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

2,300 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: 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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76 - 100 sur 280 Avis pour Data Science in Real Life

par Pascal U E

8 nov. 2018

Great practice example, great team at Zillow, and that to DataCamp


16 mars 2017

Very informative course.. ample of examples to relate with topics.

par Manuel E

8 juil. 2019

Good review of everything that can go wrong… and eventually will.


24 févr. 2019

It is a helpful course about a statistical area. I recommend it.

par Martin B

19 juin 2018

Enjoyed it very much. Keep it up guys ;-) Greetings from germany

par SOM D M

1 mars 2017

Great Course for Learning Data science practical applications.

par olive

27 sept. 2016

Excellent experience - I cant wait for the capstone project.

par Fayez A S

7 juil. 2019

It opened new understanding for me. Loved every bit of it.

par JUAN A S

22 oct. 2021

Muy bueno, pero se me dificultan los exámenes en inglés.

par Tunga L

20 juin 2020

Excellent course. Awesome Faculty, Interesting Quizzes,

par Alessandro F

10 nov. 2016

somewhat demanding in some of the points but effective

par Larry J C

16 avr. 2021

Excellent class I've learned a lot about Data Science

par Joseph S

1 août 2017

Excellent presentation. Very practical and relevant.

par Chris S

17 juil. 2016

Like this one as well as the others in the series

par Ajay P

21 févr. 2016

Excellent course, material and superior teaching.

par sudheer m

24 août 2017

good insights into the approach we should pursue

par SJ H

14 juin 2020

Brian Caffo is somebody who knows how to teach.

par Alzum S M

19 janv. 2019

It's an excellent course. I have learnt a lot.

par Sanketh G

2 août 2017

Detailed view on how to look at real life data

par Ghada

14 févr. 2016

wonderful in all ways, I really enjoyed it!

par Deleted A

10 juin 2019

Claridad del contenido entregado del curso

par Yonathan M P

8 juin 2019

Great course!!!!! Tons of useful insights!

par Reto W

3 juil. 2016

Good Presentation; informative & engaging

par Sateesh K R

10 mars 2016

Excellent overview course on Data Science

par Cheleen

9 juil. 2020

Its very easy and useful to oru studies