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SQL

Jul 22 2022

Query a Digital Music Store Database

Udacity Business Analytics Nanodegree program is divided into 3 modules culminating in a project after each module.

  1. Introduction to Data
  2. Using SQL for Data Analysis
  3. Data Visualization in Tableau

This project Query a Digital Music Store Database follows the learning covered in the second module Using SQL for Data Analysis.

SQL Queries

CriteriaMeets Specifications
The student can write error-free SQL queries.All SQL queries run without errors and produce the intended results.
The student can use joins correctly in SQL queries.Each SQL query needs to include one or more explicit join(s). The query's JOIN or JOINs should be necessary to answer the question. If a question does not require a JOIN, please change the question to be one that does.

Example:
SELECT *
FROM Album
JOIN Track on Track.AlbumID = Album.AlbumID
The student can use aggregations correctly in SQL queries.Each SQL query needs to include one or more aggregation(s). This could be a COUNT, AVG, SUM, or other aggregation.
Student can answer multiple questions by using SQLThe student has used at least 4 unique SQL queries in their submission.

Presentation

CriteriaMeets Specifications
The student’s slides are organized well and are easy to read and understand.Each slide should have an appropriate title, and the visualization descriptions should be free of significant factual, spelling, and grammar mistakes.
The student can create data visualizations that provide useful information.All visualizations should make logical sense and provide accurate information about the indicated area.
The student can format data visualizations clearly and make good use of labeling.All visualizations include a title and axis labels, have a legend where applicable, and are easily understood.

Every visualization should have

chart title
x-axis title
x-axis labels
y-axis title
y-axis labels

Submission Phase

CriteriaMeets Specifications
The student has uploaded all files necessary for review.

A PDF report has been uploaded, and a .txt file with the queries has been uploaded in a single zipped folder file

Project link.

Written by Rajeev Bagra · Categorized: SQL

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