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.
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이 강좌에 대하여
배울 내용
Differentiate between various types of data pulls
Describe the basic data analysis iteration
Explore datasets to determine if data is appropriate for a project
Use statistical findings to create convincing data analysis presentations
귀하가 습득할 기술
- Data Analysis
- Communication
- Interpretation
- Exploratory Data Analysis
제공자:

존스홉킨스대학교
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.
강의 계획표 - 이 강좌에서 배울 내용
Managing Data Analysis
Welcome to Managing Data Analysis! This course is one module, intended to be taken in one week. The course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials that expand on the lecture. I'm excited to have you in the class and look forward to your contributions to the learning community. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course!
검토
- 5 stars67.37%
- 4 stars24.96%
- 3 stars5.72%
- 2 stars1.04%
- 1 star0.89%
하이라이트
MANAGING DATA ANALYSIS의 최상위 리뷰
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.
This is a challenging and excellent course ! This course really tunes you into the nuances of Data Analysis. I would recommend this course for anyone in Data Management.
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.
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!
Executive Data Science 특화 과정 정보
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.

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