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Interactive Workshop, USA

Python Data Analytics Bootcamp for Teens: 2 Weeks in 2026

Interactive Workshop, USA

This institution offers tailored coding classes designed for K-12 students, emphasizing personalized learning to nurture the next generation of tech innovators.

age icon 14-18 years old

time icon 2 weeks

Session Dates

Currently, there are no available dates for this program.

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Program Details

Course Description: Python Data Analytics Bootcamp for Teens: 2 Weeks in 2026

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:

Store Sales Analyzer — totals/averages from daily sales
Student Grades Processor — clean scores and spot performance trends
Mini Data Exploration — filter, sort, aggregate

Week 2 — Visualise & Extract Insights

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

Mini-projects:

Sales Trend Visualizer — plot weekly trends and highlight insights
Product Performance Dashboard — top sellers, comparisons
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.

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