Introduction to Inferential and Descriptive Statistics
Issued by
IBM
This credential earner has the advanced competencies to use statistics to make data-driven recommendations or decisions. The individual has the technical knowledge and practical skills to differentiate between common data distribution types, sample a population, calculate descriptive statistics with Microsoft Excel, and apply inferential statistical analysis to formulate data-driven recommendations. The earner has practiced essential workplace skills and explored data analytics career pathways.
- Type Validation
- Level Advanced
- Time Days
- Cost Free
Skills
- Analytical Thinking
- Attention To Detail
- Career Management
- Communication
- Critical Thinking
- Data Analytics
- Data Sets
- Descriptive and Predictive Modeling
- Growth Mindset
- Inferential Statistics
- Introductory Statistics
- Learning Agility
- Microsoft Excel
- Problem Solving
- PWID-B0839800
- Research
- Statistical Samples
- Statistical Significance
Earning Criteria
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Successfully complete self-paced online modules, designed by IBM, which include formative and summative assessments and experiential learning.
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Pass a capstone project with a grade of at least 80%, demonstrating the ability use statistics to make data-driven recommendations or decisions.
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This credential is available to learners registered with a higher-education institution implementing an IBM SkillsBuild program.