SQL for Data Science

About Course
Welcome to the SQL for Data Science training course! During this
course, you will learn how to use Structured Query Language (SQL)
effectively in order to query and manage data. This is a critical skill
set for any aspiring data scientist, as it helps you access and analyze
large datasets.
We will start with a review of basic concepts from database theory
such as tables, schemata, normalization, primary & foreign keys,
and joins. Next, we will dive into writing SQL queries in various
flavors including PostgreSQL, MySQL, MS-Access/T-SQL, and
Oracle. We will then use those skills to manipulate and extract
information from databases including creating views, stored
procedures, and cursors. You will also learn advanced techniques
such as subqueries and complex joins that are useful when dealing
with large datasets.
The course also includes hands on lab exercises closely tied to real
world problems — you will get a chance to apply what you have
learned in class on practical scenarios like cleaning data sets or
generating reports for stakeholders. This way you can practice your
knowledge and develop an even better understanding of SQL
fundamentals.
Finally, the class concludes with best practices on working with
large datasets – monitoring performance of queries and optimizing
them for better output times or more efficient resource usage.
This comprehensive course gives students the opportunity to
become proficient in the art of accessing information contained
within relational databases using SQL. With the help of our
experienced instructors—this knowledge can be put into practice
quickly so that by end of this training program; participants gain a
nuanced understanding of how best use Structured Query Languages
(SQLs) specifically tailored to their own purposes: be it analyzing
patterns in educational achievement results or measuring customer
buying trends across multiple stores. By equipping yourself with
these valuable tools—you will be able join the ranks of successful
data scientists who efficiently managed vast collections of digital
information through powerful search commands every day!
Course Content
SQL for Data Science
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SQL for Data Science
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