I’m assembling a short, practical data-analysis course for a cohort of international students and I need an instructor who can both demonstrate and clearly explain techniques in Excel, Python (Pandas, NumPy) and R. The sessions must move beyond theory: each concept should be shown in action through data-visualization, statistical-analysis and introductory machine-learning exercises so the class can replicate the workflow on their own machines. I’ll handle scheduling and student coordination; you’ll bring the teaching expertise. An intermediate teaching background is ideal—I’m looking for someone comfortable pacing material for learners who know a little about spreadsheets but are new to coding and advanced analytics. What I need from you: • A concise syllabus covering data-viz, statistics and ML, broken into logical lessons. • Live online instruction (we’ll use Zoom or a similar platform) with real-time Q&A. • Supporting notebooks, sample datasets and step-by-step handouts that students can download. • A brief capstone assignment so I can gauge how well the group has absorbed the material. If you enjoy guiding diverse classrooms and can translate complex methods into clear, relatable examples, let’s talk and lock in our first session.