This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.
About this Course
학습자 경력 결과
공유 가능한 수료증
완료하는 데 약 7시간 필요
학습자 경력 결과
공유 가능한 수료증
완료하는 데 약 7시간 필요
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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MANAGING DATA ANALYSIS의 최상위 리뷰
Like other reviewers said, this course is larger than the two previous courses. The content is excellent but I am giving 4/5 stars because I found many misspelled words throughout the course lectures.
A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.
The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for
Great course for those who want a comprehensive overview of an analysis from A-Z. The professor explains each aspect in perfect detail, gives easy to understand examples, very comprehensive.
Overall, the course is well structured. The topics covered are very significant in my day to day operations. I can apply everything I learnt from this course with greater understandability.
One of the best courses I've taken. The instructor presented a clear approach and variety of suggestions for improving the consistency and quality of data science projects. Very useful!
Good overview of the process. Helped me in bridging data analysis processes with things that I already do as part of project management or business analytics/decision support projects.
This course is not for a person without any idea of Data analysis or Statistics. This course isn't for beginners. The content could have been presented even better with lucid examples.
professor Peng gave very practical advice on the design of the statistical model, and generalized procedure to conduct data analysis.and he gave very informative written reviews too!
This is a challenging and excellent course ! This course really tunes you into the nuances of Data Analysis.\n\nI would recommend this course for anyone in Data Management.
Critical thinking is essential at the moment of working over data. This was a nice course with a very good theory about all the process,which a data analyst has to perform.
Good review of the data analysis process, though it loses momentum when it gets into the communication & presentation areas. On to the next course in the specialization!
This felt a lot more detailed that the previous courses (which was great!) and I feel like I've genuinely learned some stuff (the six type of questions) that I can use!
Well defined strategies for getting a handle on the data analysis process. Short and concise class that hit on relevant points required to be successful in this area.
Excellent course. Really enjoyed the instructor. Finally getting into some analysis. Made me want to refresh my stat skills and get working on a challenging project!
This was the best part of Specialization until now. As Product Manager I do think it's was great to understand concepts about data analysis and how to manage a team.
sometime it was not easy to understand the lecturer. also, it would be good to try some things out versus reading the expamples. other than that - a great course!
Good course for the fundamentals of making sure data analysis is done correctly. These are good things to keep in mind when you are managing a data science team.
Great examples about difference between 'association' and 'predictive' understanding and pitfalls of decision making without knowing which one to be used where!
Excellent summary of the data analysis process. As the leader of a data science team, this class makes me want to tell my team to keep up the great work!
Executive Data Science 전문 분야 정보
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