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Avis et commentaires pour l'étudiant pour Data Science in Real Life par Université Johns-Hopkins

4.4
1,620 notes
187 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

Aug 20, 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

Nov 12, 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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1 - 25 sur 186 Examens pour Data Science in Real Life

par Liping L

Jan 29, 2019

This is a recommended course where you understand what are the requirements for a data engineer, data manager and data scientis

par Elton K

Dec 14, 2018

Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.

par BAHAR A

Feb 24, 2019

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

par Ng T C

Jan 27, 2019

Good learning

par pietbartolo

Apr 12, 2019

Very useful course! I really enjoyed the technical not so much the statistical part of the course.

par Priyanka F P

Apr 14, 2019

Excellent technical information!

par Hector R C C

Mar 17, 2019

thanks!

par Jason G

Mar 18, 2019

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

par Kim K R

Dec 23, 2018

GREAT COURSE!!!

par Alzum S M

Jan 20, 2019

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

par Jocelyn D

Sep 08, 2018

Excellent course! Very interesting!

par Roque A

Sep 24, 2018

Very easy to follow with good examples. The focus on this course was on practicality and I really appreciated that

par Emmanuelle M

Oct 10, 2018

Great course, although, if you are not already working or have knowledge in this particular filed/topic, it is challenging.

par ELINGUI P U

Nov 08, 2018

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

par Niels v G

Feb 08, 2016

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

par Claudia Z

Aug 20, 2017

Was great!!! love it ;)

par Sanketh G

Aug 02, 2017

Detailed view on how to look at real life data

par Reto W

Jul 03, 2016

Good Presentation; informative & engaging

par Peter E

Mar 12, 2017

Brian Caffo does a terrific job teaching some of more advanced material, I very much appreciate his jokes and humor, as well as his helpful explanations of the material.

par vikas k

Apr 27, 2016

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

par Craig O

Jul 02, 2017

This emphasizes the often overlooked area of managing expectations.

par 龚子轩

Jun 28, 2018

I really enjoy this class!

par David G

Dec 14, 2016

Nice course thx

par LEE S B

Mar 22, 2017

Thanks for the awesome content!!!

par Michael B

Dec 27, 2017

Great course with excellent examples.