- Pandas and Data Analysis
- Data Visualization
- Lecture -> Project -> Review
- Each lesson takes place with one presenting teacher and one support teacher
- Students work either with the Google's Colab or the JuperLab
- One project per week (we have 9 modules for 24 lessons)
- 3-4 students per group
- Teachers support students to conduct projects
- Set of questions
- We at the ReDI School students learn together and thrive together
- Peer review is about giving feedback
- Peer review is about understanding your peers’ code
Keep in mind:
- Be positive: We are here to learn and to thrive together
- Peer review has take place while group members are present
- Give constructive feedback
- Go into the breakout room of the team
- Team shares their screen and explains code and conclusions
- Fill out the review section
- Give them feedback on their code and conclusions.
For projects:
- Copy your Colab/JupiterLab link and paste it into the spreadsheet for your team
- Mark it as ready for review once you are done with it
- Correct the Colab/JupiterLab of the team you have to correct once they are done.
In this session, we will work on filtering datasets and grouping according to variables to get aggregated data.
We will show you a few libraries to visualize data and, in the meantime, we will start introducing you to the art of data analytics.