A course guide for a 10-week beginner online data science programme. It explains who the course is for, lists the weekly topics from thinking in questions to presenting findings, and shows graduate outcomes. Includes advice on how to succeed and a testimonial from a past graduate.
This is a course guide for BrightPath Academy's 10-week beginner online data science programme. It is written for people who are curious about data but have never written code. The guide explains that by the end of the course, students will clean a real dataset, find a story in it, and present it with clear charts.
The guide lists the ten weekly topics. Week one covers thinking in questions. Weeks two and three move from spreadsheets to Python and cleaning messy data. Weeks four and five cover averages, spread, and charts that tell the truth. Weeks six and seven discuss correlation versus causation and building a first model.
Weeks eight, nine and ten cover testing what you built, a project week, and presenting findings. The guide also shows where graduates go after the course. 42 percent go to analyst roles, 23 percent pursue further study, 21 percent apply new skills in their current job, 8 percent start a business, and 6 percent choose other paths.
The guide includes advice on how to succeed. It recommends blocking three hours a week, doing exercises even when the video makes sense, asking questions in the forum, and picking a project topic the student actually cares about. A testimonial from a past graduate is included, and the guide notes the next cohort starts soon.