Chevron Left
Volver a Data Science in Real Life

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

2,314 calificaciones
278 reseña

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: Course cover image by Jonathan Gross. Creative Commons BY-ND
Aspectos destacados
Statistics review

(44 reseñas)

Principales reseñas


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.


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.

Filtrar por:

51 - 75 de 280 revisiones para Data Science in Real Life

por Ramkumar

1 de jul. de 2017

This course was really good. Good articulation on randomization and why we do randomization.

por Aedrian A

13 de ene. de 2021

I enjoyed taking this course and I think that it delivers on what it promises on the title.

por Christos G

1 de sep. de 2017

Smartly selected topics for an executive course. Well balanced between theory and examples.

por Iuri V d J Q

7 de mar. de 2016

Awesome feedback on real life situations where i managed to pass through on my current job.

por Ricardo G G

7 de oct. de 2021

Excellent course! The instructors are able to teach a complex topic in an accessible way..

por Vikas K T

27 de abr. de 2016

This is really a very nice course for learning data science in solving real life problems.

por Jason G

17 de mar. de 2019

Very informative and a good introduction into the aspects faced while doing Data Science!

por Gabriela E L M

8 de may. de 2017

Very punctual practical and applicable information about do's and don'ts for DS projects.

por Paul H

4 de ene. de 2017

Lots of useful tips. Great overview spanning data science pitfalls. Impressively concise.

por Antonio P L

31 de dic. de 2016

Fantastic Course for people who want to know the details to do great analysis and reports

por Felix E R P

15 de jun. de 2016

Good review on how to work and interact with the team during the data analysis pipeline!

por Sheetal K

3 de feb. de 2020

The pace and the content of the course is just apt and keeps the participants engaged

por Ashiqur R

30 de jun. de 2020

Very precise and constructive course. I think it will be helpful for every one.


26 de may. de 2020

i like this course , really help to understand many things about data science

por Ning Z L

28 de mar. de 2016

Practical using the data science in real life, a lot of extending learning.


15 de ago. de 2017

great comparison between ideal data results and what happens in real life

por Vijai K S

9 de feb. de 2016

Short yet nice. Gave me a lot of insights on what can and can't be done.

por Omid F

10 de may. de 2019

Thank you very much for your excellent course.

Best Regards

Omid Faseli

por Deleted A

8 de jul. de 2017

Concise preview of some of the real world applications of Data Science!

por Rejane R d C P

16 de oct. de 2020

I thank the lecturer Brian for this course: your lectures are amazing!

por Nick M

28 de oct. de 2017

Great. You guys should check for typos in the written material though

por Christopher S

22 de sep. de 2017

Good course for understanding practicalities of DS in the real world.

por Daniel M M

10 de sep. de 2017

A bit extense but very well simplified for non experts in Statistics.

por Niels v G

8 de feb. de 2016

This was a great final to the Data Science Executive Specialization.

por Craig O

2 de jul. de 2017

This emphasizes the often overlooked area of managing expectations.