Chevron Left
Retour à Data Science in Real Life

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

4.4
étoiles
2,318 évaluations

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

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.

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.

Filtrer par :

126 - 150 sur 280 Avis pour Data Science in Real Life

par Claudia Z

20 août 2017

par Rayees A L

16 juil. 2020

par John E

11 déc. 2017

par Jonathan B

22 nov. 2020

par MATHUSUTHASARANAM.P

23 sept. 2020

par yashwanth k A R

11 juil. 2020

par Albino C

10 mai 2020

par Terry L J

30 juin 2017

par Col S S

28 mai 2020

par Khalid M F

12 mars 2017

par K K

22 déc. 2018

par sagar s

3 oct. 2017

par David G

14 déc. 2016

par Manish K

4 juil. 2020

par Kayal V

8 juin 2020

par Gerwin N B

18 août 2020

par Ng T C

27 janv. 2019

par Osmar A B V

10 oct. 2021

par Peter F

23 juin 2021

par Mario L

6 mai 2018

par Odemir D J

22 juil. 2021

par ellen w

6 août 2017

par Pablo A L

8 févr. 2016

par Jinky D G

14 déc. 2021

par Flt L G R

22 juil. 2020