Instructions for Hands-On Exercises
In the 2025 edition of the Smart Analytics for Industry 4.0 course, you must perform four hands-on exercises.
You can work alone or in groups of 3-4 people. The more people in the group, the higher the quality of the answers expected to be (complete, sound, and with critical thinking applied to your discussion).
In the following lines, the specifications:
- What is required to be produced by you/your team?
- How to prepare them?
- What and when to hand in?
This work is 40% of the grade of the ICT: Big Data part of the course by Genoveva Vargas-Solar
2. Work to do
2.1 Exercise 1: Data labs comparison, the case of Kaggle and Colab Data Collections Management Facilities
Deadline 30th October 2025 23:55
2.2 Exercise 2 Characterising the V features of Data Collections
Instructions can be found here
Deadline 10th October 2025 23:55
2.3 Exercise 3 Dataset quantitative profile and cleaning: The tabular data structure and its operators
Description of the tasks of the exercise [HO-1Bis]
To hand in: Share a notebook from Kaggle (no PDFs or other types of documents will be accepted), including:
- The whole set of instructions (run)
- At the end of the bottom of the exercise notebook
- Insert three markdown cells with the interpretations of the results, explaining to which extent the results answer the research question.
- A mind map (JPEG/PNG figure) associated with each family of operations that can be applied to a table (discussed in class) and the corresponding Python instructions that implement them. Use a markdown cell to insert your figure.
- The pipeline (JPEG/PNG figure) describes the logic flow implemented in the notebook for answering the research question (which steps implemented in the notebook lead to an answer to the research question?). Use a markdown cell to insert your figure.
N.B. To draw the figures, use a tool like Google Draw or draw the figures by hand and take a photo. Ensure the quality is good so that a human can read and understand.
Deadline 14th October 23:55
2.4 Analysing Mobility in the City
The exercise can be found here
- Analyse, run and understand EVERY step of the analysis.
- Answer the questionnaire proposed at the end in a separate document
- Hand in a PDF document with your answers