Lab #2

Labs goals:

Learn the basic skills to acquire data from different sources.

Reading the collected data by Python.

Analysis the collected data by applying simple statistics operations.

Activities:

Students can still learn and develop their skills with Python.

Steps by step tutorial for learning Pandas:

https://www.kaggle.com/learn/pandas

https://www.dataquest.io/blog/how-to-learn-python-for-data-science-in-5-steps/

Data sources (This is just example of some websites for have free dataset)

The first link has several links to open data sources:

https://www.freecodecamp.org/news/https-medium-freecodecamp-org-best-free-open-data-sources-anyone-can-use-a65b514b0f2d/

This the Saudi open data portal

https://data.gov.sa/en/home

This is COVID dataset

https://ourworldindata.org/explorers/coronavirus-data-explorer?zoomToSelection=true&time=2020-03-01..latest&facet=none&pickerSort=asc&pickerMetric=location&Metric=Confirmed+cases&Interval=7-day+rolling+average&Relative+to+Population=true&Color+by+test+positivity=false&country=USA~GBR~CAN~DEU~ITA~IND

This data.world

https://data.world

This website has codes and datasets, where students can learn how to read and explore the dataset they download in Python.

https://www.kaggle.com

Example: this webpage has over 500 codes for analyzing COVID datasets:

https://www.kaggle.com/datasets/imdevskp/corona-virus-report/code

After showing these sites to students, you can ask each one of them to pick specific domain (such as health, smart city, transportation, education, economy ...) then choose some data, and read this data in Python.