Course

Course Summary
Credit Type:
Course
ACE ID:
GOOG-0009
Organization:
Coursera Inc.
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:

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:

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

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