diff --git a/docs/source/quickstart-docker.rst b/docs/source/quickstart-docker.rst
index d4153a14..21cb67f5 100644
--- a/docs/source/quickstart-docker.rst
+++ b/docs/source/quickstart-docker.rst
@@ -1,49 +1,60 @@
-Using Docker
-============
+Install JupyterHub with Docker
+============================================
+
+The JupyterHub `docker image `_ is the fastest way to set up Jupyterhub in your local development environment.
+
+The ``JupyterHub`` docker image runs the Hub service only. It does not provide other Jupyter components such as Notebook installation, which are needed by the single-user servers.
+To run the single-user servers, which may be on the same system as the Hub or not, Jupyter Notebook version 4 or greater must be installed.
.. important::
+ We strongly recommend that you follow the `Zero to JupyterHub`_ tutorial to
+ install JupyterHub.
+
+
+Prerequisites
+-------------------------------
+You should have `Docker Desktop`_ installed on a Linux/Unix based system.
- We highly recommend following the `Zero to JupyterHub`_ tutorial for
- installing JupyterHub.
-Alternate installation using Docker
------------------------------------
-
-A ready to go `docker image `_
-gives a straightforward deployment of JupyterHub.
-
-.. note::
-
- This ``jupyterhub/jupyterhub`` docker image is only an image for running
- the Hub service itself. It does not provide the other Jupyter components,
- such as Notebook installation, which are needed by the single-user servers.
- To run the single-user servers, which may be on the same system as the Hub or
- not, Jupyter Notebook version 4 or greater must be installed.
-
-Starting JupyterHub with docker
+Run the Docker Image
-------------------------------
-The JupyterHub docker image can be started with the following command::
-
+To pull the latest JupyterHub image and start the `jupyterhub` container, run this command in your terminal::
+
docker run -d -p 8000:8000 --name jupyterhub jupyterhub/jupyterhub jupyterhub
-This command will create a container named ``jupyterhub`` that you can
-**stop and resume** with ``docker stop/start``.
+This command exposes the Jupyter container on port:8000. Navigate to `http://localhost:8000` in a web browser to access the JupyterHub console.
-The Hub service will be listening on all interfaces at port 8000, which makes
-this a good choice for **testing JupyterHub on your desktop or laptop**.
+You can stop and resume the container by running `docker stop` and `docker start` respectively.::
-If you want to run docker on a computer that has a public IP then you should
-(as in MUST) **secure it with ssl** by adding ssl options to your docker
+ # find the container id
+ docker ps
+
+ # stop the running container
+ docker stop
+
+ # resume the paused container
+ docker start
+
+
+If you are running Docker on a computer that has a public IP address, you must **secure it with ssl** by adding ssl options to your docker
configuration or using a ssl enabled proxy.
-`Mounting volumes `_
-will allow you to store data outside the docker image (host system) so it will
-be persistent, even when you start a new image.
-The command ``docker exec -it jupyterhub bash`` will spawn a root shell in your
-docker container. You can use the root shell to **create system users in the container**.
-These accounts will be used for authentication in JupyterHub's default
+`Mounting volumes `_
+persist and stores the data generated by the docker container, even when you stop the container.
+The persistent data can be stored outside the host system.
+
+
+Create System Users
+-------------------------------
+
+Spawn a root shell in your docker container by running this command in the terminal.::
+
+ docker exec -it jupyterhub bash
+
+The created accounts will be used for authentication in JupyterHub's default
configuration.
.. _Zero to JupyterHub: https://zero-to-jupyterhub.readthedocs.io/en/latest/
+.. _Docker Desktop: https://www.docker.com/products/docker-desktop