SKU/Artículo: AMZ-B0C91WT6MW
Data Scientist: Master the Basics of Data Science - A Beginner's Guide to Unlocking the Power of Data
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.26 kg
0.26 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- In today's data-driven world, understanding the principles and techniques of data science is becoming increasingly vital. "Data Scientist: Master the Basics of Data Science" is a comprehensive beginner's guide that equips readers with the essential knowledge and skills needed to harness the power of data.This book takes you on a journey through the foundations of data science, starting with an exploration of different data types and methods for collecting and preprocessing data. You'll learn how to analyze data using descriptive statistics, probability distributions, and hypothesis testing, gaining a solid understanding of statistical analysis techniques.Moving further, the book introduces you to the fundamental concepts of machine learning. You'll discover supervised learning algorithms for regression and classification, and explore unsupervised learning techniques such as clustering and dimensionality reduction. With hands-on examples and practical exercises, you'll develop the ability to build and evaluate machine learning models.Effective data visualization and communication are essential skills for any data scientist. This guide provides insights into the principles of data visualization, introduces popular tools and libraries, and teaches you how to present data insights in a compelling and meaningful way.Data wrangling and feature engineering are crucial steps in the data science process. You'll learn techniques for cleaning and preprocessing data, extracting relevant features, and handling missing values and outliers. Through real-world examples, you'll gain proficiency in preparing data for analysis.Model evaluation and validation are vital to ensure the reliability of your data science projects. This book covers performance metrics, cross-validation techniques, and strategies to combat overfitting and underfitting, enabling you to build robust and accurate models.As data continues to grow exponentially, the book also explores big data concepts and introduces distributed computing frameworks like Hadoop and Spark, equipping you with the tools to handle large-scale data analysis.Ethics in data science is an important consideration, and this guide addresses key ethical issues, including privacy, data protection, and algorithmic bias. You'll gain insights into ethical decision-making and learn how to approach data science in a responsible and fair manner.In the concluding chapter, "Data Scientist: Master the Basics of Data Science" summarizes the key concepts covered throughout the book and provides guidance for further learning and potential career paths in data science.Whether you're a student, a professional looking to transition into the field of data science, or a business owner seeking to leverage data for better decision-making, this beginner's guide is your essential companion. Unlock the power of data science and embark on a journey of discovery and insight with "Data Scientist: Master the Basics of Data Science."
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AR$69.704
60% OFF
AR$27.878
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