DATA SKILLS WITH MULTIPLY
Multiply is a selection of courses to help improve your maths and data skills
Increase your confidence with numbers
Help you use maths and data in everyday life
Lead to qualifications afterwards, such as functional skills and GCSEs
Support you to progress in work or to higher levels of training
Entry Requirements
You can start a Multiply course if you’re 19 or over and you do not have at least a grade 4 (previously grade C) in GCSE maths or qualifications at the same level.
If you think Multiply could help you get a job or access higher levels or training, you might be eligible regardless of the qualification you have.
Multiply gives you access to beginner and advanced courses and qualifications. They can take from as little as 2 hours to a few weeks to complete.
Data Courses Available Through O.S.A.T Ltd:
Making Sense of Everyday Data
Target Skills:
Basic calculations (averages, percentages), data visualization (charts & graphs).
Content:
Show how data is used in everyday life (e.g., weather forecasts, grocery bills, sports statistics).
Teach basic calculations with data: calculating average grocery cost per week, percentage change in electricity bills.
Introduce basic data visualization: explain bar charts, pie charts, and line graphs using relatable examples.
Practice interpreting data presented visually in news articles or advertisements.
Data for Smart Shopping
Target Skills:
Percentages, discounts, interpreting unit prices.
Content:
Teach participants how to compare prices using unit price (price per unit quantity).
Explain discounts and sales: calculate the actual price after a discount is applied.
Use real supermarket flyers or online shopping examples to practice these skills.
Introduce basic budgeting concepts: create a simple shopping list with estimated costs.
Managing Your Health With Data
Target Skills:
Interpreting charts, calculating averages, basic conversions (e.g., grams to ounces).
Content:
Focus on health data like heart rate, sleep patterns, or calorie intake.
Teach how to read and interpret basic charts tracking health data.
Calculate daily or weekly averages for sleep duration or calorie intake.
Introduce basic unit conversions relevant to health information (e.g., grams of sugar in a product).
Unveiling Weather Patterns
Target Skills:
Reading graphs, interpreting weather symbols, basic addition/subtraction.
Content:
Use weather forecasts with temperature highs and lows to practice addition and subtraction.
Teach how to read weather symbols and interpret chance of rain or sunshine data.
Introduce basic line graphs to show temperature trends over a week.
Discuss how to use weather data to make informed decisions (dressing appropriately, planning outdoor activities).
Understanding Your Travel Options
Target Skills:
Distances, timetables, calculating travel costs.
Content:
Use real travel timetables or online route planners.
Teach basic distance estimation and how it relates to travel time.
Calculate travel costs based on distance and fuel prices (introduce basic multiplication).
Use maps with scales to estimate travel distances between locations.
Jobs & Data: Understanding Your Career Path
Target Skills:
Percentages, data interpretation, basic data analysis.
Content:
Use real job market data on salaries, required skills, and job growth for different sectors.
Teach participants how to find and interpret data on job boards or government websites.
Calculate average salaries for different jobs and compare them.
Use data to identify job sectors with higher growth potential or skills in demand.
Introduce basic data analysis concepts like identifying trends in job market data.
Wellbeing & Data: Tracking Your Progress
Target Skills:
Data collection, basic calculations, creating data visualizations.
Content:
Introduce the concept of using data to track personal well-being factors like sleep, exercise, or mood.
Teach participants how to collect data through simple methods like journaling or using fitness trackers.
Practice basic calculations to find averages or track changes over time (e.g., average sleep duration per week).
Introduce basic data visualization tools to represent well-being data (simple charts or graphs).
Encourage participants to analyze their data and set personalized well-being goals based on insights.