Chevron Left
Zurück zu Data Science in Real Life

Kursteilnehmer-Bewertung und -Feedback für Data Science in Real Life von Johns Hopkins University

1,987 Bewertungen
233 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: Course cover image by Jonathan Gross. Creative Commons BY-ND
Statistics review
(44 Bewertungen)



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.


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.

Filtern nach:

151 - 175 von 234 Bewertungen für Data Science in Real Life

von Siddharth T

Apr 03, 2016

Again a course with depth in content but the presentation of the course could improve , it seems a bit patchy and pre-reads would help.

von Vivek V

Mar 08, 2020

A very well crafted course, with apt messaging and good assessments. Was able to learn a lot about the nuances of Data Science

von Karthik S N

May 01, 2016

Good concepts - apply to anyone new to data science.

Lot of good 'read further' links and materials. Learnt a lot.

von Andrew W

Nov 02, 2017

Great examples and explanations of real cases, very helpful for general understanding of concepts.

von Boris L

Oct 05, 2015

Very nice overview of what can go wrong in a data science project and what to pay attention to.

von Udaypal S N

Nov 25, 2017

Need more focus on other industries like Telecom, Banking, Manufacturing, Semi-Conductor, etc.

von Natalya K

Jul 08, 2017

A bit difficult to understand compared with other course of the specialization, but useful

von Warren L

May 05, 2017

Appreciated the anecdotes as they allowed me to remember the learnings in context

von Debasish M

Feb 02, 2017

Practical approach and gotchas to consider for doing data science in real life


Oct 19, 2016

good course, but focus more on inferential analysis than predictive analysis

von Gustavo V

Apr 14, 2019

Help me understand what can I expect from a real data science project.

von Deepak G

Jun 28, 2016

Quality of this course is better than the rest of the specialization.

von Chris C

Nov 22, 2017

A little difficult overall but had some key points to take away.

von Jomo C

Jan 28, 2018

Good course, Longer than expected. Very satisfying at the end

von Rorie D

Apr 20, 2016

great approach, thanks. A few typos, but otherwise great.

von Brian N

Apr 11, 2018

Good for introduction in Data Science Process

von Paul C

Nov 04, 2016

A solid course with lots of practical advice.

von Paulose B

Oct 31, 2016

Short session need more handson excercise


Jan 22, 2020

Good course with vibrant instructors.


Jan 07, 2017

More real world examples are required

von Hubertus H

Jan 27, 2017

Good summary on experimental design.

von Nachum S

Jul 13, 2018

Good, a bit long for the material.

von Setia B

Dec 07, 2017

I really enjoyed the course :)

von Jeffery T

Dec 01, 2017

Good course for managers

von Angel S

Jan 17, 2016

Pretty useful course