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.
Este curso faz parte do Programa de cursos integrados Executivo em ciência de dadosExecutivo em Ciência Dados
oferecido por
Informações sobre o curso
O que você vai aprender
Identify strengths and weaknesses in experimental designs
Learn novel solutions for managing data pulls
Describe common pitfalls in communicating data analyses
Understand a typical day in the life of a data analysis manager
Habilidades que você terá
- Statistics
- Data Science
- Data Analysis
- Data Management
oferecido por

Universidade Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Programa - O que você aprenderá com este curso
Introduction, the perfect data science experience
This course is one module, intended to be taken in one week. Please do the course roughly in the order presented. Each lecture has reading and videos. Except for the introductory lecture, every lecture has a 5 question quiz; get 4 out of 5 or better on the quiz.
Avaliações
- 5 stars60,78%
- 4 stars27,78%
- 3 stars8,28%
- 2 stars2,02%
- 1 star1,12%
Destaques
Principais avaliações do CIÊNCIA DE DADOS NA VIDA REAL
Many real life examples but in the courses the instructor introduced some new concepts which could be useful if get into more details of them.
I like that this course examples the many ways an experiment/analysis can go wrong and how to address these issues. Very practical for the practitioner.
Exceptional course in conveying a real life situation, vastly different from an ideal one. The course puts you up to speed in handling such situations with aplomb.
Another excellent Executive Data Science course. Brian gives clear and concise explanations of the ideal versus real world of the data science workplace.
Sobre Programa de cursos integrados Executivo em ciência de dadosExecutivo em Ciência Dados
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.

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