Se original
0 ratings
Extending Power BI with Python and R: Perform advanced analysis using the power of analytical languages
genuine image
Extending Power BI with Python and R: Perform advanced analysis using the power of analytical languages
Master data validation with regular expressions, import data from diverse sources, and apply advanced algorithms for transformation.
Extending Power BI with Python and R: Perform advanced analysis using the power of analytical languages
Vare #: 85070323

Extending Power BI with Python and R: Perform advanced analysis using the power of analytical languages

Vare #: 85070323

DKK 369

Prisdetaljer

Ekskl. fragt og told ( fragt og told beregnes ved kassen )

*Alle varer importeres fra US

På lager
US Importeret fra USA butik

QTY:

Bestil nu og få den omkring Sunday, August 16
Sikker transaktionSikker transaktion

Ubuy arbejder hårdt for at beskytte din sikkerhed og dit privatliv. Vores avancerede betalingssikkerhedssystem sikrer fortrolighed ved at kryptere dine oplysninger under transmission ved hjælp af AES (Advanced Encryption Standards) og SSL (Secure Socket Layer) protokoller. Dine betalingsoplysninger er 100% sikre, da vi ikke deler dine betalingsoplysninger med tredjepartssælgere.

Vores bedste logistikpartnere
  • fedex
  • dhl
Master data validation with regular expressions, import data from diverse sources, and apply advanced algorithms for transformation.
U-Pleje garanti:
Ingen
Vælg en plan
buy now pay later

Køb nu, betal senere

fast shipping

Hurtig
levering

free return

Gratis
returnering*

Sikker emballering

Sikker emballering

100 % originale produkter'

100 % originale produkter'

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
klarna payment
Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Køb nu.

Hvad der skiller sig ud

Advanced Analytics
Leverage Python and R within Power BI for in-depth analytics, enabling users to perform sophisticated data manipulations and statistical analyses that go beyond standard BI capabilities.
Integration Capability
Seamlessly integrates with Power BI, allowing users to combine the powerful data visualization tools of Power BI with the advanced computational power of Python and R for enriched data insights.
Enhanced Learning
Provides practical examples and advanced techniques, enhancing user knowledge in data science methodologies and empowering them to apply these skills directly in their Power BI projects for better decision-making.

Produktdetaljer

Shop Extending Power BI with Python and R: Perform advanced analysis using the power of analytical languages online at a best price in Danmark. 1837639531
Publisher Packt Publishing
Publication date March 29, 2024
Edition 2nd ed.
Language English
Print length 814 pages
ISBN-10 1837639531
ISBN-13 978-1837639533
Item Weight 3.02 pounds (1.37 kg)
Dimensions 7.5 x 1.84 x 9.25 inches (19.1 x 4.7 x 23.5 cm)

Hvem bør købe?

Suitable For
  • Data Analysts

    Ideal for data analysts needing to enhance Power BI capabilities with advanced analytics using Python and R.

  • Business Intelligence Professionals

    Beneficial for BI professionals looking to integrate statistical analysis and data visualization techniques into Power BI.

  • Advanced Users

    Suited for users familiar with programming who want to leverage analytical languages for advanced data manipulation.

Not Suitable For
  • Beginners

    Not suitable for beginners with no programming experience, as it requires knowledge of Python and R.

Produktbeskrivelse

Extending Power BI with Python and R: Perform advanced analysis using the power of analytical languages

Har du spørgsmål? Chat med os

Kundespørgsmal & svar

  • spørgsmål: What is the focus of 'Extending Power BI with Python and R - Second Edition'?

    svar: This book primarily focuses on utilizing Python and R to enhance Power BI’s capabilities for advanced data analysis. It provides practical examples of how to integrate these analytical languages into Power BI, enabling users to perform sophisticated data manipulation, statistical analysis, and data visualization. Through hands-on exercises and case studies, readers learn how to extend the functionalities of Power BI, making it a powerful tool for data professionals seeking deeper insights.
  • spørgsmål: Who should read 'Extending Power BI with Python and R - Second Edition'?

    svar: This book is ideal for data analysts, BI developers, and data scientists who have a foundational knowledge of Power BI and want to enhance their analysis skills using Python and R. It caters to professionals looking to leverage the advanced statistical and graphical abilities of these programming languages to unlock new analytical possibilities within Power BI. Whether you're an intermediate user or an expert, this edition offers insights for anyone aiming to optimize their data analysis skills.
  • spørgsmål: What content is updated in the second edition of the book?

    svar: The second edition includes the latest features and updates of Power BI, along with newer libraries and techniques in Python and R. Readers will benefit from improved workflows, expanded case studies, and tips on best practices. The updated content addresses the evolving landscape of data analysis and ensures that readers are equipped with current knowledge to maximize their use of Power BI's integration with these languages. New examples have also been added to enhance practical understanding.
  • spørgsmål: Can beginners benefit from this book?

    svar: While 'Extending Power BI with Python and R - Second Edition' is geared towards users with some experience in Power BI, beginners with a willingness to learn may also find value. The book starts with foundational concepts, making it approachable for those who are eager to develop their skills. However, some prior knowledge of Python or R will greatly enhance the learning experience, as they are used extensively throughout the material to provide advanced analytical techniques.
  • spørgsmål: What types of data analysis can be performed using this book?

    svar: The book guides readers through a variety of advanced data analysis techniques, such as statistical testing, machine learning, and data visualization using Python and R. These methods can help uncover insights, detect patterns, and perform complex calculations that go beyond Power BI's default functionalities. For instance, users can analyze trends over time or implement predictive modeling techniques to forecast future values within their datasets, enabling informed decision-making.
  • spørgsmål: What prerequisites are suggested before reading this book?

    svar: Before diving into 'Extending Power BI with Python and R - Second Edition', readers should have a basic understanding of Power BI, along with fundamental programming skills in Python or R. Familiarity with data analysis concepts and techniques will also enhance comprehension. Recommendations include knowledge of data manipulation libraries like Pandas (Python) or the Tidyverse (R), as this foundational knowledge supports the advanced analytical exercises presented in the book.
  • spørgsmål: How does the book integrate Python and R with Power BI?

    svar: The book illustrates several methods for integrating Python and R within Power BI, including using Python scripts for data transformation and R visuals for enhanced charting capabilities. By following the provided examples, users learn to input their scripts directly into the Power BI environment, effectively transforming their datasets and creating custom visualizations that cater to their specific analysis goals. This integration significantly amplifies Power BI's visualization and analytical power.
  • spørgsmål: What are practical examples presented in the book?

    svar: The book contains various practical examples that cover real-world scenarios, such as customer segmentation using k-means clustering in Python or creating custom visualizations with ggplot2 in R. These examples are meant to bridge theoretical knowledge with hands-on application, giving readers insights into how to apply advanced analytical techniques to solve actual business problems. Using relatable datasets, readers can see the direct impact of these methods on data interpretation.
  • spørgsmål: How does this book enhance my Power BI skills?

    svar: By learning to leverage Python and R, readers can elevate their Power BI skills significantly. The book empowers users to perform analyses that were previously limited by Power BI’s built-in functionalities. This can lead to more sophisticated data interpretation, enabling the crafting of custom reports and presentations that effectively communicate findings. Users will gain confidence in analyzing data and uncovering insights that can lead to data-driven decisions in their organizations.
  • spørgsmål: Where can I buy 'Extending Power BI with Python and R - Second Edition'?

    svar: You can purchase 'Extending Power BI with Python and R - Second Edition' from Ubuy in Denmark. Ubuy offers a comprehensive selection of books and educational resources, ensuring you have access to the latest editions and titles in the data analysis field. Their platform provides a convenient shopping experience, allowing you to find this book and have it delivered directly to your location.

Python Editorial Review

**** "Extending Power BI with Python and R - Second Edition" is lauded as an essential resource for business analysts and data scientists keen to enhance their capabilities within Power BI using advanced analytical languages. This edition builds on its predecessor, enriching the content with over 200 new pages that delve into sophisticated techniques like optimizing Python and R settings, utilizing Intel’s Math Kernel Library for improved performance, and tackling integration challenges that analysts face when working with Power BI. Readers appreciate the author’s clear and effective teaching style, which includes detailed explanations, visual aids, and step-by-step guides that make complex concepts more digestible. The practical insights shared in the book become invaluable, particularly for those managing large datasets, as well as those seeking to leverage SQL Server’s external languages to overcome limitations in Power BI. Various functionalities, such as enhancing data loading speed with Parquet format and implementing fuzzy matching algorithms, provide readers with the skills necessary to push the boundaries of Power BI’s analytical capabilities. Users transitioning from Power BI as a mere tool to a comprehensive analytics hub have commended the book for transforming their approach to data analysis. Overall, this book is recognized as a vital addition to the learning material of Power BI users at intermediate and advanced levels, offering significant guidance on fully integrating R and Python to exploit the full potential of Power BI for data-driven decision-making. **

Kundeanmeldelser & vurderinger

1 kundebedømmelser
  • 5 stjerne
    100%
  • 4 stjerne
    0%
  • 3 stjerne
    0%
  • 2 stjerne
    0%
  • 1 stjerne
    0%

Anmeld dette produkt

Del dine tanker med andre kunder

Fordele

  • Detailed and practical guidance on integrating Python and R with Power BI.
  • Comprehensive coverage of optimizing data analysis through advanced techniques.
  • Clear explanations and illustrations that enhance understanding.
  • New content that updates and enriches learning from the previous edition.
  • Valuable for managing large datasets and overcoming Power BI limitations.

Ulemper

  • May be too advanced for complete beginners in Power BI or programming.

Platformstillid & Køberens Tillid

trustpilot logo
4.2/5 9250 + reviews
Læs anmeldelser
MA
Mohammad
Verificeret køber

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Verificeret køber

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Verificeret køber

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Verificeret køber

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Verificeret køber

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Sikker betaling Global levering Nem returnering Originale produkter

Produktets prishistorik

Vigtig information

  • Begrænsninger: For produkter, der forsendes internationalt, bemærk venligst, at eventuel producentgaranti muligvis ikke er gyldig; producentens serviceordninger er muligvis ikke tilgængelige; produktmanualer, instruktioner og sikkerhedsadvarsler er muligvis ikke på destinationslandets sprog; produkterne (og det medfølgende materiale) er muligvis ikke designet i overensstemmelse med destinationslandets standarder, specifikationer og mærkningskrav; og produkterne opfylder muligvis ikke destinationslandets krav til spænding og andre elektriske standarder (hvilket kan kræve brug af en adapter eller transformer, hvis relevant). Modtageren er ansvarlig for at sikre, at produktet lovligt kan importeres til destinationslandet. Ved bestilling hos Ubuy eller dets datterselskaber er modtageren importøren og skal overholde alle love og regler i destinationslandet.
  • Det er ikke alle de produkter som vises på Ubuy som er til salg, idet Ubuy er en global søgemaskine. Produkterne er underlagt eksport-/handelsregler.

DKK 369

Bestil nu og få den omkring Sunday, August 16

QTY:

Sikker transaktionSikker transaktion

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Vores bedste logistikpartnere
  • fedex
  • dhl
Hurtigste internationale levering

Egenskaber og fordele

  • Learn to optimize Python and R integration within Power BI.
  • Perform complex data manipulations beyond default capabilities.
  • Boost performance using Intel's Math Kernel Library.
  • Create sophisticated visualizations with advanced algorithms.
  • Ensure data safety with techniques like pseudonymization and data masking.
  • Gain insights using machine learning models and external APIs.

Ubuy-garanti

Oplev bekymringsfri shopping med 100 % originale produkter, PCI DSS-kompatibel betalingssikkerhed, ISO 27001-certificeret databeskyttelse, den hurtigste grænseoverskridende levering, gratis returnering* og sikker emballage på hver ordre.