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    Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar - okladka książki

    Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar - okladka książki

    Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar - audiobook MP3

    Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar - audiobook CD

    Autorzy:
    Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    420
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Zostało Ci na świąteczne zamówienie opcje wysyłki »
    Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments.

    The book starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices.

    By the end of this book, you will be able to build your own marketing reporting and interactive dashboard solutions.

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    O autorach książki

    Tommy Blanchard earned his PhD from the University of Rochester and did his postdoctoral training at Harvard. Now, he leads the data science team at Fresenius Medical Care North America. His team performs advanced analytics and creates predictive models to solve a wide variety of problems across the company.
    Debasish Behera works as a data scientist for a large Japanese corporate bank, where he applies machine learning/AI to solve complex problems. He has worked on multiple use cases involving AML, predictive analytics, customer segmentation, chat bots, and natural language processing. He currently lives in Singapore and holds a Master's in Business Analytics (MITB) from the Singapore Management University.
    Pranshu Bhatnagar works as a data scientist in the telematics, insurance, and mobile software space. He has previously worked as a quantitative analyst in the FinTech industry and often writes about algorithms, time series analysis in Python, and similar topics. He graduated with honors from the Chennai Mathematical Institute with a degree in Mathematics and Computer Science and has completed certification courses in Machine Learning and Artificial Intelligence from the International Institute of Information Technology, Hyderabad. He is based in Bangalore, India.

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