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Applied Data Science
Applied Data Science equips students with hands-on experience using data and modern analytical tools to solve real-world problems and communicate meaningful insights.
What You'll Gain
Practical Learning:
Hands-on experience working with real datasets using tools like Excel and Python.
Ethical Awareness:
Focus on identifying and addressing bias in data collection and analysis.
Data Storytelling:
Communicate insights through clear visuals and compelling narratives.
Career Readiness:
Build in-demand skills for data-driven roles across industries.
Course Chapters
The course includes 10 chapters with 5 modules each, guiding learners from foundational statistics to advanced machine learning through a consistent five-step data problem-solving framework.
Chapter 1
Conducting Surveys and Summarizing Data
Chapter 2
Applying Probability
Chapter 3
Analyzing Center and Spread
Chapter 4
Making Inferences About Association
Chapter 5
Measuring Association Strength
Chapter 6
Comparing Quantitative Variables Across Groups
Chapter 7
Linear Regression for Prediction
Chapter 8
Predicting Categorical Variables
Chapter 9
Time-Series Analysis
Chapter 10
Cluster Analysis and Segmentation
A Look Inside the Learning Experience
Practical Learning Resources:
Content is designed to help students frame problems and structure their thinking.
Interactive Quizzes:
Questions are embedded in real-world scenarios, testing a student's ability to apply knowledge in context.
Practical Learning Resources:
For courses like Excel for Business Analytics, students work directly in a simulated environment to solve problems.
Explore the Applied Data Science Course
See how hands-on projects, ethical insights, and real-world tools prepare your students for data-driven success.
Data Skills Are No Longer Optional
Equip your students with the data science skills that drive innovation
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Shani Robinson
Senior Associate Dean, SHSU“QuantHub is an exceptional learning tool. The clear, modular design helps students move quickly while giving faculty valuable insight into their progress.”
Dr. Uma Gupta
Associate Professor USC UpstateBring Applied Data Science to Your Classroom
See how this course fits your curriculum and students’ learning goals.