Summary of "The Data Janitor 101", Daniel Molnar

00:00:00 - 00:30:00

The Data Janitor 101 video provides a basic overview of the data janitor role, and discusses the various tasks that a data janitor may be responsible for. The video covers the importance of data management and how to keep data normalized and reliable. It also discusses the importance of being able to understand and predict future events based on past data. Finally, the video recommends training and development for data scientists in order to maintain their skills and independence.

• 00:00:00 The speaker discusses the importance of data in startups, and how the first data analyst is responsible for creating definitions and solid foundations for what is later built. This can be a difficult task, but is essential to success.
• 00:05:00 The Data Janitor 101 video provides a basic overview of data quality and the importance of taking care of it from the start of a project. The video points out that if you can rule just a handful of important metrics, you'll be much more successful than if you try to do too many things at once. The presenter offers free resources to help you learn more about data quality and how to approach it in your projects.
• 00:10:00 The data janitor is responsible for cleaning up the data in a company's data warehouse, and should be familiar with a number of programming languages and data-management tools.
• 00:15:00 The Data Janitor 101 video teaches how to clean up data to make it easier to work with. The video features Daniel Molnar, a data scientist, and James Pickens, a data janitor, discussing the importance of data cleaning and how to do it effectively. The two discuss the importance of starting with qualitative methods and then moving on to point-and-click data cleaning tools. Molnar also warns against overcomplicating data cleaning tasks and advises always keeping in mind Occam's razor, a rule of thumb that states that the simplest explanation is usually the best explanation.
• 00:20:00 The data janitor explains how close mobile app users are to the probability of success when implementing proper Absolute Mobile Client strategies, and how this can be costly. He also recommends using free online resources to help generate ideas, and suggests that an important part of a company's approach is managing the various models generated on devices.
• 00:25:00 The Data Janitor 101 video covers the importance of data management and how to keep data normalized and reliable. It also discusses the importance of being able to understand and predict future events based on past data. Finally, the video recommends training and development for data scientists in order to maintain their skills and independence.
• 00:30:00 This video provides a basic introduction to the data janitor role, and discusses the various tasks that a data janitor may be responsible for.