A course guide for a 10-week online beginner data science programme. It explains who the course is for, lists the weekly topics from question formulation to final presentation, and shows graduate outcomes such as analyst roles and further study.
This is a course guide for a 10-week online beginner data science programme offered by BrightPath Academy. It is designed for people who are curious about data but have never written code. The guide explains what the course covers and what graduates go on to do.
The first section describes the target audience: complete beginners who will start from zero in week one. By the end of the course, students clean a real dataset, find a story in it, and present it with clear charts.
The ten weekly topics are listed: thinking in questions, spreadsheets to Python, cleaning messy data, averages and spread, charts that tell the truth, correlation and causation, the first model, testing what was built, project week, and presenting findings.
Graduate outcomes are shown as percentages: 42 percent go into analyst roles, 23 percent pursue further study, 21 percent apply new skills in their current job, 8 percent start a business, and 6 percent do other things.
The guide also gives advice on how to succeed: block three hours a week, do the exercises, ask questions in the forum, and pick a project topic the student actually cares about. A graduate testimonial is included, and the next cohort start date is mentioned.