📊 Intermediate SQL for Data Analytics - Full Course

Data Nerds! This repo contains all the files needed to follow along my free course: Intermediate SQL for Data Analytics

Team Members 👥

🙋🏼‍♂️ Course Leader: Luke Barousse
🎬 Course Producer: Kelly Adams
📺 Video Editor: Brannon Linder

Table of Contents

👷 Section Under Construction

Load Database Locally

Prerequisites:

• PostgreSQL Installed
• pgAdmin Installed

Steps:

1. Download the Contoso database.
2. Open pgAdmin 4.
3. In Object Explorer, connect to your PostgreSQL server.
4. Right-click on "Databases" > "Create" > "Database...".

5. Enter contoso_100kfor "Database" and click "Save".
6. In Object Explorer, right-click on the contoso_100k database > "PSQL Tool".
7. In the PSQL Tools Window, enter \i [path to contoso_100k.sql] and press enter.

\i '/Users/lukebarousse/Desktop/contoso_100k.sql'

8. In the Query Tool, set default password for the postgres user to password.
   ⚠ If you have sensitive information in your server DO NOT do this step ⚠️

ALTER USER postgres WITH PASSWORD 'password';

Run SQL Locally in Jupyter Notebook

Prerequisites:

• PostgreSQL Installed
• Anaconda Installed
• Database Running Locally

Steps:

1. Create a new conda environment with ipykernel, pandas, and matplotlib:

conda create -n sql_course python=3.11 ipykernel pandas matplotlib

2. Activate the environment:

conda activate sql_course

3. Install the jupysql and psycopg2 packages:

conda install -c conda-forge jupysql psycopg2

4. Upgrade jupysql, necessary due to this issue:

pip install --upgrade jupysql

5. Activate the sql_course environment in the notebook.

Found a Typo? Want to Contribute?

• If you find an error in this repo, please feel free to make a pull request by:
  • Forking the repo
  • Making any changes
  • Submitting a pull request