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Data Science in Real Life

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.

Created by Johns Hopkins University


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What you’ll learn


Through this learning resource you will acquire the compentencies required from organizations today. The most relevant technique in the educational resource that is commonly requested from employers is Data Analysis.

Who will benefit?


Evaluating the description from this learning resource with nearly 10,000 data-related job postings, we determine that those interested in Data Scientist roles have the most to gain.