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 forma parte de Programa especializado: Executive Data Science
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Prueba Coursera para negociosQué aprenderás
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 obtendrás
- Statistics
- Data Science
- Data Analysis
- Data Management
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Introduction, the perfect data science experience
Reseñas
- 5 stars60,77 %
- 4 stars27,76 %
- 3 stars8,28 %
- 2 stars2,06 %
- 1 star1,11 %
Aspectos destacados
Principales reseñas sobre DATA SCIENCE IN REAL LIFE
Examples used in this course are related to Lifescience and candidates like me find it difficult to correlate. It would be beneficial to use some common life examples.
It was kind of hard to understand as I did not have any professional experience in data science. But, I am sure I can work in a professional environment now with the teachings of the professor.
Again a course with depth in content but the presentation of the course could improve , it seems a bit patchy and pre-reads would help.
Clear explanation of various concepts with good examples. Of course, reference to some cool cartoons from time to time made the concepts more memorable!
Acerca de Programa especializado: Executive Data Science

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