Data Analysis and Visualization(으)로 돌아가기
뉴욕주립대학교 버펄로 캠퍼스의 Data Analysis and Visualization 학습자 리뷰 및 피드백
15개의 평가
강좌 소개
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.
필터링 기준:
Data Analysis and Visualization의 3개 리뷰 중 1~3
교육 기관: Purvesh P
•2021년 1월 18일
GOOD
교육 기관: VICTOR G
•2020년 12월 16일
Examples and better instructions on the assignment would improve this course.
교육 기관: Mikolaj I
•2021년 4월 13일
Practical examples & tasks would be a great advantage!
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