IIMSKILLS 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.

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
Grape
Pear
Strawberry
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)