Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0011
Organization's ID:
556
Organization:
Statistics.com
Location:
Online
Length:
4 weeks
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 Introduction to Data Analytics
Description

Objective:

The course objective is to teach students everything they need to know to get started using Python for data analysis. The course reviews basic Python skills and data structures, and then covers loading data from different sources, rearranging it and aggregating it. Finally, the course teaches how to analyze and visualize data to create high-quality products.

Learning Outcomes:

  • Group, aggregate, merge, and join data.
  • Read and write data.
  • Use Pandas for data analysis.
  • Create, format, and output figures using matplotlib for visualization.
  • Understand basic concepts in computer programming via Python.
  • Construct conditional statements and loops.
  • Work with strings, lists, dictionaries, and variables.
  • Handle time series and data frames.

General Topics:

  • Getting Started with Python
  • Data Handling and Strings
  • Python and Pandas
  • Visualization
Instruction & Assessment

Instructional Strategies:

  • Discussion
  • Practical Exercises

Methods of Assessment:

  • Other
  • Graded practical exercises and discussion forums

Minimum Passing Score:

73%
Supplemental Materials