Data Science - Intro to Python (part 2)

Free lesson resources for teaching Data Science NPA (National Progress Award) Levels 4,5 and 6.

This lessons is an Intro to Python for Data Science (part 2 of 2) ,covering,

• understand Python data types and data structures that are important for data science
• manipulate strings
• create and call Python functions
• call a Python object’s methods and access its properties
• perform a sequence of operations using method chaining

Lesson content,

Powerpoint presentation: ‘Introduction to Python for Data Science (Part 2)’
Jupyter notebooks:
‘intro_to_python_for_data_science_part_2.ipynb’ (for learners)
‘intro_to_python_for_data_science_with_answers_part_2.ipynb’ (for teachers)
The Jupyter notebook for teachers contains answers to the tasks set for learners.
Planning document with learning intentions and success criteria
For more information on the Data Science NPA, please see teachdata.science

If you have any questions or feedback on this lesson, please email lessons@effini.com

This lesson has been created by effini in partnership with Data Education in Schools, The Data Lab and Data Skills for Work, with funding from the Scottish Government.

© 2021. This work is licensed under a CC BY-NC-SA 4.0 license.