Data Visualization
Description:
The interdisciplinary field of Data Visualization has been elevated into one of the most trending topics of the recent decade due to the significant surge toward data analytics. The wide integrations that technologies such as Artificial Intelligence and Machine Learning capabilities have found in recent years have further emphasized the importance of data visualization as a complementary operation to the advanced means of data analytics that are provided. In this online course, the students will gain a comprehensive understanding of the fundamental concepts and technologies that are associated with the field of Data Visualization and its surrounding components.
The Data Visualization online course is designed to help students develop comprehensive knowledge and understanding of the field of Data Visualization and enhance their professional competency by recognizing the value of effectively representing data in graphic form for individuals, businesses, and institutions. Furthermore, in this online course, the students will gain an inclusive explanation of the contributing fields and surrounding technologies that have enabled the development of Data Visualization into the vital industrial component that we know it today, and successfully detect opportunities that can be enhanced through the integration of Data Visualization technologies.
Learning Objectives:
Upon the successful completion of the course, the student will be able to:
- Understand the fundamental aspects that are associated with the Data Visualization domain and its subdomains.
- Comprehend the vital components and technologies of Data Visualization and the contributing fields.
- Incorporate the industrial knowledge and concepts for successfully integrating Data Visualization solutions into the analytical processes of your organization.
- Develop strategies and approaches that will enable you to leverage the opportunities provided by the available Data Visualization technologies.
Course Modules & Duration:
The Data Visualization online course is projected to take 5 (five) hours to complete – including the final quiz.
| Module 1: Introduction to Data Visualization | 1 hour |
| Module 2: Business and Data | 1 hour |
| Module 3: Contributing Fields of Data Visualization | 1 hour |
| Module 4: Data Visualization | 1 hour |
| Final Quiz: A quiz that consists of 20 questions (Passing score 60%) | 1 hour |
Certification:
As soon as you finish the online course, you can download your Certificate of Achievement. This will also be accessible in your account any time you log in. Your Certificate of Achievement includes the online course you have studied, your name, the date of completion, and a verification number that can be used by future employers to verify that you passed your course.
Navigation Guide:
The Data Visualization online course is divided into manageable modules and topics. Go through these modules at your own pace and learn about each of the topics in the online course. We use images, written information, diagrams, and other resources to help you get to know the content without any problems. This online course is designed to progress without any assistance, but our support staff can be contacted if you need us.
Follow this link to download the: Navigation Guide for Data Visualization online course. If you have any further questions or require further support, please do not hesitate to contact us at operations@cunitech.ca
“The art and practice of visualizing data is becoming ever more important in bridging the human-computer gap to mediate analytical insight in a meaningful way.”
— Edd Dumbill