Chevron Left
Zurück zu Data Science in Real Life

Bewertung und Feedback des Lernenden für Data Science in Real Life von Johns Hopkins University

4.4
Sterne
2,328 Bewertungen

Über den Kurs

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...
Highlights
Statistics review

(44 Bewertungen)

Top-Bewertungen

SM

19. Aug. 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

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.

Filtern nach:

201 - 225 von 281 Bewertungen für Data Science in Real Life

von Debasish M

•

2. Feb. 2017

von TCHUENTE D

•

19. Okt. 2016

von Gustavo V

•

13. Apr. 2019

von Deepak G

•

28. Juni 2016

von Sangeeta N

•

21. Feb. 2021

von Chris C

•

22. Nov. 2017

von Jomo C

•

28. Jan. 2018

von Rorie D

•

20. Apr. 2016

von Navneet W

•

10. Sep. 2020

von Brian N

•

10. Apr. 2018

von Paul C

•

4. Nov. 2016

von Paulose B

•

31. Okt. 2016

von JERRY O

•

22. Jan. 2020

von SANTOSH K R

•

7. Jan. 2017

von Hubertus H

•

27. Jan. 2017

von Nachum S

•

13. Juli 2018

von Setia B

•

6. Dez. 2017

von Jeffery T

•

30. Nov. 2017

von Angel S

•

17. Jan. 2016

von Venuprasad R

•

5. Jan. 2016

von Rui R

•

18. Juni 2017

von SARAVANAN.V

•

20. Juni 2020

von Deepa F P

•

5. Sep. 2017

von SARMAD H

•

5. Aug. 2020

von R.K.Suriyakumar

•

7. Juni 2020

Coursera Footer

Starten oder fördern Sie Ihre Karriere

Beliebte Themen durchsuchen

Beliebte Kurse und Artikel

Abschluss oder Zertifikat online erwerben

Coursera

Community

Mehr

Überall lernen
Placeholder
Placeholder
Placeholder