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Go to Course: https://www.udemy.com/course/fundamentos-do-smartpls-4-para-pesquisa-e-analise-de-dados/
Certainly! Here's a comprehensive review and recommendation of the PLS-SEM course on Coursera based on the provided details: --- **Course Review and Recommendation: PLS-SEM (Partial Least Squares Structural Equation Modeling) on Coursera** **Overview:** This course offers an in-depth exploration of PLS-SEM, a powerful statistical technique used widely in research and professional settings for modeling complex relationships among constructs. Unlike traditional SEM methods, PLS-SEM emphasizes prediction and variance explanation, making it particularly suitable for studies involving numerous variables and complex models. **Content and Coverage:** The course comprehensively covers both theoretical and practical aspects of PLS-SEM, ensuring learners gain actionable skills. It begins with foundational concepts, including why data analysis is essential and basic SEM principles, before progressing to hands-on analysis using software tools like SmartPLS 4 and SPSS 25. Key topics include: - Data analysis fundamentals - Conducting analyses with SPSS and SmartPLS - Modeling reflective and formative constructs - Analyzing structural models, mediators, and moderators - Addressing advanced issues within SmartPLS - Practical projects, including real-world Fiverr case studies - Tips for publishing in top journals and leveraging Fiverr for freelance opportunities **Strengths:** - **Practical Focus:** The inclusion of real-world projects and Fiverr-based case studies makes the course highly applicable for those seeking to implement PLS-SEM in academic or professional settings. - **Flexibility:** The course caters to researchers, students, and professionals familiar with multivariate techniques, offering flexibility for diverse backgrounds. - **Software Skills:** Learners gain hands-on experience with industry-standard tools, enhancing employability and research quality. - **Career Advancement:** The course positions participants for better publication prospects, doctoral research, and freelancing opportunities, thanks to its focus on high-demand skillsets. **Who Should Enroll:** - Researchers and academics involved in quantitative studies - Graduate and postgraduate students in social sciences, business, and marketing - Data analysts and consultants seeking advanced modeling skills - Individuals interested in freelance data analysis or consulting through platforms like Fiverr **Pre-requisites:** Basic knowledge of multivariate techniques such as factor analysis and multiple regression is recommended to maximize comprehension and engagement. **Final Verdict:** If you are looking to develop advanced skills in SEM, particularly PLS-SEM, and wish to apply these techniques effectively in research or freelance projects, this course is highly recommended. Its practical approach, coupled with experienced instruction, can significantly enhance your analytical toolkit, improve publication prospects, and open new career paths in data analysis. --- **In summary:** This Coursera course provides a solid foundation in PLS-SEM, blending theory with practical application, making it an invaluable resource for researchers, students, and professionals. Whether you aim to publish in top journals, improve your research quality, or expand your freelance services, enrolling in this course can be a strategic step forward. --- Would you like a shorter summary or assistance with course enrollment tips?
PLS-SEM é uma abordagem composta para SEM que visa maximizar a variância explicada de construtos dependentes no modelo de caminho. Pesquisadores e profissionais usam PLS-SEM, especialmente ao realizar estudos sobre fatores de sucesso e fontes de vantagem competitiva.Em comparação com outras técnicas de SEM, o PLS-SEM permite que os pesquisadores estimem modelos muito complexos com muitas construções e variáveis indicadoras. Além disso, o PLS-SEM permite a estimativa de construtos reflexivos e formativos e geralmente oferece muita flexibilidade em termos de requisitos de dados. O objetivo do PLS-SEM é explicar as variâncias (caráter orientado para a previsão da metodologia) e não explicar as covariâncias (verificação teórica via REM baseado em covariância, CB-SEM). A aplicação do método PLS-SEM é de grande interesse quando os pressupostos do CB-SEM são violados e as relações de causa e efeito propostas não são suficientemente investigadas.O curso abrange os seguintes aspectos:Por que a análise de dados é necessária?Conceitos básicos relacionados ao SEMAnálise de dados com SPSS e SmartPLSAnálise de MessmodellsAnálise do modelo estruturalAnalyse des Mediators/ModeratorsProblemas avançados no SmartPLSDeclaração no estilo APAPrática real com projetos FiverrIntrodução aos shows do FiverrDicas e truques e muito maisOs recursos do curso incluem, mas não estão limitados a:Vantagem competitiva na busca de doutorado e mestradoFerramenta necessária para publicações científicasAlta taxa de aceitação com os principais periódicosExplicação simples da análise estatísticaFoco na teoria e na práticaTorne-se um analista de dados global e freelancerExcelente oportunidade de transportadoraAlta demanda nos mercados locais e globaisPacote de software: SmartPLS 4, SPSS 25.0Quem deve participar?Pesquisadores, membros do corpo docente, estudantes universitários e indivíduos envolvidos ou interessados em técnicas estatísticas modernasPré-requisito: Conhecimento básico de técnicas multivariadas, como análise fatorial e regressão múltipla.Obrigado e saudaçõesShahedul HasanAssistente de pesquisa e pesquisador independente.BBA & MBA, Universidade de Dhaka.Ex-professor da East Delta University.Instrutor de Análise de Dados, Instructory e Udemy.Freelancer de primeira linha, Upwork.Mitglied des Editorial Review Board des Virtual Economics & Transnational Marketing Journal.Herausgeber des Global Journal of Entrepreneurship, Innovation and Leadership.Assistente editorial da revista para o estudo da educação cooperativa e orientada para a experiência.