Data Science Trainer, faculty for Beginners

Over the next 2–3 months I’m rolling out a beginner-focused Data Science program and need it steered by someone with real-world experience in Machine Learning, Data Analysis and Big Data. The aim is to take absolute newcomers from their first line of Python to completing mini-projects that mirror what happens on the job, mixing clear theory blocks with hands-on coding in Jupyter, pandas, scikit-learn and, when we reach scale topics, Spark or Hadoop.

Mostly our trainees are working in System Administration field.

The format is live online sessions (about 4–6 hours a week), backed up by recordings, practical notebooks and weekly assignments that you grade and discuss in feedback clinics. I’ll supply the virtual classroom and handle enrolment; you handle the teaching and mentoring touchpoints that keep motivation high.

Deliverables
• A detailed syllabus and calendar before kickoff
• Slide decks, annotated notebooks and curated datasets for every module
• Weekly quizzes or mini-projects with marking rubrics and feedback
• Session recordings uploaded within 24 h of going live
• Mid-course progress snapshot and a final competency report for each learner

The engagement is considered successful when materials are delivered on schedule, learners stay actively involved throughout, and at least 80 % of the cohort hits the final assessment benchmark. If that aligns with your teaching style and availability, I’d like to iron out the session timings and milestone dates with you.