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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Wesleyan University, founded in 1831, is a diverse, energetic liberal arts community where critical thinking and practical idealism go hand in hand. With our distinctive scholar-teacher culture, creative programming, and commitment to interdisciplinary learning, Wesleyan challenges students to explore new ideas and change the world. Our graduates go on to lead and innovate in a wide variety of industries, including government, business, entertainment, and science.
- 5 stars63.98%
- 4 stars24.55%
- 3 stars6.05%
- 2 stars1.87%
- 1 star3.52%
DATA MANAGEMENT AND VISUALIZATION의 최상위 리뷰
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.
This course was a great one, i had no know of python when i started, during the course i was a able to run my first python program. I really learnt a lot.
This is a great introductory course to Data Analysis. It does not require any technical background and is easily presented and understood.
Very well organised and I really admire the project based approach that is and will be followed throughout the specialization. Thank you
Data Analysis and Interpretation 특화 과정 정보
Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.
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