Pengenalan Python Untuk Statistika Dan Sains Data
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Pengenalan Python Untuk Statistika Dan Sains Data
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Author : Dr. Muhammad Ahsan, S.Si.
language : id
Publisher: Jakad Media Publishing
Release Date : 2024-03-07
Pengenalan Python Untuk Statistika Dan Sains Data written by Dr. Muhammad Ahsan, S.Si. and has been published by Jakad Media Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-07 with Computers categories.
"Pengenalan Python untuk Statistika dan Sains Data" adalah sebuah buku yang disusun oleh tim penulis dari Departemen Statistika, Fakultas Sains dan Analitika Data, Institut Teknologi Sepuluh November Surabaya. Buku ini bertujuan untuk memberikan pemahaman yang komprehensif mengenai penggunaan bahasa pemrograman Python dalam konteks statistika dan sains data. Dengan memulai dari konsep dasar Python, pembaca akan dibimbing melalui aplikasi Python dalam beberapa library penting seperti NumPy, Pandas, dan Matplotlib. Bab-bab di dalamnya mencakup pemahaman tentang tipe data, operasi dasar, struktur data, serta penerapan kondisional dan perulangan. Selain itu, pembaca juga akan diajak untuk memahami konsep dasar dalam manipulasi data dengan NumPy dan Pandas, serta visualisasi data dengan Matplotlib. Buku ini tidak hanya memberikan pengetahuan tentang syntax Python, tetapi juga menunjukkan penerapannya dalam konteks statistika dan analisis data. Dengan demikian, buku ini diharapkan dapat menjadi panduan yang berguna bagi pembaca dalam memahami dan mengaplikasikan Python dalam analisis data. Melalui kolaborasi tim penulis, buku ini disusun dengan penuh dedikasi dan harapan agar dapat memberikan manfaat serta kontribusi yang berarti dalam pengembangan ilmu pengetahuan, khususnya dalam bidang statistika dan sains data. Buku ini mencerminkan semangat pengembangan ilmu pengetahuan dan teknologi yang terus berkembang di era digital saat ini.
Aplikasi Python Untuk Statistika Dasar
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Author : Dr. Muhammad Ahsan, S.Si.
language : id
Publisher: Jakad Media Publishing
Release Date : 2024-02-26
Aplikasi Python Untuk Statistika Dasar written by Dr. Muhammad Ahsan, S.Si. and has been published by Jakad Media Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Computers categories.
"Aplikasi Python untuk Statistika Dasar" adalah sebuah buku yang disusun oleh tim penulis dari Departemen Statistika, Fakultas Sains dan Analitika Data, Institut Teknologi Sepuluh November Surabaya. Buku ini bertujuan untuk menyajikan aplikasi Python dalam konteks statistika dasar dengan fokus pada pemahaman konsep dasar serta implementasinya menggunakan Python. Dalam buku ini, pembaca akan dipandu melalui berbagai aplikasi Python yang relevan dalam statistika dasar. Bab-bab di dalamnya mencakup penggunaan library SciPy untuk aljabar linear dan statistik, serta pengenalan terhadap Statsmodels untuk uji hipotesis, regresi linear, dan ANOVA. Buku ini juga menyajikan aplikasi python untuk membuat fungsi-fungsi statistika secara manual sehingga pembaca dapat menggunakan program yang dibuat untuk perhitungan statistik. Pembaca akan diajak melalui konsep-konsep seperti pengujian hipotesis, regresi linear, ANOVA, bootstrap, dan jackknife, dengan menggunakan bahasa pemrograman Python sebagai alat utama. Melalui aplikasi langsung dalam Python, pembaca diharapkan dapat memperoleh pemahaman yang kokoh tentang konsep-konsep statistika dasar dan implementasinya dalam komputasi. Buku ini merupakan hasil kolaborasi dari tim penulis yang berkomitmen untuk menyajikan sumber pengetahuan yang bermanfaat bagi pembaca, terutama mahasiswa dan praktisi statistika. Buku ini menjadi bukti semangat pengembangan ilmu pengetahuan dalam bidang statistika.
Pemrograman Saintifik Dengan Python
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Author : Adhitya Bhawiyuga, S.Kom., M.Sc.,
language : id
Publisher: Jakad Media Publishing
Release Date :
Pemrograman Saintifik Dengan Python written by Adhitya Bhawiyuga, S.Kom., M.Sc., and has been published by Jakad Media Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Introduction To Data Science
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Author : Laura Igual
language : en
Publisher: Springer Nature
Release Date : 2024-04-12
Introduction To Data Science written by Laura Igual and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Computers categories.
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data science Reviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.
Introduction To Data Science
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Author : Laura Igual
language : en
Publisher: Springer
Release Date : 2017-02-22
Introduction To Data Science written by Laura Igual and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-22 with Computers categories.
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.
Introduction To Data Science
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Author : Laura Igual
language : en
Publisher: Springer
Release Date : 2024-04-25
Introduction To Data Science written by Laura Igual and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-25 with Computers categories.
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data science Reviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.
Python Data Science Handbook
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Author : Jacob T. Vanderplas
language : en
Publisher: O'Reilly Media
Release Date : 2016
Python Data Science Handbook written by Jacob T. Vanderplas and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Computers categories.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Python Data Science Handbook
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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21
Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Data Science
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Author : Tiffany Timbers
language : en
Publisher: CRC Press
Release Date : 2024-08-23
Data Science written by Tiffany Timbers and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Mathematics categories.
Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia. Key Features: Includes autograded worksheets for interactive, self-directed learning. Introduces readers to modern data analysis and workflow tools such as Jupyter notebooks and GitHub, and covers cutting-edge data analysis and manipulation Python libraries such as pandas, scikit-learn, and altair. Is designed for a broad audience of learners from all backgrounds and disciplines.
Python For Data Science
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Author : Daniel O'Reilly
language : en
Publisher:
Release Date : 2021-02-08
Python For Data Science written by Daniel O'Reilly and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Computers categories.
★55% OFF for bookstores! NOW at $25.95 instead of $35.95!★ Would you like to: ● Learn a super competitive skill? ● Become irreplaceable in the future job market? ● Upgrade yourself to the ultimate data whizz? Here's the Perfect Solution if Your Customers Want to Become the Master of Data Science and Learn Phyton Step-by-Step Data science is one of the emerging technologies that is set to radically transform the job market. With applications in almost every industry, data science experts will have no shortage of great job offers. But, the whole field may seem a little intimidating if your background is not specific to data science. This book is here to guide you through the field of data science from the very beginning. You will learn the fundamental skills and tools to support your learning process. If you're a beginner, this is the book to help you easily understand the basics of data science. To understand data science, you also need a good understanding of how Python helps you design and implement these projects. This guidebook is going to explain how we can get all of this done. Here just a little preview of what you'll find inside this book: ● A thorough and simple explanation of data science and the way it works ● Basics of data science and fundamental skills you need to get started ● Data science libraries you need to learn to become a data whizz ● A blueprint for the most used frameworks for Python data science ● How to process and understand the data and design your own projects AND SO MUCH MORE! Even if you're an absolute beginner with little programming experience, you will find this book easy to follow and implement. This guide is your first step towards a successful data science career, so don't hesitate!