Course Description: Data Explorer: Python Analytics 2 Week Online Bootcamp for Teens

Online Python Data Analytics — Module 1 (2 Weeks)

Turn raw data into clear insights in a focused, mentor-led online course. Over two weeks, learners work with real-world datasets to explore, clean, analyse, and visualise information—building practical skills from Day 1 and finishing with a portfolio-ready project.

⭐ Key Facts

• Format: Live online (mentor-led)

• Duration: 2 weeks

• Focus: Python, NumPy, Pandas, descriptive stats, Matplotlib & Seaborn

• Projects: Weekly mini-projects + end-of-module showcase

• Outcomes: Certificate, personalised mentor feedback, eligibility for Level 2 (Data Analyst Creator)

What You’ll Learn

• Python for data: variables, data types, loops, functions—applied directly to datasets

• NumPy: arrays, vectorised operations, quick calculations

• Pandas: load CSV/Excel, clean, filter, groupby, aggregate, pivot

• Data analysis: mean, median, mode, standard deviation to support conclusions

• Visualisation: Matplotlib & Seaborn charts for trends, comparisons, and distributions

• Problem-solving: ask good questions, extract actionable insights, communicate clearly

Week-by-Week (guide only)

Week 1 — Getting Hands-On with Data

Environment setup • NumPy arrays & operations • Intro data manipulation with Pandas • Practice on guided datasets

Mini-projects:

1. Store Sales Analyzer — totals/averages from daily sales

2. Student Grades Processor — clean scores and spot performance trends

3. Mini Data Exploration — filter, sort, aggregate

Week 2 — Visualise & Extract Insights

Pandas groupby/pivots • Matplotlib & Seaborn fundamentals • Stats-driven conclusions

Mini-projects:

1. Sales Trend Visualizer — plot weekly trends and highlight insights

2. Product Performance Dashboard — top sellers, comparisons

3. Custom Visualisations — design Seaborn plots to tell a story

Project Showcase

Present a favourite analytics project to peers and parents (methods, insights, charts).

Mentorship (Live Support)

• 1:1 guidance on every mini-project

• Daily check-ins, debugging help, and logic walkthroughs

• Encouragement to pursue independent data questions

Certification & Progression

• Certificate of Completion: Python Data Explorer (Module 1)

• Personalised Mentor Feedback Report

• Star rating & eligibility for Level 2 — Data Analyst Creator

Practical Notes

• Live platform, session times/time zone, class size, tech requirements, accessibility (captions/recordings) and policies should be confirmed at enrolment.