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Avis et commentaires pour d'étudiants pour Data Science in Real Life par Université Johns-Hopkins

4.4
étoiles
2,299 évaluations
278 avis

À propos du cours

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...
Points forts
Statistics review
(44 avis)

Meilleurs avis

SM
19 août 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 nov. 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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51 - 75 sur 280 Avis pour Data Science in Real Life

par Ramkumar

1 juil. 2017

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

par Aedrian A

13 janv. 2021

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

par Christos G

1 sept. 2017

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

par Iuri V d J Q

7 mars 2016

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

par Ricardo G G

7 oct. 2021

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

par vikas k

27 avr. 2016

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

par Jason G

17 mars 2019

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

par Gabriela E L M

8 mai 2017

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

par Paul H

4 janv. 2017

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

par Antonio P L

31 déc. 2016

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

par Felix E R P

15 juin 2016

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

par Sheetal K

3 févr. 2020

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

par Ashiqur R

30 juin 2020

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

par BENSAFOUAN A

26 mai 2020

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

par Ning Z L

28 mars 2016

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

par ANDREA G F

15 août 2017

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

par Vijai K S

9 févr. 2016

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

par Omid F

10 mai 2019

Thank you very much for your excellent course.

Best Regards

Omid Faseli

par Deleted A

8 juil. 2017

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

par Rejane R d C P

16 oct. 2020

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

par Nick M

28 oct. 2017

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

par Christopher S

22 sept. 2017

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

par Daniel M M

10 sept. 2017

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

par Niels v G

8 févr. 2016

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

par Craig O

2 juil. 2017

This emphasizes the often overlooked area of managing expectations.