Advanced Descriptive Statistics Course Development

I need a fully-fledged, advanced-level course that dives deep into descriptive statistics and is ready for delivery as quickly as possible. The aim is to take learners who already know the basics and push them toward expert-level understanding of exploratory data analysis, high-dimensional summaries, and the latest visualization techniques.

Here’s what I require:

• Detailed syllabus that logically builds from core concepts (moments, shape, variability) toward multivariate and high-order descriptive measures.
• Slide deck (PowerPoint, Keynote, or Google Slides) for each module, complete with speaker notes.
• Practical notebooks or scripts in R or Python (your choice) that reproduce every example used in the slides.
• At least two real-world datasets per module plus guided solutions.
• Weekly problem sets with solutions and grading rubrics.
• A brief instructor guide outlining learning objectives, pacing, and tips for assessments.

Acceptance criteria: all materials must be original, correctly reference cited sources, run without errors, and reach me in a format that can be edited later. Because the timeline is ASAP, I expect updates every 48 hours until hand-off, and the first draft of the syllabus within three days of project start.

If you thrive on tight deadlines and love turning complex statistical ideas into engaging learning experiences, let’s get started right away.