Gain insights into SQL by exploring database creation, data manipulation, and advanced queries. Learn about practical applications and practice for SQL interviews to build confidence and readiness.

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The ability to work SQL is becoming an increasingly in-demand skill, both for software developers and people in less technical roles. If you’re interested in learning SQL and have no prior experience with it, then this course will be your light in a dark tunnel.

You’ll start by covering the basics of SQL such as how to create a database, how to insert, query, and update data. You’ll also learn fundamental concepts that developers and data scientists use everyday such as multi-table operations, nested queries, and how to set up views. 

Throughout, you’ll get to execute SQL queries in your browser and see results in real-time - you won’t need to worry about set-up.

At the end of this course, you’ll also get some hands-on practice with common SQL interview questions, so when the time comes, you’ll be ready and confident to answer any question that comes your way. Let’s get started!

An Introductory Guide to SQL

# Practice Set 6
For the purpose of demonstrating analytic window functions, we added a new __MoviesScreening__ table and added some columns to the existing __Movies__ table. The relevant portion of the database relationship model is printed below.

>Connect to the terminal below by clicking in the widget. Once connected, the command line prompt will show up. Enter or copy and paste the command **./DataJek/Lessons/quiz2.sh** and wait for the MySQL prompt to start-up.


Write and execute queries for the following questions:
1. Find the top two movies of distributors who have more than one movie to their name.

   Expected Result:

|  Distributor |  Movie | CollectionInMillion  |  Rank |
| - | - | - | - |
|  Paramount Pictures |  ... | ...  | 1  |
|  Paramount Pictures | ...  |  ... | 2  |
|  Warner Bros | ...  | ...  | 1  |
| Warner Bros  | ...  | ...  |  2 |

2. Find the total, average, minimum and maximum of the production budget and revenue earned from the Movies table and append the summary data to the top of the table.

   Expected Result:

|  Name | BudgetInMillions  | CollectionInMillions  |
| - | - | - |
|  Total | ...  |  ... |
| Average  | ...  |  ... |
|  Maximum | ...  |  ... |
|  Minimum | ...  |  ... |
|  Ocean's Twelve | ...  |  ... |
| Mission Impossible  |...   | ...  |
| ...  | ...  | ...  |


3. Calculate the mean median and mode of the running time of movies.


   Expected Result:

| Measure  | Value  |
| - | - |
| Mean  | ...  |
| Median  |  ... |
|  Mode |  ... |

4. Find the correlation between budget, collection and running time of movies and display the results as a table.

   Expected Result:

|   | BudgetInMillions  | CollectionInMillions  | RunningTime  |
| - | - | - | - |
| BudgetInMillions  | 1.00  | ...  |  ... |
| CollectionInMillions  | ...  | 1.00  | ...  |
| RunningTime  | ...  | ...  | 1.00  |

5. Find the market share of top 3 distributors and aggregate the remaining distributors in a single row.

   Expected Result:

| Distibtor  | TotalCollection  |
| - | - |
| distributor 1  | amount  |
|  distributor 2 | amount  |
|  distributor 3 |  amount |
|  All Others |  amount |


Let's practice querying the tables using aggregate functions.

Introduction

Basic SQL

Joins

Nested Queries

Multi Table Operations

Views

Stored Procedures

Triggers

Miscellaneous

Practice & Prep

Epilogue

Practice Set 6

Practice Set 6