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

Jazyk: 
english
Väzba: 
Mäkká
Počet strán: 
706
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 outcome ...Celý popis
49,40 €

Podrobné informácie

Viac informácií
ISBN9781484287538
AutorHodeghatta Umesh R.
VydavatelApress
Jazykenglish
VäzbaPaperback
Rok vydania2023
Počet strán706

Popis knihy

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 Learn

  • Master the mathematical foundations required for business analytics
  • 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
  • Use R and Python to develop descriptive models, predictive models, and optimize models
  • Interpret and recommend actions based on analytical model outcomes

Who This Book Is For

Software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.

Prečo nakupovať na Enbooku?

  1. velký výběr

    VEĽKÝ VÝBER

    Ponúkame milióny kníh v angličtine. Od beletrie až po tie najodbornejšie odborné.

  2. poštovné zdarma

    POŠTOVNÉ ZADARMO

    Poštovné už od 2,99 € a pri objednávke nad 60 € doprava na pobočku Zásielkovne zadarmo

  3. skvělé ceny

    SKVELÉ CENY

    Ceny kníh sa snažíme držať pri zemi a vždy pod cenou odporúčanou vydavateľom, aby si ich mohol kúpiť naozaj každý.

  4. online podpora

    OVERENÉ ZÁKAZNÍKMI

    Získali sme certifikát "Overené zákazníkmi" na Heureka.sk. Prezrite si naše recenzie

  5. osobní přístup

    ONLINE PODPORA

    Môžete využiť online chat, email alebo nám zatelefonovať.