Module 10 - Data Science

Quick summary description

Before the week begins

Major Topics

Materials

Due This Week:

Graded This Week

Student Difficulty

Module 10 - Staff Meeting

Lessons

Lesson 49- Plotting

Summary: MatPlotLib is a module that can be used to make plots, including line plots, histograms, and scatter plots.

Learning Objectives:

• Create visualizations of data
• Intepret visualizations of data
• Use the “show” function to correctly render plots
• Transform complex nested data into a form suitable for plotting
• Choose a suitable graph to answer a question

Activities:

• Lesson: Plotting
• Quiz: Plotting
• Programming: Plotting

Misconceptions: None listed so far

Lesson 50- Jupyter Notebooks

Summary: Jupyter Notebooks are a convenient way to combine code, text, and the results of your program into a single document. This document can then be easily shared with others.

Learning Objectives:

• Describe Jupyter Notebooks
• Explain the purpose of a Jupyter Notebook
• Create a Jupyter Notebook
• Create visualizations to be embedded in a Jupyter Notebook

Activities:

• Lesson: Jupyter Notebooks
• Quiz: Jupyter Notebooks
• Programming: Jupyter Notebooks

Misconceptions: None listed so far

Lesson 51- Data Science

Summary: Data Science is an exciting field that uses computing and statistics to answer real-world questions.

Learning Objectives:

• Define Data Science
• Describe a Data Science workflow
• Interpret the results of a Data Science analysis

Activities:

• Lesson: Data Science
• Quiz: Data Science

Misconceptions: None listed so far