ODBIERZ TWÓJ BONUS :: »

    Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python Alvaro Fuentes - okładka ebooka

    Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python Alvaro Fuentes - okładka ebooka

    Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python Alvaro Fuentes - okładka audiobooka MP3

    Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python Alvaro Fuentes - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    178
    Dostępne formaty:
    PDF
    ePub
    Mobi

    Ebook

    79,90 zł

    Dodaj do koszyka lub Kup na prezent
    Kup 1-kliknięciem

    Przenieś na półkę

    Do przechowalni

    Python is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations.

    Become a Python Data Analyst introduces Python’s most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations.

    In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques.

    By the end of this book, you will have hands-on experience performing data analysis with Python.

    Wybrane bestsellery

    O autorze ebooka

    Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three’ global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.

    Zamknij

    Wybierz metodę płatności

    Zamknij Pobierz aplikację mobilną Ebookpoint