SQL from Zero to Hero Track - Online Learning with Certificate

SQL from Zero to Hero

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This track covers both fundamental and advanced SQL techniques, enabling confident data management, query optimization, and data analysis. It explores…

178

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249

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What you will learn

Retrieving data with SQL SELECT statement

Using aggregate functions for data summary

Joining tables with INNER, LEFT, RIGHT, FULL JOIN

Sorting data using ORDER BY clause

Grouping data with GROUP BY and HAVING

Understanding relational database design

Filtering data with WHERE clause

Creating nested subqueries for complex queries

Applying SQL functions for data manipulation

Learning track content

In this section, we will learn how to use the SQL SELECT statement to get a single table column, multiple table columns, and all table columns. We will also find out how to return unique values.

Retrieving Individual Columns

Retrieving Multiple Columns

Retrieving All Columns

Retrieving Distinct Rows

Limiting Results

Challenge: Find the Population of the Countries

Challenge: Find All Countries

Challenge: Find All Countries With Their IDs

Challenge: Find Country Capitals

Challenge: Find the Regions in Which All Countries Are Located

In this section, we’ll explore how to organize and prioritize the data returned by a query using the ORDER BY clause. Placed at the end of a SELECT statement, this clause lets you sort your results by one or multiple columns, either in ascending or descending order, enabling more meaningful and easily interpretable data output.

Sorting Data

Challenge: Population Sort

Sorting by Multiple Columns

Challenge: Dual-Sort Query

Specifying Sort Direction

Challenge: Sort the Countries by Region and Capital

Challenge: Sort Capitals in Descending Order

Challenge: Sort Countries in Ascending Order

Challenge: Find Countries, Their IDs, and Their Populations

Challenge: Find Countries, IDs, Populations, Regions, and Sort Them

Challenge: Find All Continents and Sort Them in Ascending Order

In this section, we will learn how to filter returned data using the SELECT statement's WHERE clause. We will learn how to test for equality, inequality, more and less significant than value ranges, and NULL values.

Using the WHERE Clause

Challenge: North America Population Sort

The WHERE Clause Operators

Challenge: Population Threshold Query

Checking for a Range of Values

Checking for NO Value

In this section, we’ll explore how to refine your search conditions by combining WHERE clauses with the AND and OR operators. We’ll also cover how the NOT operator can be used to exclude certain results.

Using the AND Operator

Challenge: Europe Region Sort

Using the OR operator

Challenge: America Regions Filter

Using the NOT Operator

Challenge: Non-Europe Capitals Sort

In this section, we will learn what the SQL aggregate functions are and how to use them to summarize table data.

The AVG() Function

Challenge: Surface Area Selection

The COUNT() Function

Challenge: Continental Count

The MAX() Function

The MIN() Function

Challenge: Large Surface Area Average

The SUM() Function

In this section, you will learn how to group and manage data effectively. We will introduce the GROUP BY operator for grouping data. Additionally, you will learn how to filter grouped data using the HAVING operator.

GROUP BY Clause

Order of Statements

Challenge: Total Ride Time for Each Subway Line

Challenge: Average Student's Grade

Searching for the Top Math Students Challenge

HAVING Clause

Several Aggregate Functions in the Query

More Complex Filtering

You will learn about nested subqueries, how to create them, and how to use them effectively.

Nested Queries

Challenge: Non-tech Department Employees

Using Inner Subqueries in the FROM Section

Challenge: Employees With More Than Average Salary

UNION Clause

Challenge: Combining Table Results

Here, you will learn how to combine multiple tables, allowing you to work with a unified table and simplify query creation.

JOIN 2 Tables

Challenge: Get Category By Product Price

Challenge: Get Minimum Price By Category

Challenge: Get Product Amount By Category

LEFT, RIGHT and INNER JOINs

Challenge: Table Join

Challenge: FULL JOIN Usage

Learn the fundamentals of Data Definition Language (DDL) and Data Manipulation Language (DML) in SQL, including how to create, modify, and delete database objects, as well as how to insert, update, and delete data within tables.

CREATE and Constraints

ALTER and INSERT Operations

DROP and TRUNCATE

UPDATE and DELETE

Explore the essential SQL join types—INNER, LEFT, RIGHT, and FULL OUTER JOIN—through practical scenarios and hands-on challenges.

Understanding INNER JOIN

Challenge: Find Customers with Orders

Exploring LEFT JOIN

Challenge: List All Customers and Their Orders

RIGHT and FULL OUTER JOIN in Action

Challenge: Unmatched Records Report

Challenge: Orders Without Customers

Level up your SQL skills by mastering multi-table joins, self-joins, and advanced join conditions for complex data analysis.

Joining More Than Two Tables

Challenge: Employee Project Assignments

Self-Joins for Hierarchical Data

Challenge: Manager-Employee Relationships

Advanced Join Conditions

Challenge: Complex Assignment Matching

Challenge: Employees Without Projects

Master the nuances of NULL handling in joins, optimize join performance, and tackle real-world data analysis challenges.

Dealing with NULLs in Joins

Challenge: Student-Class Report with Defaults

Join Performance and Optimization

Challenge: Optimize a Join Query

Real-World Join Scenarios

Challenge: Student Performance Dashboard

Challenge: Classes Without Teachers

This section dives into the world of relational and non-relational databases, teaching you how to visually represent database structures.

Introduction

Difference between Relational and Non-relational Databases

Entity-Relationship Model

Entity-Relationship Model. Relationships

We'll dive deep into relational databases, giving you a thorough understanding of essential concepts. This includes topics like foreign keys, various ON DELETE options, and the different types of relationships.

Structure. Primary Key and Foreign Key

Foreign Key Constraints. ON DELETE Options

Many-to-One and One-to-Many

One-to-One and Many-to-Many

Ready to build a database? This section will hone your skills, emphasizing the importance of a well-structured database for peak performance. Here, you'll grasp the fundamental principles of crafting user-friendly databases.

Explore SQL's powerful string functions for manipulating and analyzing textual data in databases.

Introduction to String Functions

Challenge: Standardize Customer Names

Challenge: Extract Email Domains

Advanced String Manipulation

Challenge: Mask Sensitive Information

Challenge: Clean Up City Names

Master SQL's date and time functions to work with temporal data effectively.

Working with Dates and Times

Challenge: Calculate Order Age

Challenge: Find Late Deliveries

Advanced Date and Time Calculations

Challenge: Monthly Order Summary

Challenge: Predict Delivery Dates

Learn to use SQL's numeric functions for calculations and data analysis.

Introduction to Numeric Functions

Challenge: Calculate Discounted Prices

Challenge: Find Low Stock Products

Advanced Numeric Operations

Challenge: Analyze Price Distribution

Challenge: Calculate Inventory Value

Harness SQL's logical functions to control query flow and make decisions based on data.

Introduction to Logical Functions

Challenge: Categorize Transactions

Challenge: Handle Missing Payment Methods

Advanced Logical Expressions

Challenge: Flag Suspicious Transactions

Challenge: Summarize Transaction Status

Master handling of NULL values in SQL using specialized functions.

Understanding Null Functions

Challenge: Assign Default Bonuses

Challenge: Find Employees Without Managers

Advanced Null Handling

Challenge: Calculate Average Bonus

Challenge: Prevent Division by Zero

Learn to work with JSON data in SQL using specialized functions for querying and manipulation.

Introduction to JSON Functions

Challenge: Extract User Interests

Challenge: Find Users by City

Advanced JSON Manipulation

Challenge: Update User Age

Now we explore the basic principles of ACID (Atomicity, Consistency, Isolation, Durability) in database management. Learn how these principles ensure reliable transactions by guaranteeing complete operations, keeping data consistent, isolating concurrent transactions, and ensuring permanent data storage.

Course Overview

What is ACID?

Atomicity

Challenge: Transaction Creation

Consistency

Isolation

Isolation. Repeatable Read and Serializable Levels

Challenge: Specifying Isolation Level for Transaction

Explore how to enhance the efficiency of your SQL queries through index optimization. Delve into the significance of indexes in database performance, learning how to design, implement, and utilize them effectively. Discover strategies for choosing the appropriate indexes, understanding their impact on query execution plans, and optimizing query performance through index selection and utilization.

What are Indexes

B-tree Indexing

Challenge: Creating B-tree Index

Hash Indexing

Data Caching

General Optimization Strategies

Challenge: Query Optimization

This section explores pivotal topics such as Triggers, Window Functions, and DCL (Data Control Language), offering comprehensive insights into their implementation and optimization strategies. Furthermore, it navigates the landscape of NoSQL DBMS, providing a thorough understanding of its architecture, advantages, and practical applications.

Triggers

Window Functions

Types of Window Functions

Challenge: Using Window Function

Data Control Language

Views

NoSQL

Explore the foundational concepts of window functions, their syntax, and how they differ from traditional aggregate functions. Learn to apply basic window functions for analytics.

What Are Window Functions?

Challenge: Calculate Running Total of Sales

Partitioning Data with Window Functions

Challenge: Top Sales per Region

Ordering and Framing in Window Functions

Challenge: 7-Day Moving Average of Sales

Challenge: Cumulative Sales by Region

Dive into ranking, percentiles, and analytic functions. Learn to use ROW_NUMBER, RANK, DENSE_RANK, and NTILE for advanced reporting.

Ranking Functions: ROW_NUMBER, RANK, DENSE_RANK

Challenge: Top 3 Salaries per Department

Percentile and Distribution Functions

Challenge: Assign Performance Quartiles

Analytic Functions: LEAD, LAG, FIRST_VALUE, LAST_VALUE

Challenge: Compare Performance Over Time

Challenge: Salary Progression Analysis

Challenge: Identify Consistent Top Performers

Apply window functions to solve complex business problems, including advanced framing, multi-function queries, and real-world analytics.

Advanced Framing Techniques

Challenge: Rolling 3-Month Spend per Customer

Combining Multiple Window Functions

Challenge: Customer Segmentation by Spend and Frequency

Real-World Analytics: Cohort and Retention Analysis

Challenge: Monthly Retention Rate Calculation

Challenge: Detect Spending Spikes

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