Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.
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이 강좌에 대하여
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기귀하가 습득할 기술
- SAS Language
- Data Analysis
- Python Programming
- Data Management
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기
제공자:
강의 계획표 - 이 강좌에서 배울 내용
Selecting a research question
Writing your first program - SAS or Python
Managing Data
Visualizing Data
Supplemental Materials (All Weeks)
검토
- 5 stars63.71%
- 4 stars24.48%
- 3 stars6.12%
- 2 stars1.85%
- 1 star3.82%
DATA MANAGEMENT AND VISUALIZATION의 최상위 리뷰
Great introduction to quantitative data analysis and a great refresher for those of us who have been out of it for a while. Presented well, the videos were great, and I enjoyed it very much.
Choosing an actual research question allows you to find a topic of interest. This makes the content more meaningful and accelerates understanding of the concepts.
This is a great course for beginners. The course instructors have arranged the course at a very comfortable pace and this is a great beginning point for anyone who wants to learn SAS or Python.
It was very informative. I got the opportunity to learn a lot of new things which I am sure will help me in my professional career.
Thank you Coursera
Data Analysis and Interpretation 특화 과정 정보
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