Analisar os dados para responder às perguntas

Go to Course: https://www.coursera.org/learn/analisar-os-dados-para-responder-as-perguntas

Introduction

### Course Review: Analisar os dados para responder às perguntas In the ever-evolving landscape of data analytics, having the right skills and knowledge is essential for success. "Analisar os dados para responder às perguntas," offered by Coursera as part of the Google Data Analytics Certificate, is an invaluable course tailored to equip you with the essential skills needed for entry-level data analyst positions. This course serves as the fifth installment in Google’s comprehensive data analytics curriculum, focusing specifically on the crucial analysis phase of the data analysis process. #### Overview of the Course The course provides a structured approach to understanding and interpreting data effectively. It emphasizes the importance of data organization, formatting, aggregation, and calculations—all fundamental skills for anyone looking to break into the field of data analytics. The course adopts an interactive and hands-on learning style, enabling students to apply theoretical knowledge in practical scenarios. #### Course Content and Syllabus 1. **Como organizar os dados para iniciar a análise**: The course begins with the essential practice of organizing data, which is fundamental to effective analysis. Here, students learn about the importance of sorting and filtering data using spreadsheets and SQL queries. By mastering these techniques, learners will find it significantly easier to prepare their datasets, laying a solid foundation for further analysis. 2. **Formatação e ajustes de dados**: The next module focuses on data formatting. Students discover how to convert and structure data appropriately, ensuring that it is polished and ready for in-depth analysis. The inclusion of SQL queries for data combining is particularly valuable, as is the emphasis on the importance of peer feedback for continuous improvement and learning. 3. **Como agregar dados para análise**: Aggregating data is a key skill for data analysts, and this section addresses how to combine datasets to extract actionable insights. Participants will delve into the functions and syntax required for data aggregation, both in spreadsheets and SQL databases. This knowledge is crucial for achieving business objectives through informed decision-making. 4. **Como realizar cálculos de dados**: The final segment emphasizes the significance of calculations in data analysis. Students explore various formulas, functions, and pivot tables in spreadsheets, alongside SQL queries. This module equips learners with the tools necessary for managing temporary tables and performing precise calculations—skills that are indispensable in the analytics toolkit. #### Recommendations I wholeheartedly recommend "Analisar os dados para responder às perguntas" for anyone interested in pursuing a career as a data analyst. Here are a few reasons why this course stands out: - **Structured Learning**: The course is well-structured, guiding you through each essential skill sequentially. This makes it accessible for beginners while still providing depth for those looking to refine their skills. - **Hands-On Experience**: The practical exercises allow participants to apply what they've learned immediately, reinforcing knowledge retention and fostering confidence in their abilities. - **Industry-Relevant Skills**: The skills taught in this course are directly applicable to real-world scenarios faced by data analysts today. This relevance ensures that learners will be job-ready upon completion. - **Supportive Community**: Engaging with peers during the course creation helps build a network and provides opportunities for collaborative learning, which is incredibly beneficial in the tech industry. In conclusion, "Analisar os dados para responder às perguntas" is a perfect stepping stone for anyone looking to enhance their data analytical skills and improve their employability in a competitive job market. With its comprehensive syllabus and focus on essential processes, this course is a must-take for aspiring data analysts. Enroll today and take the first step towards mastering the art of data analysis!

Syllabus

Como organizar os dados para iniciar a análise

Com os dados organizados, fica muito mais fácil usá-los na sua análise. Durante essa parte do curso, você aprenderá a importância de organizar os dados através da classificação e filtragem. Você conhecerá esses processos tanto nas planilhas quanto nas consultas SQL à medida que continua a preparar seus dados para análise.

Quanto mais você se aproxima da análise dos dados, mais quer que eles estejam formatados e prontos. Durante essa parte do curso, você aprenderá sobre como converter e formatar dados, incluindo como as consultas SQL podem ajudar a combinar dados. Você também entenderá a importância do feedback e apoio dos colegas e como isso pode gerar novas aprendizagens para aplicar ao seu trabalho.

Como parte da sua análise, muitas vezes você precisará combinar dados para obter insights e concretizar os objetivos da empresa. Nessa parte do curso, você conhecerá as funções, procedimentos e a sintaxe envolvida na combinação, ou agregação, dos dados. Você aprenderá como fazer isso a partir de várias células nas planilhas e de várias tabelas de banco de dados através de consultas SQL.

Cálculos são uma das tarefas mais comuns que os analistas de dados concluem durante a análise. Nesta parte do curso, você explorará fórmulas, funções e tabelas dinâmicas em planilhas e consultas no SQL, o que ajudará em seus cálculos. Você também aprenderá sobre os benefícios de usar SQL para gerenciar tabelas temporárias.