This course will use Postgres, an advanced open-source database management system. Concepts from this course will apply equally to other database systems such as MySQL and SQL Server, with the minor syntax differences noted during class.
DurationUpwards of 90% of time on data wrangling is spent cleaning and manipulating data. With SQL you can easily address these challenges with English-like queries to a database.
The gap between the supply and demand of people skilled in SQL is huge. As nearly every industry is moving toward being more data-driven, having this skill will give you a larger role in decision-making wherever you work.
You’ll be introduced to foundational concepts like tables, data types, and queries. Once you understand the basics of viewing tables, you’ll be introduced to more advanced querying techniques like filtering and aggregating. You won't just learn the syntax, but also the crucial skill of translating plain English questions into SQL.
You will be able to drill down into specific cases or step back and see larger patterns. You’ll also learn how to combine information from different tables using join statements and views. The final day of the course will cover advanced techniques like creating subqueries and using timestamp functions.
This course will use Postgres, an advanced open-source database management system. Concepts from this course will apply equally to other database systems such as MySQL and SQL Server, with the minor syntax differences noted during class.
We provide computers with the software for all our paid courses, so you can travel light. You can bring a pen and paper/notebook to take notes if you'd like. Some classes are available on Mac, PC or either. See the class page for details. You can specify your operating system at checkout.
The program covers various concepts and tools/technologies that are essential to data development. Those concepts include Extract Transform Load (ETL) processes, Structured and unstructured data, Scripting languages, Relational and Non-Relational databases, Python, MySQL, MongoDB, Linux.
Learn about databases, querying, end user querying, relational models, SQL basics, operators, functions, summarizing data, grouping data, using joins, subqueries, set operations, inserting and deleting rows, dropping tables, indexes, creating views.
This course prepares student to become a database administrator. Database Administrators (DBAs) are responsible for the design, implementation, support, and maintenance of computerized databases in today’s organizations
SQL forms the cornerstone of all relational database operations. The ability to write the SQL language is essential for those who develop database applications. This course provides a solid foundation of the SQL programming language that enables students to build, query and manipulate databases.
The main purpose of the course is to give students a good understanding of the Transact-SQL language which is used by all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence.
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