Essential Question:
- How can we use our knowledge of Python to perform advanced data operations?
Learning Objectives:
- Describe the purpose of data science and analytics
- Differentiate between Python files and notebooks
- Explore python data science libraries and their purpose
Standards:
- NYS Next Generation Learning Standards RST.4.11-12 — Determine the meaning of symbols, key terms, and other content-specific words and phrases as they are used in scientific or technical sources.
- New York State Learning Standards CDOS 3a — Students will demonstrate mastery of the foundation skills and competencies essential for success in the workplace.
- IT Specialist Python 6 — Operations using Modules and Tools
Materials:
Scaffolds:
Differentiation:
- Various mediums of resources are provided to students to suit their learning methods
Opening Task (30 Minutes)
Scholars will complete opening task on Schoology to prepare them for the mini lesson
Directions: Use your prior knowledge and internet research to answer the following questions in complete sentences:
- (Prior Knowledge) What do you think of when you hear the term data science?
- (Research) What is the definition of data science in your own words?
- (Research) What programming languages are used in data science?
- (Inference) Why do you think these languages are used?
Mini Lesson (15 Minutes)
- Teacher guided mini lesson about data science, its role, and programming languages used
Python Notebooks Demo (10 Minutes)
Instructor + Scholar we-do demonstrating features and tricks in python notebooks
Work Time (15 Minutes)
Scholars will have work time to complete their labs
- Lab 03.00 - Intro to Notebooks and Matplotlib
Break (10 Minutes)
Work Time (60 Minutes)
Scholars will have work time to complete their labs
- Lab 03.00 - Intro to Notebooks and Matplotlib
Cleanup / Dismissal (10 Minutes)
Scholars will submit Lab 03.00 on Schoology