Skills - Jupyter, Python, Pandas IBM Cloud, IBM Cloud Object Storage, IBM Watson Studio

Extracting essential data from a data set and displaying it is a necessary part of data science. Understanding analytics and trends through displayed data is the purpose of a dashboard.

There are two ways to run this workshop (IBM Watson Studio / Locally)

We would recommend using IBM Watson Studio so you don't have to worry about installing Jupyter Notebooks locally.

1. Log in to your IBM Cloud Account (create one if you don't have one already)

2. Navigate to Watson Studio

A project is how you organize your resources to achieve a particular goal. Your project resources can include data, collaborators, and analytic assets like notebooks and models.

Follow the steps to Create a Project in Watson Studio

After you set up a project and configured the environment, you can create a notebook file. Note: This repository provides a sample notebook to get you started.

• Clone this repo: $ git clone https://github.com/mrina24/ds-fundamentals-01
• Create a new Notebook. Select the From File tab and upload the ds01-notebook.ipynb to Watson Studio Project
• Launch the notebook and follow the steps in there to get started!

You can also complete this workshop locally by installing and running the notebook in this repo locally:

• Clone this repo: $ git clone https://github.com/mrina24/ds-fundamentals-01
• Follow the official quick start guide to Install and Run iPython/Jupyter Notebook
• Launch the notebook and follow the steps in there to get started! $ ipython notebook ds01-notebook.ipynb