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Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach
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€ 43
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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.
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Ce qui se démarque
Détails du produit
| Publisher | Apress |
| Publication date | April 4, 2023 |
| Edition | 2nd ed. |
| 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) |
À qui est-ce destiné ?
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Data Analysts
Ideal for data analysts seeking to enhance their skills in R and Python for business analytics applications.
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Business Students
Beneficial for business students wanting to understand practical applications of data analytics in real-world scenarios.
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Industry Professionals
Useful for professionals in business roles looking to leverage data analytics to inform decision-making processes.
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Beginners
Not suitable for complete beginners without prior knowledge of R, Python, or data analytics principles.
DESCRIPTION DU PRODUIT
Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach
Questions et réponses des clients
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question:
Who is this book intended for?
répondre: It is designed for software professionals, managers, and executives interested in learning business analytics using R and Python. -
question:
What programming languages are covered in the book?
répondre: The book includes practical insights using both R and Python for data analytics. -
question:
What analytics concepts will I learn?
répondre: You will learn about regression models, supervised and unsupervised machine learning, clustering, and natural language processing.
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. **
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Avantages
- 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
Les inconvénients
- No notable Cons have been mentioned in the reviews.
CONFIANCE EN LA PLATEFORME & PROTECTION DE L'ACHETEUR
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€ 43
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Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.
Caractéristiques et avantages
- Master business analytics foundations for impactful decision-making.
- Learn predictive and unsupervised modeling techniques using R and Python.
- Discover how to interpret analytical model outcomes for actionable insights.
- Explore database management, SQL, and natural language processing in-depth.
- Utilize statistical machine learning concepts for better business outcomes.
- Ideal for software professionals, managers, and executives eager to grasp analytics.
Assurance Ubuy
Profitez d'une expérience d'achat sereine avec des produits 100 % originaux, une sécurité de paiement conforme PCI DSS, une protection des données certifiée ISO 27001, la livraison transfrontalière la plus rapide, les retours gratuits* et un emballage sécurisé pour chaque commande.