Sort By:

There are no courses that match your criteria

,

Mar 28 - Apr 18, 2020

Tuition

$164

for 4 or 7 weeks

Wednesday 7:00PM-10:00PM

Plus 1 other learning option

Saturday 9:00AM-4:00PM

5

May 6 - Jun 17, 2020

Tuition

$197

for 7 weeks

Wednesday 6:15PM-9:15PM

3

Feb 13 - Feb 27, 2020

Plus 1 other start date

Apr 5 - Apr 26 2020

Tuition

$300

for 3 weeks

Thursday 6:30PM-9:30PM

5

Feb 24 - Mar 30, 2020

Tuition

$445

for 5 weeks

Monday 6:30PM-9:30PM

Jan 23 - Apr 9, 2020

Plus 1 other start date

Jan 24 - Apr 17 2020

Tuition

$995

for 15 weeks

Thursday 7:00PM-10:00PM

Plus 1 other learning option

Friday 6:00PM-9:00PM

4

Jan 21 - Jan 22, 2020

Plus 2 other start dates

Feb 1 - Feb 2 2020

Mar 18 - Mar 19 2020

Tuition

$1,369

for 2 days

Wednesday, Thursday 9:00AM-4:00PM

Plus 1 other learning option

Saturday & Sunday 10:00AM-5:00PM

Feb 4 - Apr 9, 2020

Tuition

$3,100

Scholarships available

for 10 weeks

Tuesday, Thursday 6:30PM-8:20PM

4.85

Jan 20 - Jun 29, 2020

Tuition

$10,500

for 24 weeks

Monday, Wednesday, Saturday

Plus 1 other learning option

Tuesdays, Thursdays and Saturdays

4

Mar 2 - May 22, 2020

Tuition

$14,950

Scholarships available

for 12 weeks

Mon - Fri 10:00AM-6:00PM

Plus 1 other learning option

Monday - Friday 10:00AM-6:00PM

Certificate

4.85

About

Data Visualization

Data visualization has come a long way from the graphs and pie charts familiar to Excel users. By harnessing the power of computer programs like Tableau and PowerBI to visually represent big data sets, data visualization today is helping reveal and communicate new patterns underlying complex behaviour, systems and processes. Like data science itself, data visualization has broad applications, including everything from projecting next quarter’s growth to plotting the formation of faraway galaxies.

Top-rated data visualization courses will enable you to better understand data and deliver compelling presentations for data analysts and non-analysts alike. Data visualization courses will also teach students to create interfaces for interacting with and manipulating data from various sources.