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    Back to Managing Data Analysis

    Learner Reviews & Feedback for Managing Data Analysis by Johns Hopkins University

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    4.6
    stars
    3,350 ratings

    About the Course

    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 th...
    ...
    Highlights
    Helpful quizzes

    (3 Reviews)

    Well-organized content

    (24 Reviews)

    Top reviews

    MA

    Jul 21, 2017

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    Mar 1, 2017

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    Filter by:

    26 - 50 of 471 Reviews for Managing Data Analysis

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    By Michaela S

    •

    Nov 15, 2021

    Great for providing a framework for managing the process from Question to Communicating the outcome. The section on uncertainty was good - highlights the gap and the importance of statistical literacy in the corporate world (which seems to be non-existant).

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    By Javed A

    •

    Mar 31, 2020

    Brilliant Course delivered by a fantastic instructor. This is the best course in this specialization. Its duration was very suitable. I remained thoroughly engaged. The quizzes were very well organized. I am feeling proud to learn from Coursera.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By 武利鑫

    •

    Jun 14, 2016

    First thanks for your efforts,I am very like your course ,because you give me a system of managing data analysis . At the same time you give me many thought .Expecting more communivating. At last thank you again ,expecting for your new courses.

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    By Carlos A H

    •

    Jun 24, 2019

    Excellent overview of managing data analysis... an area of improvement for this course is emphasize the importance of communication more and how visualization tools, such as Tableau may make communication to a larger audience more effective.

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    By Brendan L

    •

    May 20, 2016

    Very enjoyable and informative course. The course focuses on the process of data science rather than the technical aspects of data science. Provides a great overview. The lecturer is engaging and knowledgeable. An easy five stars.

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    By Julien N

    •

    Feb 19, 2018

    very good overview of data analysis for beginners (but cannot hurt any kind of audience, it never hurts to have some guidance, process ;)

    Really good pace and concrete examples / use cases to illustrate every classes.

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    By Carlos J

    •

    May 19, 2017

    Un curso mu bien diseñado, que nos permite conocer los conceptos básicos de la Ciencia de Datos, recomendado para todos aquellos que amamos el análisis de datos en esta era del Big Data y la Inteligencia de Negocios

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Soh S Y E

    •

    Jun 18, 2018

    Great course for beginners to Data Analysis! Dr Peng provides clear and easy to understand explanations of the Data Analysis process. Especially useful for beginners with little or no knowledge on this area

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    By Ashish D

    •

    Dec 31, 2015

    Very concise and logically structured. Although no prior knowledge is required as the course says but I suggest a basic familiarity with statistics can help you extract maximum knowledge out of this course.

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    By MD A

    •

    Jul 21, 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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Ed L

    •

    Mar 1, 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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Sunil T

    •

    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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    By Jorge Q

    •

    Apr 3, 2020

    Muy bueno para entender como manejar el proceso de análisis con un equipo de analistas. Elaborar bien la pregunta que se quiere estudiar y clasificarla me pareció lo mas interesante. Gracias!

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Kate L

    •

    Apr 17, 2018

    Great course for those who want a comprehensive overview of an analysis from A-Z. The professor explains each aspect in perfect detail, gives easy to understand examples, very comprehensive.

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    By Musharavati E M

    •

    Jan 21, 2017

    Overall, the course is well structured. The topics covered are very significant in my day to day operations. I can apply everything I learnt from this course with greater understandability.

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    By Eveline R

    •

    Jul 19, 2020

    Prof. Roger Peng does an outstanding job in teaching this course with a positive attitude and presents the subject matter in an easy to understand fashion. I very much enjoyed this course!

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    By Mike B

    •

    Sep 4, 2017

    One of the best courses I've taken. The instructor presented a clear approach and variety of suggestions for improving the consistency and quality of data science projects. Very useful!

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    By Stamatis-Christos S

    •

    Dec 9, 2020

    The course was well structured. I would strongly advice those that take it to download and read the books suggested for a better understanding of the way to manage the data analysis.

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    By liuyu

    •

    Nov 1, 2015

    professor Peng gave very practical advice on the design of the statistical model, and generalized procedure to conduct data analysis.and he gave very informative written reviews too!

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    By Daniel M M

    •

    Sep 4, 2017

    Focused and to the point. For each phase, the emphasis was on the important questions for a Data Manager, without being thrown too much into the technical details of the analysis.

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    By Dzung H H

    •

    Sep 17, 2020

    Everybody should complete this course before and even after starting to analyse data because the course helps me to understand better and to have a more comprehensive view.

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    By Vaughan W

    •

    Feb 1, 2017

    Good review of the data analysis process, though it loses momentum when it gets into the communication & presentation areas. On to the next course in the specialization!

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    By Jeff F

    •

    Jan 12, 2018

    This felt a lot more detailed that the previous courses (which was great!) and I feel like I've genuinely learned some stuff (the six type of questions) that I can use!

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    By Jill W

    •

    May 30, 2016

    This is a challenging and excellent course ! This course really tunes you into the nuances of Data Analysis.

    I would recommend this course for anyone in Data Management.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Christian T

    •

    Feb 8, 2020

    Excellent course. Really enjoyed the instructor. Finally getting into some analysis. Made me want to refresh my stat skills and get working on a challenging project!

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