Master SQL for Data Science

SQL database skills are consistently among the most sought after in the world of data science. Master the skills needed for data science project specialists, and develop a solid foundation of knowledge for working with SQL engineers. This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes.

Introduction

• Course Objectives, Course Agenda and Appendixes Used in this Course
• Overview of Database and Related Products
• Overview of relational database management concepts and terminologies
• Introduction to SQL and its development environments
• Tables used in the Course

Retrieving Data using the SQL SELECT Statement

• Capabilities of the SELECT statement
• Arithmetic expressions and NULL values in the SELECT statement
• Column aliases
• Use of concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword
• Use of the DESCRIBE command

Restricting and Sorting Data

• Limiting the Rows
• Rules of precedence for operators in an expression
• Substitution Variables

Using Single-Row Functions to Customize Output

• Describe the differences between single row and multiple row functions
• Manipulate strings with character function in the SELECT and WHERE clauses
• Manipulate numbers with the ROUND, TRUNC and MOD functions
• Perform arithmetic with date data
• Manipulate dates with the date functions

Using Conversion Functions and Conditional Expressions

• Describe implicit and explicit data type conversion
• Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
• Nest multiple functions
• Apply the NVL, NULLIF, and COALESCE functions to data
• Use conditional IF THEN ELSE logic in a SELECT statement

Reporting Aggregated Data Using the Group Functions

• Group Functions
• Creating Groups of Data
• Restricting Group Results

Displaying Data from Multiple Tables Using Joins

• Introduction to JOINS
• Types of Joins
• Natural join
• Self-join
• Non equijoins
• OUTER join

Using Subqueries to Solve Queries

• Introduction to Subqueries
• Single Row Subqueries
• Multiple Row Subqueries

Using the SET Operators

• Set Operators
• UNION and UNION ALL operator
• INTERSECT operator
• MINUS operator
• Matching the SELECT statements
• Using ORDER BY clause in set operations

Managing Tables using DML statements

• Data Manipulation Language
• Database Transactions

Introduction to Data Definition Language

• Data Definition Language

Introduction to Data Dictionary Views

• Introduction to Data Dictionary
• Describe the Data Dictionary Structure
• Using the Data Dictionary views
• Querying the Data Dictionary Views

Creating Sequences, Synonyms, Indexes

• Overview of sequences
• Overview of synonyms
• Overview of indexes

Creating Views

• Overview of views

Retrieving Data by Using Subqueries

• Retrieving Data by Using a Subquery as Source
• Working with Multiple-Column subqueries
• Using Scalar subqueries in SQL
• Correlated Subqueries
• Working with the WITH clause

Advanced Querying Techniques

• Using Subqueries to Manipulate Data
• Inserting by Using a Subquery as a Target
• Using Correlated Subqueries to Update and Delete rows
• query_partition_clause
• order_by_clause
• windowing_clause
• RANK
• DENSE_RANK
• FIRST and LAST
• FIRST_VALUE
• LAST_VALUE
• LAG
• LEAD
• LISTAGG
• and many more…