Name: SQL for Data Analysis
Price: 26.99 GBP
Rating: 4.5 (59 reviews)

SQL for Data Analysis

Overview SQL is a powerful tool for data analysis, helping professionals extract insights from structured databases. This course covers essential …

SQL for Data Analysis

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SQL for Data Analysis Overview

SQL is a powerful tool for data analysis, helping professionals extract insights from structured databases. This course covers essential SQL techniques, from filtering data and performing calculations to using advanced functions and joins. By the end, learners will confidently manipulate and analyse data, preparing them for roles in data-driven industries.

Learning Outcomes

Understand the basics of SQL and its role in data analysis.
Set up the necessary tools to run SQL queries.
Use filtering techniques to refine and extract relevant data.
Apply logical operators like AND, OR, and NOT for data selection.
Perform mathematical operations within SQL queries.
Use string concatenation to manipulate text-based data.
Sort, rename, and limit records for clearer analysis.
Work with NULL values, unique records, and conditional logic.
Use both single-row and multiple-row functions to summarise data.
Execute joins, nested queries, and data manipulation techniques effectively.

Who Is This Course For

This course is ideal for beginners, analysts, and professionals who want to enhance their SQL skills for data analysis. If you work with data or aim to enter a data-driven field, this course will help you gain practical SQL knowledge. It is also beneficial for those in business, finance, and IT who need to query databases and extract insights efficiently.

Eligibility Requirements

No prior experience is needed, but a basic understanding of data and spreadsheets will be helpful. This course is perfect for beginners and professionals looking to improve their SQL skills. Learners should have access to a computer to install and use SQL tools.

Entry Requirements

Age Requirement: Applicants must be 16 or older, making the course accessible to both young learners and adults.
Academic Background: No prior qualifications required, open to all backgrounds.
Language Proficiency: A good understanding of English is essential, as all lessons are in English.
Numeracy Skills: Basic writing and numeracy skills are needed to follow the course content.

Why Choose Us

Affordable, engaging & high-quality e-learning study materials;
Tutorial videos/materials from the industry-leading experts;
Study in a user-friendly, advanced online learning platform;
Efficient exam systems for the assessment and instant result;
The UK & internationally recognised accredited
Access to course content on mobile, tablet or desktop from anywhere, anytime;
The benefit of career advancement opportunities;
24/7 student support via email.

Career Path

Completing this course opens doors to various careers in data analysis, business intelligence, and database management. SQL is widely used across industries, making it a valuable skill for roles in finance, marketing, healthcare, and technology. Mastering SQL can help you advance into more complex areas like data engineering, machine learning, or database administration.

Course Curriculum

Unit 01: Introduction
	Introduction	00:01:00
	Tools Used in This Course	00:01:00
Unit 02: Setting up Course Tools
	Download PostgreSQL	00:02:00
	Install PostgreSQL	00:03:00
	Download SQLectron	00:02:00
	Install SQLectron	00:01:00
	Connect to PostgreSQL – Credentials	00:01:00
	Connect to PostgreSQL Using SQLectron	00:02:00
	Import Course Data Using SQLectron	00:02:00
	FOR WINDOWS 32-BIT USERS: Download, Install, Configure & Import Data	00:08:00
Unit 03: Browsing & Filtering Data
	Check Imported Data	00:06:00
	What is a Database?	00:01:00
	SQL Data Types	00:02:00
	Finally Some Fun! Extracting Data Based on Requirements	00:01:00
	Filtering Data using WHERE Keyword	00:08:00
	Filter Data by Range Using BETWEEN	00:03:00
	Filter Data by Set of Values Using IN	00:03:00
	Filter Data by Date	00:05:00
	More Filtering by Date	00:03:00
	Another Query Filtering by Date	00:01:00
	Filter Data by Strings	00:04:00
	More Filtering by Strings	00:05:00
	More Filtering by Strings 2	00:10:00
	More Filtering by Strings 3	00:02:00
	How to Ignore Caps when Filtering by String	00:04:00
Unit 04: Filter Data with AND, OR, NOT Operators
	AND Operator	00:10:00
	OR Operator	00:12:00
	NOT Operator	00:09:00
	AND, OR & NOT Operators: Which Has the Highest Priority?	00:06:00
Unit 05: Math Operations
	Basic Math Operations	00:06:00
	Modulo Operatorb	00:04:00
	Calculate The Net Salary for Employees	00:06:00
	Filter Data with Math Equations	00:03:00
Unit 06: String Concatenation
	Concatenate Strings with ‘\|\|’ Operator	00:06:00
	Concatenate Strings with Numbers	00:02:00
Unit 07: Tidy Up Your Results: Sorting, Alias Names, Limit Records
	Give Your Report Fields A Cool Name	00:04:00
	A Report for Payroll	00:07:00
	Order Records by Column	00:06:00
	Order Records by Multiple Columns	00:12:00
	How Alias Names Cannot Be Used with WHERE	00:02:00
	LIMIT Record Count Fetched by Your Query	00:08:00
Unit 08: NULL, DISTINCT & CASE Statements
	Fetch A Field’s Unique Values Using DISTINCT	00:03:00
	Using DISTINCT Keyword with Multiple Columns	00:06:00
	What is a NULL Value Anyway?	00:05:00
	Build More Sophisticated Queries with CASE Statements	00:10:00
	Your Knowledge So Far Under A Great Test	00:09:00
Unit 09: Functions in SQL: Multiple-Row Functions
	Let Me Introduce You to Functions	00:04:00
	SUM Function	00:04:00
	AVG (Average) Function	00:04:00
	COUNT Function	00:07:00
	MIN & MAX Functions	00:04:00
	How To Count Your Field’s Unique Values	00:04:00
	GROUP BY Clause: Use Functions with Dimensions	00:06:00
	GROUP BY More Than One Dimension	00:05:00
	Now For Some Tough Workout	00:09:00
	Filter By Aggregate Functions with HAVING Clause	00:08:00
Unit 10: Functions in SQL: Single-Row Functions
	Character Functions – UPPER, LOWER & INITCAP	00:08:00
	Character Functions – CONCAT & LENGTH	00:10:00
	Character Functions – LPAD & RPAD	00:13:00
	Character Functions – TRIM	00:04:00
	Character Functions – REPLACE	00:09:00
	Character Functions – SUBSTR	00:10:00
	Number Functions – MOD & ROUND	00:11:00
	Number Functions – TRUNC	00:07:00
Unit 11: Nested Queries
	Selectception: A Select Query inside another Select Query!	00:06:00
Unit 12: Casting & Data Conversion
	Auto Data Conversion in SQL	00:11:00
	Cast Date to Character	00:10:00
	Cast Number to Character	00:09:00
	Cast Timestamp to Character	00:07:00
	Cast Character to Number	00:08:00
	Cast Character to Date & Timestamp	00:09:00
Unit 13: Combination Relationships
	UNION	00:03:00
	UNION ALL	00:02:00
	Important Note about Combining Queries	00:02:00
	INTERSECT	00:01:00
	EXCEPT	00:01:00
Unit 14: Joins in SQL
	Employees & Departments Tables Revised	00:03:00
	Entity Relationship Diagram (ERD)	00:09:00
	Cartesian Join	00:09:00
	Table Aliases with Joins	00:07:00
	Why I Don’t Recommend Cartesian Joins	00:08:00
	Inner Join	00:06:00
	In-Depth Look into Join Types in SQL	00:03:00
	Outer Join – Right, Left & Full	00:08:00
Unit 15: Data Manipulation (DML)
	INSERT a New Record to a Table	00:09:00
	Insert Without Specifying Column Names	00:09:00
	UPDATE a Record’s Field Values	00:07:00
	CAUTION! How an UPDATE Query Can Go Wrong	00:04:00
	Update a Record Using Single-Row Functions	00:04:00
	A Good Exercise: Extract Employee’s Email Address	00:02:00
	Solution: Extract Employee’s Email Address	00:13:00
	DELETE a Table’s Record	00:06:00
	Insert Records with Nested Select Queries	00:06:00
Unit 16: SQL Data Definition Language (DDL)
	SQL Data Types Revised	00:13:00
	Bookstore Data Set: Let’s Move It to Database	00:04:00
	Create Your First Table!	00:08:00
	Insert Data to Your New Table	00:08:00
	Change Column Data Type	00:07:00
	Rename Column	00:04:00
	Add a New Column to Table	00:04:00
	Constraints in SQL	00:01:00
	Primary Keys	00:14:00
	NOT NULL Constraint	00:05:00
	UNIQUE Constraint	00:04:00
	DEFAULT Constraint	00:04:00
	Foreign Keys	00:08:00
	Use Foreign Keys with Joins – Books & Publishers	00:06:00
	Foreign Keys – Properties	00:06:00
	Drop Column	00:01:00
	DROP Table	00:01:00
	Create a New Table with Select Statement	00:05:00
	A Trick to Create an Empty Table with Select Statement	00:03:00
	Insert New Records Using Select Statement	00:06:00
	Views	00:03:00
	Create & Use Schemas	00:04:00
	Schemas	00:02:00
Resources
	Resources – SQL for Data Analysis	00:00:00
Assignment
	Assignment – SQL for Data Analysis	00:00:00
Order Certificate
	Order Certificate	00:00:00

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SQL for Data Analysis

SQL for Data Analysis

SQL for Data Analysis Overview

Learning Outcomes

Who Is This Course For

Eligibility Requirements

Entry Requirements

Why Choose Us