Data Science and Analytics

Start Here

• Course Instructor Assistance
• Learning Resources
• Topics and Pacing

Unit 1: Data Science in Healthcare

• Research and Statistics in Healthcare
• Data Science and Analytics
• Math Refresher
• Basic Principles: Descriptive vs. Inferential Statistics
• Basic Principles: Categorical vs. Continuous Dependent Variables
• Basic Principles: Parametric vs. Nonparametric Statistics

Unit 2: Data Management Techniques

• Retrieving Data
• Ensuring Data Security and Integrity
• Getting Ready for Statistics in SPSS
• Preparing a Codebook
• Creating or Importing a Data File
• Screening and Cleaning the Data
• Virtual Lab: SPSS Exercise 1: Creating a Data File

Unit 3: Introduction to Math and Descriptive Statistics

• Statistics for Preliminary Analyses
• Choosing the Best Statistical Test
• Descriptive Statistics for Sample Characteristics and Results
• Interpreting and Presenting Results of Descriptive Statistics in APA Format
• Virtual Lab: SPSS Exercise 2: Descriptive Statistics

Unit 4: Inferential Statistics: Exploring Relationships Among Variables

• Correlations
• Regression Techniques
• Sensitivity and Specificity Statistics
• Results of Exploratory Statistics in APA Format
• Virtual Lab: SPSS Exercises 3 & 4, Correlation and Multiple Regression

Unit 5: Inferential Statistics: Exploring Differences Between Groups

• Parametric Comparative Statistics
• t-Tests
• Analysis of Variance (ANOVA) Techniques
• Nonparametric Comparative Statistics
• Chi-Square Tests
• Selecting Appropriate Nonparametric Tests
• Reporting Results of Comparative Statistics in APA Format
• Evidence-Based Practice and Clinical Problem-Solving
• Virtual Lab: SPSS Exercises 5 & 6, t-Tests and One-Way Anova
• Basic Statistics Terminology Review: Drillster

Unit 6: Predictive Analytics

• Analytics vs. Statistics
• Big Data and Data Mining
• Trends and Patterns
• Predicting Future and Unknown Events

Unit 7: Final Steps