Representing, Processing, and Preparing Data

Course Overview
Hi, my name is Janani Ravi, and welcome to this course on representing, processing, and preparing data. A little about myself. I have a master's degree in electrical engineering from Stanford and have worked at companies such as Microsoft, Google, and Flipkart. At Google, I was one of the first engineers working on real-time collaborative editing in Google Docs, and I hold four patents for its underlying technologies. I currently work on my own startup, Loonycorn, a studio for high quality video content. Data science and data modeling are fast emerging as crucial capabilities that every enterprise and every technologist must possess these days. As the process of actually constructing models becomes democratized, the _____ is shifting to using the right data and using the data right. In this course, you will gain the ability to correctly represent information from your domain as numeric data and get it into a form where the full capabilities of models can be leveraged. First, you'll learn how outliers and missing data can be dealt with in a perfectly sound manner. Next, you'll discover how to use spreadsheets, programming languages, and relational databases to work with your data. You'll see the different types of data that you may deal with in the real world, and how you can collect and integrate data to a common destination to eliminate silos. Finally, you'll round out the course by working with visualization tools that allow every member of an enterprise to work with data and extract meaningful insights. When you're finished with this course, you will have the skills and knowledge to use the right data sources, cope with the data quality issues, and choose the right technologies to extract insights from your enterprise data.