Course

Course Summary
Credit Type:
Course
ACE ID:
GOOG-0009
Organization:
Location:
Online
Length:
20 weeks (205 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 6 Introduction to Data Science
Lower-Division Baccalaureate 3 Introduction to Python
Description

Objective:

This course is offered through Coursera, which is an ACE Authorized Instructional Platform.

The course objective is to develop skills in Python, exploratory data analysis, statistical methods, and machine learning needed to solve business problems using data. With hands-on projects using Python, this program prepares learners for in-demand roles like senior data analyst, junior data scientist, and data science analyst.

Learning Outcomes:

  • Explore the roles of data professionals within an organization
  • Build regression and machine learning models to analyze and interpret data
  • Create data visualizations and apply statistical methods to investigate data
  • Communicate insights from data analysis to stakeholders

General Topics:

  • Foundations of Data Science
  • Python for Data Analysts
  • Translating Data into Insights
  • Statistical Methods
  • Introduction to Regression Analysis
  • The Nuts and Bolts of Machine Learning
  • Google Advanced Data Analytics Capstone
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Discussion
  • Lectures
  • Practical Exercises
  • Project-based Instruction
  • Work-based Learning

Methods of Assessment:

  • Quizzes

Minimum Passing Score:

80%
Supplemental Materials