SCHOOLVILLE BOOTCAMP PROGRAM (BCP)
Data Analysis & Data Science
Course Code: BCP-DDS-101
Course Description
Data analysis, visualization, and business intelligence to drive data-informed decisions.
Course Overview
Data Analysis & Data Science skills are in high demand, as organisations increasingly rely on data to guide decisions. This BootCamp provides participants with practical, hands-on skills in SQL, Python, R, and modern BI tools - delivered through Project-Based Learning (PBL) combining instructor-led training, guided labs, and industry mentorship.
Course Prerequisite
No previous data analysis experience is required.
RECOMMENDED REQUIREMENTS:
- • Basic computer literacy
- • Comfort with spreadsheets (preferred but not mandatory)
- • Logical and analytical thinking
- • Personal laptop computer
- • Reliable internet connection
Course Delivery Method
Instructor-Led
- • Physical Classroom
- • Virtual Live Classroom
- • Hybrid Learning
Course Language: English Language
Course Outcomes
Upon successful completion, participants will be able to:
Clean, transform, and analyse datasets using Excel, Python, and R.
Write SQL queries to extract and join data across tables.
Apply exploratory data analysis techniques to uncover insights.
Build interactive dashboards in Tableau and Power BI.
Design meaningful KPIs and metrics for a business context.
Communicate data-driven insights clearly to stakeholders.
Build and present a professional data analysis portfolio.
Course Duration
DURATION
12 Weeks
Intensive Study
FREQUENCY
5 Days / Week
Regular Tracks
SESSION LENGTH
6 Hours / Day
Accelerated Format
TOTAL LEARNING
360 Hours
Practical & Theory
Daily Schedule Breakdown
• 3 Hours Guided Instructor-Led Practical Training
• 3 Hours Independent (Unguided) Practical Session
Course Structure
The course is delivered through three progressive learning modules. Each module builds on the last - from foundations, to applied practice, to advanced work and a capstone project.
Foundations Module
Core Practice Module
Advanced & Capstone Module
Module 1: Foundations Module (SBM)
Duration: 2 Weeks (60 Hours)Data Analysis Concepts
Excel for Data Analysis
Data Cleaning Techniques
Writing SQL Queries
Joins & Aggregations
Working with Real Datasets
Module 2: Core Practice Module (SIM)
Duration: 2 Weeks (60 Hours)Data Analysis with Python (Pandas)
Statistical Analysis with R
Exploratory Data Analysis
Visualization Principles
Building Dashboards in Tableau
Building Dashboards in Power BI
Module 3: Advanced & Capstone Module (SAM)
Duration: 2 Weeks (60 Hours)Data Storytelling Techniques
KPI & Metric Design
Presenting Insights to Stakeholders
Capstone Planning
Building the Data Capstone Project
Presentation Preparation
Total Lessons Summary
Module
Lessons
Foundations Module (SBM)
6
Core Practice Module (SIM)
6
Advanced & Capstone Module (SAM)
6
Total Lessons
18
Practical Laboratory Activities
Assessments, Capstone Project & Project Presentation
Assessment is competency-based and measures technical knowledge, analytical ability, practical skills, documentation, and professional communication.
Assessment Component
Weight
Foundations Module (SBM)
10%
Core Practice Module (SIM)
20%
Advanced & Capstone Module (SAM)
30%
Capstone Project
30%
Project Presentation
10%
Total
100%
Capstone Project
Each participant or project team will complete a practical data analysis project, turning a real dataset into actionable business insight.
Capstone Planning & Proposal
Requirements & Needs Analysis
Solution Design & Architecture
Technical Implementation
Testing & Quality Assurance
Documentation & Reporting
Stakeholder Presentation
Portfolio Packaging
Peer & Mentor Review
Projects should include:
Problem identification and analysis
Solution design
Technical implementation or demonstration
Testing and validation
Recommendations
Professional documentation
Project Presentation (Demo Day)
Participants will present their completed projects before a panel comprising:
Projects will be evaluated based on:
Certification
Participants who successfully complete all programme requirements will receive the Schoolville BootCamp Certificate in Data Analysis & Data Science, with classifications of Pass, Credit, Merit, or Distinction based on overall performance.
Graduates will also complete the programme with a professional portfolio demonstrating practical laboratory work, applied projects, and a capstone project suitable for employment, consulting engagements, or further professional certification pathways.
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