermeld ook te koop. Producten zijn onderworpen aan wetgeving inzake export en handel.