Data Science Fundamentals Workshop 01 - Analyzing Data and Building a Dashboard

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.

Running the Workshop

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

IBM Watson Studio(Recommended):

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

Step 1: Create Watson Studio Service

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

2. Navigate to Watson Studio

Step 2: Create Watson Studio Project

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

Step 3: Create Jupyter Notebook 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!

Setting up the workshop local machine:

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