By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story.
Este curso faz parte do Programa de cursos integrados Data-Driven Decision Making (DDDM)
oferecido por
Universidade de Buffalo
Universidade Estadual de Nova York
Programa de cursos integrados Data-Driven Decision Making (DDDM)Universidade de BuffaloInformações sobre o curso
13,194 visualizações recentes
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
Aprox. 11 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
Identify stakeholders and key components imperative to an analytics project plan
Name strengths and weaknesses of different analysis and visualization tools
Visually identify, monitor, and remove process variation
Explain how to create a compelling data story
Habilidades que você terá
Data visualization toolsData storytellingData analysis toolsData-Driven Decision MakingStatistical process control (SPC)
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
Aprox. 11 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade de Buffalo
The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs.
Universidade Estadual de Nova York
The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.
Programa - O que você aprenderá com este curso
3 horas para concluir
Data Analysis Software Tools
This module provides an overview of the tools needed for data analysis.
3 horas para concluir
6 vídeos (Total 24 mín.), 6 leituras, 1 teste
6 videos
Context, Objectives, and Analysis Plans4min
Excel, R, MINITAB, MATLAB, and Python7min
Techniques and Best Practices6min
Dan Gerena Discusses Maximizing the Value of Data2min
Introduction to Visualization2min
6 leituras
Welcome Message and Course Overview5min
Acknowledgements2min
Context, Objectives, and Analysis Plans Resources (Optional)40min
Data Analysis Tools Resources (Optional)30min
Techniques and Best Practices Resources (Optional)30min
Introduction to Visualization Resources (Optional)20min
1 exercício prático
Data Analysis Software Tools30min
3 horas para concluir
Statistical Process Control (SPC)
This module covers SPC, a way to analyze variation over time in your process using data. It is helpful in identifying current problems and can also be used to monitor the process for any deviations once the process is ‘in control'.
3 horas para concluir
5 vídeos (Total 17 mín.), 5 leituras, 1 teste
5 videos
Objectives2min
Variation Sources2min
Control and Specification Limits4min
Variation Analysis4min
Process Performance3min
5 leituras
Objectives (Optional)10min
Variation Sources (Optional)20min
Control and Specification Limits (Optional)40min
Variation Analysis (Optional)20min
Process Performance (Optional)20min
1 exercício prático
Statistical Process Control (SPC)30min
4 horas para concluir
Data Visualization and Translation
This module provides tools for leveraging data through visualization and translation.
4 horas para concluir
7 vídeos (Total 36 mín.), 5 leituras, 1 teste
7 videos
Data Story6min
Tableau, Excel, and Power BI6min
Dan Gerena Discusses Data Visualization3min
Insight Evaluation4min
Testing and Re-Evaluation3min
Dan Gerena Discusses Sustaining a Data-Driven Strategy3min
5 leituras
Guiding Principles Resources (Optional)30min
Data Story Resources (Optional)30min
Visualization Tools Resources (Optional)40min
Insight Evaluation Resources (Optional)30min
Testing and Re-Evaluation Resources (Optional)20min
1 exercício prático
Data Visualization and Translation 30min
2 horas para concluir
Project: Data Analysis and Visualization
This module provides an opportunity to bridge theory and practice. Learners apply knowledge from this course to solve a business problem.
2 horas para concluir
1 vídeo (Total 1 mín.), 1 leitura, 1 teste
1 vídeos
1 leituras
Project: Data Analysis and Visualization (REQUIRED)1h
Avaliações
Principais avaliações do DATA ANALYSIS AND VISUALIZATION
por VG15 de Dez de 2020
Examples and better instructions on the assignment would improve this course.
Sobre Programa de cursos integrados Data-Driven Decision Making (DDDM)
This specialization explains why it is important to leverage data when contemplating organizational choices, and supplies the tools at the heart of data-driven decision making (DDDM). The three-course series explores how technology enables the collection and organization of unprecedented amounts of data, and how to dissect that data to gain powerful insights. Course topics include analyzing process maps for driving improvement, software for maximizing data analysis, statistical process control, creating metrics dashboards and translating data stories, and the connection between operations technology metrics and organizational performance. Content touches on leadership’s role in instituting an internet of things (IoT) strategy in manufacturing and service environments. Lessons feature case studies highlighting ROI achieved through DDDM, and the cultural changes required for success.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever nesta Especialização?
Is financial aid available?
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