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. Material features online lectures, videos, demos, project work, readings and discussions. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company’s bottom line. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the second course in the Data-Driven Decision Making (DDDM) specialization. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11.
Awesome feeling! I am grateful Coursera. Thank you enoumously.
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.
It was very good. just the last project was a bit confusing and not so clear. But the concepts in general are great.
A great course indeed. Increased my knowledge of how to analyze data and the tools to use for the analyses.
Examples and better instructions on the assignment would improve this course.
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Just one point to improve, at the end on the final assigment. It would be great to get the system assigning the projects to be reviewed automatically.
We have to look for other students projects on the Discussion forum to be able to complete the course
It was very good. just the last project was a bit confusing and not so clear. But the concepts in general are great.
Practical examples & tasks would be a great advantage!
All courses in this specialization are great. However, activities are vaguely described and it's very difficult not only for the student but also for the graders. This makes very difficult to get a passing grade in the final projects.
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.
VCe cours a ete tres important pour moi, car j'ai pu aprendre d'excellentes tectniques liees a l'analyse et visualisation de donnees, aisnique a la conception de plan d'action de projet.
Very complete course that gives you a broad vision of data analysis and the best visualization of results before stakeholders.
A great course indeed. Increased my knowledge of how to analyze data and the tools to use for the analyses.
Awesome feeling! I am grateful Coursera. Thank you enoumously.
Great reading material attached with each topic
Thank you Sir. It's really a nice course.
Очень полезный информативный курс
Great Course for Data Analysis
baik sekali sangat membantu
superb course loved it
Great and useful
execelente curso
Nice course
شكرا لكم
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