Use of SQL in data science
Understanding the databases
Querying a database to create the table
Aggregating the data using count, min etc.
functions
Different joins in SQL
Inserting, updating and deleting
No prerequisites, you will learn everything in the course.
This SQL for data science course will introduce you to concepts of Structured Query Language (SQL), Databases, DBMS, etc. with practical demonstrations, so that you not only understand the concepts but also master it practically.
The course is designed for bners to SQL and database management systems. This SQL for Data Science course will help you understand how SQL can be used to store, access and retrieve data to perform data analysis.
It is becoming ever more important that companies make data-driven decisions.
With big data and data science on the rise, we have more data than we know what to do with.
One of the basic languages of data analytics is SQL, which is used for many popular databases including MySQL, Postgres, SQLite, Microsoft SQL Server, Oracle, and even big data solutions like Hive and Cassandra.
I’m going to let you in on a little secret. Most high-level marketers and product managers at big tech companies know how to manipulate data to gain important insights. No longer do you have to wait around the entire day for some software eeer to answer your questions – now you can find the answers directly, by yourself, using SQL!
Topics covered in this course:
What is a Database
Installing Postgres
Creating Tables
SELECT Statement
WHERE Clause
AND & OR
Filtering Operators
ORDER BY
LIMIT
DISTINCT
Renaming Columns
Functions
GROUP BY & HAVING Clauses
Aggregation Queries
Subqueries
CASE Clause
Correlated Subqueries
Table Joins
INNER and OUTER Joins
UNION, UNION ALL and EXCEPT Clauses
People willing to dive into data science field
