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Managing Data Analysis

Executive Data Science,

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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Rating 4.4 based on 304 ratings
Length 2 weeks
Effort 1 week of study, 4-6 hours
Starts Jul 3 (42 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructors Roger D. Peng, PhD, Jeff Leek, PhD, Brian Caffo, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Leadership And Management

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What people are saying

managing data analysis

Managing Data Analysis is the third course in “Executive Data Science” specialization offered by John Hopkins University on Coursera.

Mind blowing approach was adopted especially in the basic components of Managing Data Analysis.

First thanks for your efforts,I am very like your course ,because you give me a system of managing data analysis .

Excellent focus on what makes managing Data Analysis teams different from managing managing other teams.

Great Discussions from Managing Data Analysis Great instructor and helpful course materials!

High level guidance on managing the data analysis process end to end good For a high level course on managing data analysis from initiation to final read out- course emphasizes the right points If only the course lasted a little bit longer... for those who wish to complete the course as soon as possible, this is the course you should take otherwise i personally find it hard to get the idea of what really "managing data analysis" means other than its basic concepts and models/ trends etc.

Excelent combination to managers that need to deal with Data Science projects A complete overview in managing data analysis The videos are to long, but the content is great.

The world would be a better place if more people in analytics would follow these simple rules 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.

Curso muy completo y ejemplos adecuados Good communication Thank you very much for your excellent course.Best Regards Omid Faseli Managing Data Analysis is the third course in “Executive Data Science” specialization offered by John Hopkins University on Coursera.

The lectures in Managing Data Analysis are of good quality and the instructor is generally easy to understand.

Managing Data Analysis provides a useful overview of the process of data analysis, but it is taught at a level appropriate for data analysts.

I give Managing Data Analysis 3.5 out of 5 stars: Good.

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very good

More case study to relate will be very useful Good for introduction in Data Science Process very good !!!

Ideal introductory course for experienced people before they deep dive into specific courses in analytics.. 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.

very good start on the topic Very practical lecture.

Very Good.

Very good course.

Very good balance between content and presentation Great examples about difference between 'association' and 'predictive' understanding and pitfalls of decision making without knowing which one to be used where!

Very good... very important...Maybe too fast for a single week... Best course in the specialization - thanks team!

Very good and quick lessons on Data analysis.Managers should appreciate this course!

Very good and interesting course, I recommend!

Very good start to my carrer in the data science field!

This was a nice course with a very good theory about all the process,which a data analyst has to perform.

Very good online learning course regarding Data Analysis I've taken the first three courses at this point and this has easily been my favourite.

Very good overview.

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process of data

The one-week course discusses the process of data analysis at a high level from formulating questions to exploratory analysis, inference, modeling and communicating results.

Good baseline - might be hard to follow for someone who has not been working the DS Specialization Great introduction to the process of data analysis!

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

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very informative

I liked it The course was very informative but the slides were a little boring.

It was very informative.

very informative in general framework of data analysis, very helpful!

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!

Very informative, but not easy to follow.

Highly recommended Interesting and very informative!

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high level

The high level over view of the life cycle of data analysis projects was interesting and overall this was a good introduction to the field.

Very usefull course to have a high level view of a data analysis assignment or project This course is not for a person without any idea of Data analysis or Statistics.

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Rating 4.4 based on 304 ratings
Length 2 weeks
Effort 1 week of study, 4-6 hours
Starts Jul 3 (42 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructors Roger D. Peng, PhD, Jeff Leek, PhD, Brian Caffo, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Leadership And Management

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