Course

Credit Type:
Course
ACE ID:
THNK-0010
Version:
1
Organization's ID:
INTRO_DATA_ANALYTICS-501
Organization:
Thinkful DBA. Chegg Skills
Location:
Online
Length:
Self-paced. 8-16 weeks
Minimum Passing Score:
100
ACE Credit Recommendation Period:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 Introduction to Data Analytics
Description

Objective:

The course objective is to teach students essential skills in Excel, SQL, Python, and Tableau. Students learn to transform raw data into actionable business insights. Through practical exercises and real-world projects, they learn to analyze complex datasets, generate data-driven recommendations, and use AI tools to enhance workflows.

Learning Outcomes:

  • Use Excel for analysis and visualization
  • Turn raw data into insights
  • Extract and clean data using code
  • Build dashboards in Tableau
  • Apply analytics to real-world challenges
  • Build a portfolio and prepare for analytics roles

General Topics:

  • Data Fundamentals
  • Excel Analysis
  • SQL and Python
  • Data Visualization
  • Problem Solving
  • Career Growth
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Case Studies
  • Coaching/Mentoring
  • Computer Based Training
  • Discussion
  • Practical Exercises
  • Project-based Instruction
  • Performance Rubrics (Checklists)
  • AI Activities for self reflection

Methods of Assessment:

  • Case Studies
  • Other
  • Performance Rubrics (Checklists)
  • Quizzes
  • Written Papers
  • AI Activities for self reflection
Supplemental Materials
Equivalencies

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