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Avis et commentaires pour l'étudiant pour Managing Data Analysis par Université Johns-Hopkins

4.5
2,198 notes
292 avis

À propos du cours

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. 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 basic data analysis iteration 2. Identify different types of questions and translate them to specific datasets 3. Describe different types of data pulls 4. Explore datasets to determine if data are appropriate for a given question 5. Direct model building efforts in common data analyses 6. Interpret the results from common data analyses 7. Integrate statistical findings to form coherent data analysis presentations Commitment: 1 week of study, 4-6 hours Course cover image by fdecomite. Creative Commons BY https://flic.kr/p/4HjmvD...
Points forts
Well-organized content
(24 avis)
Helpful quizzes
(3 avis)

Meilleurs avis

EL

Mar 01, 2017

A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.

ST

Nov 23, 2016

The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for

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1 - 25 sur 287 Examens pour Managing Data Analysis

par Ying C

Nov 28, 2015

This course gives me a general understanding of the whole process of data analyses. Pretty good!

par Elton K

Dec 14, 2018

Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.

par Alzum S M

Jan 13, 2019

An awesome course completed

par HARI M

Jan 18, 2019

Very well conceived course and excellently delivered...clear and concise

par Ajayi I M

Feb 27, 2019

Awesome

par Gustavo V

Apr 08, 2019

Very usefull course to have a high level view of a data analysis assignment or project

par Catherine P

Apr 11, 2019

Extremely interesting. Well taught.

par Omar Z

Apr 12, 2019

Intense but manageable exposure to the different types and methods of data analysis that one will encounter in any data science projects. Helps to identify areas of additional knowledge or required concepts from statistics that need to be revisited.

par Priyanka F P

Apr 14, 2019

Excellent technical information!

par Alberto M B

Mar 14, 2019

Very valuable and interesting info.

par WILLIAM E A

Mar 05, 2019

Não encontrei onde baixar o certificado ...

par Hector R C C

Mar 16, 2019

thank you!

par Kalvin L

Dec 06, 2018

Very good online learning course regarding Data Analysis

par Kim K R

Dec 07, 2018

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par Dago

Mar 09, 2019

this is a very deep reflection in Data Managing. Amazing course

par Nachum S

Jul 12, 2018

Excellent content, well explained, good use cases

par Wladimir R

Sep 09, 2018

Teachers, Content and knowledge is amazing valuable for my professional development. Highly recommended

par Kristin C

Sep 11, 2018

Really liked Roger's enthusiasm for the topic!

par Alexander I F

Aug 25, 2018

This was the best part of Specialization until now. As Product Manager I do think it's was great to understand concepts about data analysis and how to manage a team.

par Nicholas A F

Aug 17, 2018

This was a great introduction to Data Analysis. The lectures were engaging as well as the reading material.

par Rebecca T

Sep 02, 2018

This course provided me with a lot of direction for some data I'm trying to understand at work. It also made me aware of some important considerations I need to make and structure I should follow when looking at the data, so that my results will be more meaningful. I honestly thought the last section about presentation wouldn't be useful at all, but even that section provided some important insight that I hadn't previously considered, and made me feel excited about eventually presenting the results of my data analysis to my organization.

par Emilio G

Oct 29, 2018

Great content and videos, definitely worth the time and improved my knowledge in data science.

par mansi g

Oct 30, 2018

superb

par Jason C

Nov 06, 2018

I've taken the first three courses at this point and this has easily been my favourite. I particularly enjoy the focus on practical examples. Breaking down the analysis conceptually first then highlighting how this can be applied with a more complex and practical context.

par Tomas K

Jun 24, 2016

Excellent course. Would like to see more courses like this regarding machine learning for example - courses not focused on the implementation and tools (for example I am with strong Java background, have read several AI/ML books, implemented several ML algorithms, including deep learning (DBNN, SdA, Dropout FFNN) - but all courses are built around python/octave/R tools which I have no interest right now to learn and it is nearly impossible for me to learn both the implementation tool/language and ML theory in parallel.

Therefore I do not search for the course in the specific implementation language, I search for the course that can teach & verify my skills one level higher - and I think the way the examples were done in the quizzes - is the right (and perfect) way to do it.

Hth.

Tomas