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

2,330 évaluations

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: Course cover image by Jonathan Gross. Creative Commons BY-ND
Points forts
Statistics review

(44 avis)

Meilleurs avis


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.


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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101 - 125 sur 281 Avis pour Data Science in Real Life

par Cheleen

9 juil. 2020

Its very easy and useful to oru studies

par Silvia T

3 mai 2018

Another fantastic course in the series.

par Dr N B T

20 mai 2020

Very interesting and informative class

par José B A F

12 févr. 2018

I learned everything I hoped to learn

par Michael B

27 déc. 2017

Great course with excellent examples.

par Ubirajara A T S

23 janv. 2016

Very interesting course, I recommend!

par Leonardo J T G

17 avr. 2018

very interesting, nice examples !!!!

par Mohammed I M

23 nov. 2021

Excellent presentation by Brian. <3

par wonjai c

24 août 2020

Very good for my project management

par Ashish P

9 juil. 2020

Amazing and very practical course..

par Jocelyn D

8 sept. 2018

Excellent course! Very interesting!

par Asif J

27 mars 2017

this course gave good foundation.

par LEE S B

22 mars 2017

Thanks for the awesome content!!!

par Priyanka F P

14 avr. 2019

Excellent technical information!

par Ben T

28 déc. 2016

Highly educative and recommended


27 sept. 2020

Good explanations on the topics

par George P

6 mai 2019

Very good introductory topics!

par Humbert S

1 mai 2017

Great course, great teachers!

par Anna C C

7 mars 2021

Very useful and interesting!

par Timothy D

18 sept. 2020

Interesting and informitive/

par Maximilian L

24 mai 2020

Very good & hands-on course!

par austin v v

24 avr. 2018

Another great lesson series.

par 龚子轩

28 juin 2018

I really enjoy this class!

par Ratnapratim C

16 mai 2020

I enjoyed it Great course

par Gabriel U U

25 mai 2018

Great Learning experience