Sign-In
Cart
Python e Ciência de Dados para Iniciantes
Paperback
Publisher: Independently Published
Published: May 16 2024
Pages: 40
Weight: 0.26
Height: 0.08 Width: 8.50 Depth: 11.00
Language: Portuguese
Resumo:
Python e Ciência de Dados para Iniciantes é um guia abrangente destinado a quem deseja embarcar na emocionante jornada da ciência de dados utilizando a linguagem de programação Python. Este livro cobre desde os conceitos básicos de programação até a implementação de projetos complexos, tornando-se uma leitura essencial para iniciantes e entusiastas da área.
Conteúdo do Livro:
- Introdução - Apresentação dos fundamentos do Python e sua relevância na ciência de dados.
- Fundamentos de Python - Conceitos básicos de programação, variáveis, estruturas de controle, funções e manipulação de strings e estruturas de dados.
- Bibliotecas Essenciais para Ciência de Dados - Exploração das bibliotecas NumPy, Pandas, Matplotlib, Seaborn e Plotly.
- Manipulação de Dados com Pandas - Técnicas de importação, limpeza, transformação e análise de dados.
- Visualização de Dados - Criação de gráficos e visualizações para análise de dados com Matplotlib, Seaborn e Plotly.
- EstatÃstica e Probabilidade - Fundamentos estatÃsticos e técnicas de probabilidade aplicadas à ciência de dados.
- Introdução ao Machine Learning - Conceitos básicos e tipos de aprendizado, preparação de dados e pipelines de machine learning.
- Modelos de Machine Learning - Modelos supervisionados e não supervisionados, incluindo regressão linear, regressão logÃstica, árvores de decisão, K-means e PCA.
- Trabalhando com Dados Reais - Coleta, limpeza, análise exploratória e modelagem de dados reais.
- Implementação de Projetos de Ciência de Dados - Etapas de um projeto de ciência de dados, desde a coleta de dados até a implementação e monitoramento de modelos.
- Casos de Estudo - Exemplos práticos de aplicação de ciência de dados, incluindo previsão de vendas e classificação de sentimentos.
- Conclusões - Reflexões finais e incentivo à continuidade dos estudos.
- Referências Bibliográficas - Fontes e referências utilizadas ao longo do livro, formatadas segundo as normas da ABNT.
CaracterÃsticas do Livro:
- Prático e Didático: Cada capÃtulo é estruturado para facilitar a compreensão e aplicação dos conceitos.
- Exemplos de Código: Código em Python detalhado e comentado, acompanhado de explicações claras.
- Projetos Reais: Casos de estudo que demonstram a aplicação prática das técnicas aprendidas.
- Referências Confiáveis: Baseado em fontes respeitadas e atualizado com as práticas atuais da ciência de dados.
Este livro é ideal para estudantes, profissionais de tecnologia e qualquer pessoa interessada em aprender ciência de dados com Python. Ele fornece uma base sólida e prepara o leitor para explorar mais profundamente este campo em constante evolução.
Also in
Programming
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Castéran, Pierre
Bertot, Yves
Hardcover
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Collector's Edition
Piggyback
Hardcover
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Standard Edition
Piggyback
Paperback
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
Crisis Engineering: Time-Tested Tools for Turning Chaos Into Clarity
Nitze, Marina
Weaver, Matthew
Dickerson, Mikey
Paperback
Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations
Kim, Gene
Forsgren Phd, Nicole
Humble, Jez
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
Fundamentals of Software Architecture: A Modern Engineering Approach
Richards, Mark
Ford, Neal
Paperback
Make: Electronics: Learning by Discovery: A Hands-On Primer for the New Electronics Enthusiast
Platt, Charles
Paperback
Site Reliability Engineering: How Google Runs Production Systems
Jones, Chris
Leng, Christof
Beyer, Betsy
Paperback
The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
Fournier, Camille
Paperback
Vibe Coding: Building Production-Grade Software with Genai, Chat, Agents, and Beyond
Yegge, Steve
Kim, Gene
Paperback
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Hattersley, Lucy
Jepson, Brian
Paperback
I Have an App Idea: The Essential Guide to Building an App Without Tech Skills
Spann, Amanda
Paperback
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Humble, Jez
Debois, Patrick
Kim, Gene
Paperback
The Return on AI: From Promise to Profit in the Age of Intelligent Business
Sawhney, Mohanbir
Mittal, Ashwin
Paperback
The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
Reilly, Tanya
Paperback
Evals for AI Engineers: Systematically Measuring and Improving AI Applications
Husain, Hamel
Shankar, Shreya
Paperback
The Developer's Guide to AI: A Field Guide for the Working Developer
Thompson, Danny
Orshalick, Jacob
Reghunadh, Jerry M.
Paperback
Forecasting: Principles and Practice, the Pythonic Way
Hyndman, Rob J.
Athanasopoulos, George
Paperback
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Albada, Michael
Paperback
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
Ford, Neal
Richards, Mark
Sadalage, Pramod
Paperback
Observability Engineering: Achieving Production Excellence
Miranda, George
Majors, Charity
Fong-Jones, Liz
Paperback
Cracking the Coding Interview: 189 Programming Questions and Solutions
McDowell, Gayle Laakmann
Paperback
Learning Web Design: A Beginner's Guide to Html, Css, Javascript, and Web Images
Robbins, Jennifer
Paperback
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
Occupytheweb
Paperback
The New AI Cold War: Liberty vs. Tyranny in the Age of Machine Empires
Maginnis, Ltc Robert L.
Paperback
Building Safer Technology: A Field Guide to Failing Well
Zunger, Yonatan
Coles, Neil
Kissner, Lea
Paperback
The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition
Thomas, David
Hunt, Andrew
Hardcover
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
A Human's Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control
Hosanagar, Kartik
Paperback
Grokking Algorithms, Second Edition: An Illustrated Guide for Programmers and Other Curious People
Bhargava, Aditya Y.
Paperback
Building Resilient Distributed Systems: Patterns and Practices for Stable Software
Newman, Sam
Paperback
Java in a Nutshell: A Desktop Quick Reference
Clark, Jason R.
Flanagan, David
Evans, Benjamin J.
Paperback
Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications
Lakshmanan, Valliappa
Hapke, Hannes
Paperback
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy
Khononov, Vlad
Paperback
Concrete Mathematics: A Foundation for Computer Science
Graham, Ronald
Patashnik, Oren
Knuth, Donald
Hardcover
The Official Raspberry Pi Handbook 2026: Astounding Projects with Raspberry Pi Computers
Makers of Raspberry Pi Official Magazine, The
Paperback
Signals & Levers: Systems Thinking Tools to Unblock Software Delivery
Hendrickson, Elisabeth
Tosi, Joel
Paperback
The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise
Hohpe, Gregor
Paperback
Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software
Robson, Elisabeth
Freeman, Eric
Paperback
Learning Generative AI Tools for Excel: Speed Up Your Everyday Tasks with Microsoft Excel, Copilot, Chatgpt, and Beyond
Duca, Angelica Lo
Paperback
AI Agents with MCP: Model Context Protocol for Building Clients, Servers, and End-To-End Agents
Stratis, Kyle
Paperback
Build an AI Agent (from Scratch): Agents That Reason, Plan, and ACT Autonomously
Song, Younghee
Hur, Jungjun
Paperback
Building AI-Powered Products: The Essential Guide to AI and Genai Product Management
Nika, Marily
Paperback
Inteligencia Artificial Con Python: Sistemas de aprendizaje, Machine Learning y Deep Learning explicados de forma clara y práctica.
Selles Rodenas, Juan Ignacio
Paperback
The Multiplier Mindset: How to Move from Senior Engineer to Tech Leader in the Age of AI
Ojstersek, Gregor
Paperback
Arduino Programming for Beginners: A Comprehensive Beginner's Guide to Learn the Realms of Arduino Programming from A-Z
Protosmith, Ada
Paperback
Debugging: The 9 Indispensable Rules for Finding Even the Most Elusive Software and Hardware Problems
Agans, David J.
Paperback
Living a Jewish Life, Revised and Updated: Jewish Traditions, Customs, and Values for Today's Families
Diamant, Anita
Cooper, Howard
Paperback
Software Engineering at Google: Lessons Learned from Programming Over Time
Wright, Hyrum
Winters, Titus
Manshreck, Tom
Paperback
The Book of Debugging: A Systematic Workflow for Finding and Fixing Bugs
Kuhlmann, Johannes
Paperback
Learning Php, MySQL & JavaScript: A Step-By-Step Guide to Creating Dynamic Websites
Nixon, Robin
Paperback
Frictionless: 7 Steps to Remove Barriers, Unlock Value, and Outpace Your Competition in the AI Era
Noda, Abi
Forsgren, Nicole
Paperback
Programming Massively Parallel Processors: A Hands-On Approach
Hwu, Wen-Mei W.
Kirk, David B.
El Hajj, Izzat
Paperback
Certified Associate in Project Management (Capm)(R) Exam Official Cert Guide
Kanabar, Vijay
Thomas, Arthur
Lechler, Thomas
Paperback
Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
Pandey, Anand
Paperback
Electronic Music and Sound Design - Theory and Practice with Max 9 - Volume 1 (Fifth Edition)
Cipriani, Alessandro
Maurizio, Giri
Paperback
Creación de Aplicaciones Con Agentes de Ia (Spanish Edition): Diseño E Implementación de Sistemas Multiagente
Albada, Michael
Paperback
Programming Rust: Fast, Safe Systems Development
Tindall, Leonora F. S.
Blandy, Jim
Orendorff, Jason
Paperback
Computer Science from Scratch: Building Interpreters, Art, Emulators and ML in Python
Kopec, David
Paperback
Head First Algorithms and Data Structures: A Learner's Guide to the Foundations of Computing
Freeman, Eric
Robson, Elisabeth
Paperback