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In this semester, the whole duration of the course was spent online during MCO yet many exciting things had happened. Instead of learning in PutraBLAST, the PutraMOOC platform is being used.
Several new learning materials have also been created, and students learn together with learning partners from University of Ohio (OU), United States, where OU students shared their collected survey responses on the house design preferences in the US and UPM students build exploratory data analysis solutions.
It was the largest class i had in my experience teaching course but I was blessed for the commitment and dedication by the students. Many engaging online learning activities took place, but the best recipe is the continuous peer learning by the students.
The picture below was taken in the second week from the lecture, to welcome the students from Ohio Uni. I like this pic very much as it symbolizes the students happiness, but also to commemorate one of the students whom had passed away. My deep condolences to the family, and may his soul rest in peace.
Al-fatihah.
As usual students form groups and performed Exploratory Data Analysis using PowerBI, Tableau and Python. Students also used Streamlit as their Python data product and developed machine learning optimisation models for descriptive and predictive data mining using RapidMiner and Python sk-learn. Pls click the links to visit the students e-portfolio. I am very proud of their achievements, as many has pushed beyond limits and has transformed to be good junior data scientist.
COVID19 Daily Case Analytics
COVID19 Daily Case Analytics
Football score analytics
Football score analytics
https://sites.google.com/view/199697nurulameera-e-portfolio/home
https://sites.google.com/student.upm.edu.my/nabilah-portfolio/home
https://sites.google.com/student.upm.edu.my/ssk4604portfolio/descriptive/rapidminer?authuser=0
https://sites.google.com/student.upm.edu.my/int-football-match-portfolio/
https://sites.google.com/student.upm.edu.my/dataminingportfolio-iman/home?authuser=1
e-commerce Analytics
e-commerce Analytics
https://sites.google.com/view/brazilian-ecommerce-by-olist/home
https://sites.google.com/student.upm.edu.my/e-portfolio-ssk4604-197834/home?authuser=0
https://sites.google.com/view/braziliane-commerce-eportfolio/home
https://sites.google.com/student.upm.edu.my/project-e-portfolio197977/home?read_current=1
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