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学生对 Johns Hopkins University 提供的 Data Science in Real Life 的评价和反馈

4.5
2,378 个评分

课程概述

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...
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Statistics review

(44 条评论)

热门审阅

LW

Aug 20, 2020

Slightly difficult for non data science background people, but is manageable to have a dip into this course and stimulate a "real life" experiences shared by course insructor.

KL

Aug 12, 2016

Is good to have some data science background to enroll in this course, overall still good to learn and get the hint of how real life data scientist life is.

筛选依据:

251 - Data Science in Real Life 的 275 个评论(共 289 个)

创建者 Giovany G

Jul 15, 2020

I would prefer that the examples be expressed with statistical and mathematical calculations

创建者 Gilson F

Aug 2, 2019

Não gostei muito da didatica do instrutor e os slides não ajudam no entendimento

创建者 emilio z

Jun 5, 2017

Explanations in videos qere not very clear nor very well connecetd with the Quiz

创建者 Christopher L

May 3, 2018

Would have liked a bit more examples and math in some cases. Others were fine.

创建者 Ioannis L

Apr 9, 2017

A bit less engaging than the other parts of the Executive Data Science course.

创建者 Patricia S

Jan 2, 2020

good content but could be simplified and presented in a more focused man

创建者 Gowtham V

May 2, 2020

Would like to have simpler examples to understand some of the concepts.

创建者 Amal L C

Mar 16, 2017

It was quite hard with all the statistical jargon. Too much theory.

创建者 Victor M R G

Nov 1, 2021

Curso entretenido, aunque algo ligero en la parte conceptual.

创建者 Poon F

Jan 30, 2018

This class has more useful materials than previous ones.

创建者 Manas B

May 10, 2016

Relevant materials, but lecture delivery is rather dry,

创建者 Matej K

May 1, 2018

Sometimes it was hard to understand what's going on.

创建者 Andrea B

Oct 27, 2023

Average experience - neither excellent nor terrible

创建者 Angelina

Apr 2, 2019

The material is too long and boring.

创建者 SANDHIYA M

Dec 23, 2024

It's good survey and awesome

创建者 Weihua W

Jan 18, 2016

Too short, too expensive.

创建者 Tamara G

Jun 7, 2020

Technical vocabulary

创建者 Yuvaraj B

Dec 26, 2017

Very Good Content

创建者 Mohammed R

Aug 4, 2020

Good

创建者 Francisco

Jun 21, 2020

The lecturer seems afraid of the camera and the feedback on the quizzes should be better. Also, the summary readings should have all the information in the presentations, so you can check up everything more easily in one place.

创建者 Aline O

Jul 16, 2019

This course for me was the most difficult to understand. Using as example situations with health area was hard to understand how I can apply in my case. But in general, the other courses were very nice for me.

创建者 Jean-Gabriel P

Aug 10, 2017

OK content but delivery could be better. Also poor value for money (you pay 49$ for a course you can finish in a few days) versus other Coursera courses that get you much more bang for your buck.

创建者 UMUT R A

Jun 20, 2020

worst course in executive data science specialization, hard to understand concept. specific examples on health researchs are not common to understand

创建者 Karun T

Feb 28, 2017

The content was redundant at times, at other the dots that were trying to be connected were to wide apart on the spectrum

创建者 Massimiliano T A

Dec 31, 2020

I expected this course to be more practical and with more business example