Chevron Left
返回到 生活中的数据科学

学生对 约翰霍普金斯大学 提供的 生活中的数据科学 的评价和反馈

4.4
2,328 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...
突出显示
Statistics review

(44 条评论)

热门审阅

SM

Aug 19, 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 11, 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.

筛选依据:

26 - 生活中的数据科学 的 50 个评论(共 281 个)

创建者 Carlos A H

Jun 30, 2019

创建者 JOHN W E

Apr 29, 2020

创建者 ARVIND K S

Jun 4, 2020

创建者 Elitza K

May 5, 2021

创建者 Manjunatha V M

Jan 7, 2017

创建者 Carlos J

Sep 20, 2017

创建者 Alfredo O G

Nov 14, 2016

创建者 Gurpreet K K

Aug 2, 2021

创建者 Edgar A C V

May 14, 2018

创建者 Gautam R

May 17, 2020

创建者 Emmanuelle M

Oct 10, 2018

创建者 Michael L

Mar 31, 2018

创建者 Paulo B S

Jul 8, 2019

创建者 Roque A

Sep 23, 2018

创建者 Victor D R L

May 29, 2020

创建者 William K

Jan 4, 2017

创建者 Alberto D E

May 14, 2018

创建者 Ryan M S

Nov 10, 2019

创建者 Elton K

Dec 14, 2018

创建者 Matthias L

Aug 27, 2017

创建者 Sambit K D

Dec 8, 2020

创建者 Bart P

Apr 12, 2019

创建者 Paul S

Jan 28, 2017

创建者 Mauricio L

Jun 22, 2019

创建者 Ayna M

Dec 13, 2017