DAC Python101 Workshop 2019

DAC Python101 Workshop 2019

Date: 17 September 2019

Time: 7PM – 10PM

Venue: A 4.14 & A 4.15

Facilitators: Alan & Jia Er

Python is one of the leading languages in the current Data Science industry. Through this workshop, we were able to bring a glimpse of what python could do. For beginners who do not know much about coding, this was a great starting point to kickstart their interest and attain some basic skills in Python.

Facilitators for Python Workshop (from left to right: Jia Er & Alan)

Part 1 – Introduction to Python

Through the workshop, participants were able to learn how they could explore , clean and visualise their data to gain insights and make sense of any datasets they were given. These are the common practices used in the data analysis process. 

Using Google Colab to create your first Python notebook

Part 2 – Exploratory Data Analysis and Data Visualisation in Python

We used a popular library called Pandas, a common library used in Python that allowed us to view CSV files and perform data manipulation. This would allow us to explore the dataset and allow us to get a rough idea on the data that we are working with.

We also shared with the participants on how we could perform data visualisation in Python with the seaborn library, which provides with a high-level interface for drawing attractive and informative statistical graphics. The participants started with learning the reason behind filtering of data to get the precision in what they want to visualise. They would then be exposed to the various types of graphs that we could do with seaborn.

Import data from files using Jupyter Notebook
Photo of Subcommittee facilitators and our participants
Lots of participants here today!


Helping each other and learning together


Group Photo of Python 101 Workshop

End of Round 1 DA101 Workshops

Thanks for coming, hope everyone learnt or benefited from our DA101 workshops series, good job to all of our facilitators!



Missed the round 1 DA101 workshops?

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See you next time!