: Datascience short course 1

This course is to be completed in 8 weeks at maximum 10 hours per week.

Learners doing this course should first do the “Intro to Tilde for non-coder bootcampers” course.

Week 1: Introduction to Data Science. The big picture

Level 1: Conversational fluency

Group sessions

Session 1

The first group session should be an ice-breaker. The learners should be introduced to the staff who will be taking part in the course in different ways. Any setup problems should be addressed.

Session 2

Conceptual session: This should be based on previous conceptual questions covered in:

If the learners are struggling with finishing the questions on time then this can be a hot-seat session focused on helping the learners overcome any technical difficulties people are struggling with.

Week 2: Introduction to Python

Level 1: Conversational fluency

Learners will need to know about the basics of Python, lists, loops, iterating, if statements, and functions to be able to apply these skills in even the most basic data-wrangling projects. The entire solo-learn basic course will be useful.

Level 2: Practical exposure

Level 3: Beginner level practical skills

Group sessions

Session 1:

How to learn to code. Assessing your own knowledge and each others.

Session 2:

Hotseat

Week 3: Intro to statistics and Pandas

Level 1: Conversational fluency

Level 2

Projects:

  • implement statistical functions in Python from scratch. Eg calculate the mean etc

Intro to Pandas

  • calculate statistical things using dataframes

Week 5: EDA 1

  • Load and display data in different ways

  • no real wrangling required at this point, focus on drawing stuff and knowing what graphs are useful

  • simple graph projects. Maybe a datacamp thing

Week 6: Data Wrangling 1

Something that uses data wrangling and visuals. Do we have such a thing?

Week 7: Final project time

Week 8: Final project time

Extra

If the breathers are not necessary or if learners get to the end of the course early, we’ll do this:

SQL


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