Standard syllabus
Statistical consulting · Graduate · Math
Learning objectives from the Statistical consulting syllabus, grouped by unit. Click an objective for study materials.
Topics typically covered
Click a topic for the full text and related unit practice.
Graduate Statistical consulting — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).
Consulting process
- Initial client meetings — Initial client meetings
- Scoping questions — Scoping questions
- Translating research questions into statistical plans — Translating research questions into statistical plans
- Data use agreements — Data use agreements
- Confidentiality — Confidentiality
- Project timelines — Project timelines
- Deliverable definitions — Deliverable definitions
- Working with incomplete or messy client data — Working with incomplete or messy client data
Methods and judgment
- Selecting methods appropriate to client needs — Selecting methods appropriate to client needs
- When to simplify vs when to extend models — When to simplify vs when to extend models
- Documenting analysis decisions — Documenting analysis decisions
- Peer consultation — Peer consultation
- Faculty feedback — Faculty feedback
- Common pitfalls in applied collaborations — Common pitfalls in applied collaborations
Communication
- Writing reports for non-statisticians — Writing reports for non-statisticians
- Oral presentations with clear recommendations — Oral presentations with clear recommendations
- Visualizations for client audiences — Visualizations for client audiences
- Ethics: authorship and credit — Ethics: authorship and credit
- Responsible reporting — Responsible reporting
- Handling disagreement about methods or findings — Handling disagreement about methods or findings
Learning objectives
Click an objective for study materials.
Consulting process
- Initial client meetings — Initial client meetings
- Scoping questions — Scoping questions
- Translating research questions into statistical plans — Translating research questions into statistical plans
- Data use agreements — Data use agreements
- Confidentiality — Confidentiality
- Project timelines — Project timelines
- Deliverable definitions — Deliverable definitions
- Working with incomplete or messy client data — Working with incomplete or messy client data
Methods and judgment
- Selecting methods appropriate to client needs — Selecting methods appropriate to client needs
- When to simplify vs when to extend models — When to simplify vs when to extend models
- Documenting analysis decisions — Documenting analysis decisions
- Peer consultation — Peer consultation
- Faculty feedback — Faculty feedback
- Common pitfalls in applied collaborations — Common pitfalls in applied collaborations
Communication
- Writing reports for non-statisticians — Writing reports for non-statisticians
- Oral presentations with clear recommendations — Oral presentations with clear recommendations
- Visualizations for client audiences — Visualizations for client audiences
- Ethics: authorship and credit — Ethics: authorship and credit
- Responsible reporting — Responsible reporting
- Handling disagreement about methods or findings — Handling disagreement about methods or findings
Definitions and structure
- Initial client meetings — Initial client meetings
- Scoping questions — Scoping questions
- Translating research questions into statistical plans — Translating research questions into statistical plans
- Data use agreements — Data use agreements
- Confidentiality — Confidentiality
Proofs and reasoning
- Project timelines — Project timelines
- Deliverable definitions — Deliverable definitions
- Working with incomplete or messy client data — Working with incomplete or messy client data
- Selecting methods appropriate to client needs — Selecting methods appropriate to client needs
- When to simplify vs when to extend models — When to simplify vs when to extend models
Abstraction and generalization
- Documenting analysis decisions — Documenting analysis decisions
- Peer consultation — Peer consultation
- Faculty feedback — Faculty feedback
- Common pitfalls in applied collaborations — Common pitfalls in applied collaborations
- Writing reports for non-statisticians — Writing reports for non-statisticians
Modeling and computation
- Apply initial client meetings in engineering contexts — Apply initial client meetings in engineering contexts
- Apply scoping questions in engineering contexts — Apply scoping questions in engineering contexts
- Apply translating research questions into statistical plans in engine... — Apply translating research questions into statistical plans in engineering contexts
- Apply data use agreements in engineering contexts — Apply data use agreements in engineering contexts
- Apply confidentiality in engineering contexts — Apply confidentiality in engineering contexts
Data and technology
- Use software to explore statistical consulting problems numerically — Use software to explore statistical consulting problems numerically
- Interpret computational results against analytic predictions — Interpret computational results against analytic predictions
- Build spreadsheets or scripts for routine calculations — Build spreadsheets or scripts for routine calculations
- Visualize functions, fields, or datasets tied to course topics — Visualize functions, fields, or datasets tied to course topics
- Connect course methods to lab, industry, or research workflows — Connect course methods to lab, industry, or research workflows
Problem-solving practice
- Project timelines — Project timelines
- Deliverable definitions — Deliverable definitions
- Working with incomplete or messy client data — Working with incomplete or messy client data
- Selecting methods appropriate to client needs — Selecting methods appropriate to client needs
- When to simplify vs when to extend models — When to simplify vs when to extend models
Multi-Unit Problems
Course-level sets that combine skills across study units (coming soon).
Browse Multi-Unit ProblemsWhat each unit includes
Open a unit below for full materials. Typical resources:
- Study guide
- Exam Strategy
- Common Mistakes
- Worksheets
- Word problems
- Mixed Practice
- Multi-Unit Problems
- Review
- Practice test
- Answer key
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- Consulting process
Initial client meetings
Coming soon - Methods and judgment
Selecting methods appropriate to client needs
Coming soon - Communication
Writing reports for non-statisticians
Coming soon
Pricing calculator
Choose materials, tutoring, or both — or book a single session as needed. Customize your plan on the subscribe page.
$1,162 · Statistical consulting · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.