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Opiniones y comentarios de aprendices correspondientes a Data Science in Real Life por parte de Universidad Johns Hopkins

4.4
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2,330 calificaciones

Acerca del Curso

Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses. This is a focused course designed to rapidly get you up to speed on doing data science in real life. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know how to: 1, Describe the “perfect” data science experience 2. Identify strengths and weaknesses in experimental designs 3. Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls. 4. Challenge statistical modeling assumptions and drive feedback to data analysts 5. Describe common pitfalls in communicating data analyses 6. Get a glimpse into a day in the life of a data analysis manager. The course will be taught at a conceptual level for active managers of data scientists and statisticians. Some key concepts being discussed include: 1. Experimental design, randomization, A/B testing 2. Causal inference, counterfactuals, 3. Strategies for managing data quality. 4. Bias and confounding 5. Contrasting machine learning versus classical statistical inference Course promo: https://www.youtube.com/watch?v=9BIYmw5wnBI Course cover image by Jonathan Gross. Creative Commons BY-ND https://flic.kr/p/q1vudb...
Aspectos destacados
Statistics review

(44 reseñas)

Principales reseñas

SM

19 de ago. de 2017

A very good and concise course that helps to understand the basics of the Data Science and its applications. The examples are very relevant and helps to understand the topic easily.

ES

11 de nov. de 2017

Highly educational course on the realities of data analysis. Many good tips for your own analyses as well as for managing others responsible for coherent and accurate analyses.

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276 - 281 de 281 revisiones para Data Science in Real Life

por Kevin K

•

12 de jun. de 2020

The course content is good, but there were no instructions how to complete the capstone in order to obtain a certifiate. This was really disappointing after completing the course work. Eventually, I just stopped my subscription.

por Deleted A

•

10 de ago. de 2016

Was expecting soo much more from the entire courses. Not a single practical part, soo much talk and write.

Sorry would not share the course with friends, 190€ is too much for what I have just learned.

por Doron P

•

12 de sep. de 2020

very unorganized hard to follow

por yassine a

•

3 de nov. de 2015

very bad and not organised

por Seyyed M A D

•

19 de abr. de 2018

Thanks

por Md. F U

•

18 de abr. de 2020

worst

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