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.
Ce cours fait partie de la Spécialisation Data-Driven Decision Making (DDDM)
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À propos de ce cours
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
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Essayez Coursera pour les affairesCe que vous allez apprendre
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
Compétences que vous acquerrez
- Data visualization tools
- Data storytelling
- Data analysis tools
- Data-Driven Decision Making
- Statistical process control (SPC)
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
Votre entreprise pourrait-elle bénéficier de la formation des employés à des compétences recherchées ?
Essayez Coursera pour les affairesProgramme de cours : ce que vous apprendrez dans ce cours
Data Analysis Software Tools
Statistical Process Control (SPC)
Data Visualization and Translation
Project: Data Analysis and Visualization
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Meilleurs avis pour DATA ANALYSIS AND VISUALIZATION
Awesome feeling! I am grateful Coursera. Thank you enoumously.
Examples and better instructions on the assignment would improve this course.
A very educative course indeed. Thanks to Coursera and its multiple partners who made this possible. lam forever grateful for being afforded such an opportunity. Thanks to the course facilitators.
À propos du Spécialisation Data-Driven Decision Making (DDDM)

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