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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Executive Data Science
von
Über diesen Kurs
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausWas Sie lernen werden
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
Kompetenzen, die Sie erwerben
- Statistics
- Data Science
- Data Analysis
- Data Management
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Introduction, the perfect data science experience
Bewertungen
- 5 stars60,77 %
- 4 stars27,76 %
- 3 stars8,28 %
- 2 stars2,06 %
- 1 star1,11 %
Highlights
Top-Bewertungen von DATA SCIENCE IN REAL LIFE
Another excellent Executive Data Science course. Brian gives clear and concise explanations of the ideal versus real world of the data science workplace.
Highly educational course on the realities of data analysis. Many good tips for your own analyses as well as for managing others responsible for coherent and accurate analyses.
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.
One more thing to add. The link to Study.com works. But Study.com wouldn't let me watch the whole video anyway; it requires registering and subscribing (after trial period is over). Not useful.
Über den Spezialisierung Executive Data Science

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