Data Analytics Courses In Ontario

Data analytics courses in Ontario offer comprehensive training in interpreting and utilizing data to drive business decisions. Programs cover foundational topics such as data manipulation and visualization, advanced techniques including predictive modeling and machine learning, and practical applications in business intelligence. Students also explore big data technologies and address ethical considerations in data use. Courses are available in various formats and durations, catering to aspiring analysts and professionals across multiple industries. By completing these courses, learners gain valuable skills for careers as data analysts, business intelligence specialists, and data scientists.

Transcript

1. DATA ANALYTICS COURSES IN ONTARIO
2. WHAT ARE DATA REPRESENTATIONS? Data representations are different tools you can use to share information. Depending on what you want to communicate and who you want to communicate it to, you might use numbers, pictures, or charts to represent your data.
3. WHY ARE THEY USEFUL? COMPARE DATA ORGANISE INFORMATION EASY TO UNDERSTAND AND SHARE
4. EDUCATE OTHERS WHY ARE THEY USEFUL? MAKE DECISIONS SPOT TRENDS/ PATTERNS
5. Let’s explore different ways we can represent data!
6. PIE CHART Blue 30% Yellow 30% Pink 20% Purple 15% Orange 5% A pie chart looks like a pizza and divides up one whole into parts. Use a pie chart when you want to show how something is divided into parts. They are great for data given in percentages!
7. BAR CHART A bar chart uses bars (vertically or horizontally) to show and compare data. Apple Banana G rape Pear Straw berry 0 5 10 15 20 25 Use a bar chart when you want to compare different categories or items.
8. 1 2 3 4 5 0 10 20 30 40 LINE GRAPH A line graph uses lines to show how data changes over time. Use a line graph when you want to track how something changes over different timescales (minutes, hour, days etc.) Time (hours)
9. HISTOGRAM 120 125 130 135 140 145 150 155 0 1 2 3 4 5 A histogram is like a bar chart but for numbers in ranges (not categories). Use a histogram when you have data in different ranges, like measuring the heights of people in your class. Height (centimetres)