- Type Validation
- Level Foundational
Foundations of Data Science
The Foundations of Data Science industry-aligned credential is awarded to earners who successfully complete Spreadsheet Software and Data Fundamentals; Descriptive Statistics; Inferential Statistics – Hypothesis Testing; and Inferential Statistics – Regression, ANOVA, and Forecasting.
- Type Validation
- Level Foundational
Skills
- Advanced Spreadsheet Graphics
- Analysis Of Variance (ANOVA)
- ANOVA
- Binomial and Discrete Distributions
- Central Limit Theorem
- Conditional Statistics
- Confidence Intervals
- Data
- Data Analysis
- Data Science
- Descriptive Statistics
- Descriptive Statistics and Data Visualization
- Forecasting
- Hypothesis Testing
- Inferential Statistics
- Introductory Data Science Concepts
- Marginal Statistics
- Mean Calculations
- Measures of Central Tendency
- Measures of Dispersion
- Model Diagnostics
- Model Selection
- Normal Distribution
- Principles of Hypothesis Testing
- Probability Theories
- QA/QC
- Real World Data
- Regression
- Sampling Methods
- Spreadsheet Functions
- Spreadsheets
- Statistical Hypothesis Testing
- Statistical Inference
- Statistics
- Testing Difference in Means
- Tests of Categorical Variables
- Time-series
- T-tests
- Variance Testing
Earning Criteria
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Earners were assessed by way of quizzes and projects. Projects included involved applying probability theory, hypothesis testing, structure, and inferential statistics to solve real-world data examples. A minimum of 80% was required on all assessments.