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学生对 Johns Hopkins University 提供的 Managing Data Analysis 的评价和反馈

4.6
3,364 个评分

课程概述

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...
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Helpful quizzes

(3 条评论)

Well-organized content

(24 条评论)

热门审阅

MA

Jul 20, 2017

Excellent course! Highly recommend it.Dr. Peng covers the essentials of Managing Data Analysis in a balanced way, and empowers the data science manager/executive to be able to apply these right away.

EL

Feb 28, 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.

筛选依据:

451 - Managing Data Analysis 的 473 个评论(共 473 个)

创建者 Sebastian C

Jul 2, 2019

The videos are to long, but the content is great.

创建者 marcA B

Sep 17, 2016

Lot of talking, lack of visual, templates, etc.

创建者 Ruchit G

Apr 12, 2018

More case study to relate will be very useful

创建者 JFW

Jul 13, 2016

Concise overview. Worthwhile introduction.

创建者 Deepak G

Jun 28, 2016

Very short. Quality of the course is OK.

创建者 Boris L

Oct 5, 2015

Not much substance to take from this.

创建者 Daniel D

Sep 27, 2019

Many very useful information.

创建者 Weihua W

Jan 18, 2016

Too abstract, too expensive.

创建者 Mohamed T K

Jun 26, 2020

Good,but boring slightly

创建者 Tristan C

May 16, 2020

Ok but a bit light.

创建者 Tiancheng S

Sep 17, 2017

不推荐没有实际经验的人学

创建者 Albert P

Jan 27, 2022

Approaches the topic from a perspective that's too academic and pedantic for working professionals. Practical, useful insights are low. The frameworks presented here just don't seem very useful and end up making data analysis seem more confusing than it really is.

创建者 Andre R

Nov 28, 2016

Not as I expected. More readings than practices/exercises. Seems more target on traditional statistics than machine learning.

创建者 Marcelo H G

Jul 14, 2017

MIssing real management stuff. Where is project management knowledge? It is superficial in management side, really.

创建者 Robert J

Nov 20, 2016

There's room for improvement, aspects are unnecessarily convoluted.

创建者 Shafeeq I

Jan 8, 2019

Not much to learn from this course. too much verbose.

创建者 蒋臻

Mar 14, 2018

Not so helpful.

创建者 Hannah W

Jun 15, 2016

This class was not useful for me. The professor talked about the idea of data analysis without ever discussing how to actually perform data analysis.

创建者 Kunal T

Dec 8, 2015

Good course but not good from coursera to not give honor certificate like it used to give.

edx still gives..very disappointed with coursera.

创建者 Doron P

Sep 7, 2020

the instructor was unclear, talks fast, and much of what he says in not included in the course resources

创建者 Himanshu P

Nov 27, 2017

trite concepts. academic crap.

创建者 Yugal D

Feb 20, 2025

Will not let me complete.

创建者 Seyyed M A D

Apr 19, 2018

Thanks