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Introduction to Database and Data Collection

  • 2Steps


Upon completion of this course, students are expected to • Differentiate various data storage solutions, such as relational databases, NoSQL databases, data warehouses, and data lakes • Create and manage cloud-based databases, such as AWS RDS and MongoDB • Manage and upload data to data lakes, such as AWS S3 • Design relational databases to preserve data consistency and integrity • Design NoSQL databases to increase availability and reliability • Apply the least-privilege security policies on data servers • Design basic HTML webpages and create simple static websites • Check data source restrictions and usage and respect dcopyrightight and protect data privacy • Able to crawl information from websites • Able to collect social media data or other online information with APIs • Sort, aggregate, join, and filter data in relational and NoSQL databases • Use Structured Query Language (SQL), MongoDB Query Language (MQL), and Python to insert, query, update, delete and modify data in relational databases and NoSQL databases • Calculate basic statistics and create simple visualizations with Python or BI tools

You can also join this program via the mobile app. Go to the app



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