Análise de Dados Quantitativos

Go to Course: https://www.coursera.org/learn/analise-de-dados-quantitativos

Introduction

**Course Review and Recommendation: Análise de Dados Quantitativos on Coursera** In today's data-driven world, the ability to analyze quantitative data is crucial for effective decision-making, especially in fields such as market research. If you're interested in developing your skills in this area, the Coursera course "Análise de Dados Quantitativos" (Quantitative Data Analysis) offers a robust and comprehensive introduction to key analytical techniques. **Course Overview** "Análise de Dados Quantitativos" is designed to provide students with a solid foundation in data analysis techniques, which are essential for planning market research and acquiring meaningful insights. This course emphasizes the importance of choosing the right analytical methods to answer specific research questions that arise during the planning and design phase of market studies. Upon completion of this course, participants will be empowered to navigate and analyze complex market scenarios effectively, making them better equipped to address real-world challenges in market research. **Syllabus Breakdown** The course is structured into four key modules, each focusing on different aspects of quantitative data analysis: 1. **Módulo 1 | Análise Exploratória dos Dados (Exploratory Data Analysis)** This module dives into the primary techniques of descriptive data analysis. Students will learn how to explore and interpret data quality effectively, setting a strong groundwork for further analysis. The exploratory nature of this module aids students in understanding the various pathways for extracting insights from their research data. 2. **Módulo 2 | Modelos de Previsão (Forecasting Models)** Here, the course examines analytical techniques that help students comprehend relationships between different variables. You will explore fundamental statistical concepts such as variance, correlation, and regression, which are pivotal for developing predictive models that forecast future trends based on identified patterns. 3. **Módulo 3 | Modelos de Agrupamento (Clustering Models)** This module focuses on clustering techniques, teaching students how to identify groups within quantitative studies. This foundational understanding can significantly aid in segmentation analysis, which is vital for targeted marketing strategies. 4. **Módulo 4 | Modelos Estruturais (Structural Models)** The final module takes a deep dive into multivariate analysis techniques. Students will learn how to understand complex relationships between variables, allowing for a more nuanced approach to data interpretation and confirmation of hypotheses through structural modeling. **Recommendation** "Análise de Dados Quantitativos" is highly recommended for anyone looking to enhance their quantitative analysis skills, especially professionals in market research, business analytics, or data science. The course's structured approach ensures that students build upon their knowledge progressively, gaining both theoretical insights and practical skills. The blend of exploratory techniques, forecasting methods, clustering, and structural analysis provides a holistic view of quantitative methods. Moreover, the course's real-world applications make it relevant for addressing contemporary market research challenges. Whether you are a beginner looking to venture into the world of data analysis or a seasoned professional wanting to brush up on your skills, this course will equip you with the necessary tools to critically analyze and interpret quantitative data. Enroll in "Análise de Dados Quantitativos" on Coursera today to elevate your analytical capabilities and transform your understanding of market research!

Syllabus

Módulo 1 | Análise Exploratória dos Dados

Neste módulo serão abordadas as principais técnicas de análise descritiva de dados que permitem ao aluno compreender os caminhos que existem para fazer análises de qualidade. Estas análises têm carácter exploratório e ajudam a compreender os dados da pesquisa.

Neste módulo serão abordadas as técnicas de análise de dados que permitem compreender relações entre as variáveis analisadas e construir modelos de previsão: variância, correlação e regressão.

Neste módulo serão analisadas agrupamentos e técnicas de análise em estudos quantitativos.

Neste módulo, serão abordadas as técnicas de análise multivariadas que permitem compreender relações complexas entre as variáveis de modelos analisados, de forma confirmatória.