Vi bøger
Levering: 1 - 2 hverdage
Forlænget returret til d. 31. januar 2025

Business Analytics - Jeffrey D. Camm - Bog

Bag om Business Analytics

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9780357902202
  • Indbinding:
  • Hardback
  • Sideantal:
  • 900
  • Udgivet:
  • 3. april 2023
  • Udgave:
  • 00005
  • Størrelse:
  • 216x40x276 mm.
  • Vægt:
  • 2155 g.
  • 4-7 hverdage.
  • 8. januar 2025
På lager
Forlænget returret til d. 31. januar 2025
  •  

    Kan ikke leveres inden jul.
    Køb nu og print et gavebevis

Normalpris

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Business Analytics

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

Brugerbedømmelser af Business Analytics



Find lignende bøger

Gør som tusindvis af andre bogelskere

Tilmeld dig nyhedsbrevet og få gode tilbud og inspiration til din næste læsning.