With an understanding of these options, you can make a more informed choice on what is best for you. She also goes over several popular cloud-based options: Snowflake, Snowsight, Amazon Web Services (Redshift and S3), and Google Cloud Platform. MySQL is one of the most popular SQL dialects used today, so this is another important one to understand.Īmataverna introduces you to Mongo, a nonrelational database that does not use SQL, and shows you some tools that you would need to use in Mongo. Youre likely to encounter PostgreSQL in your career, so its important to be familiar with this type of database and how it differs from other types. In this course, instructor Amataverna Lee covers PostgreSQL, MySQL, Mongo (a NoSQL database), and several cloud-based databases, to help you choose what will be best for you. He goes into association analysis and introduces you to Apriori, Eclat, and FP-Growth.īarton steps you through a time-series decomposition, then concludes with sentiment scoring and other text mining tools. He discusses aspects of dimensionality reduction, then explains clustering, including hierarchical clustering, k-Means, DBSCAN, and more.īarton covers classification, including kNN and decision trees.
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