Data Analytics and Visualisation Begins With Me (Classroom & Asynchronous)
Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2021004020
S$600
Original: S$2,000
Save S$1,400
About This Course
"This course aims to provide participants with a foundation in:
• Overview of data and data analytics
• How to read, work, analyse and argue using data
• Data as a language and common terminologies
• Data analytics process and project life cycle
• Tools and technology used for data analytics and visualisation
• Machine learning and data visualisation techniques
At the end of the course, participants will be able to:
• Apply data analytics techniques using tools through hands-on sessions
• Apply data visualisation techniques using tools through hands-on sessions
• Gain insights from data using various machine learning techniques
• Work with and communicate using data "
What You'll Learn
We live in a world that revolves around data. Data is regarded as the key resource that powers the world in the 21st century.
According to the International Data Corporation (IDC), many organisations still lack the data literacy skills to achieve business value. Organisation that have accumulated a large amount of data would not see much benefits until it is harnessed to work for your organisation.
Poor data literacy is one of the stumbling blocks and limits a company’s ability to reap value from data. To combat this, organisations will have to promote and develop their staff’s competencies in data.
Data literacy as defined by MIT is the ‘ability to read, work with, analyse and argue with data’. It is a set of core essential skills everyone in an organisation needs to use data effectively in their day-to-day activities and for decision-making. Used in the right way, data can help every employee achieve their objectives, perform their job better and contribute to overall company performance.
Employees who are data literate will also understand how to handle data appropriately, which will reduce the number of data breaches.
Managers have to lead their organisations by setting the direction and the strategies on how data can be applied in the various parts of the organisation.
This course is designed for all professionals to gain the fundamental skills to understand and work with data for the organisation.
This course aims to provide participants with a foundation in:
•Overview of data and data analytics
•How to read, work, analyse and argue using data
•Data as a language and common terminologies
•Data analytics process and project life cycle
•Tools and technology used for data analytics and visualisation
•Machine learning and data visualisation techniques
At the end of the course, participants will be able to:
•Apply data analytics techniques using tools through hands-on sessions
•Apply data visualisation techniques
According to the International Data Corporation (IDC), many organisations still lack the data literacy skills to achieve business value. Organisation that have accumulated a large amount of data would not see much benefits until it is harnessed to work for your organisation.
Poor data literacy is one of the stumbling blocks and limits a company’s ability to reap value from data. To combat this, organisations will have to promote and develop their staff’s competencies in data.
Data literacy as defined by MIT is the ‘ability to read, work with, analyse and argue with data’. It is a set of core essential skills everyone in an organisation needs to use data effectively in their day-to-day activities and for decision-making. Used in the right way, data can help every employee achieve their objectives, perform their job better and contribute to overall company performance.
Employees who are data literate will also understand how to handle data appropriately, which will reduce the number of data breaches.
Managers have to lead their organisations by setting the direction and the strategies on how data can be applied in the various parts of the organisation.
This course is designed for all professionals to gain the fundamental skills to understand and work with data for the organisation.
This course aims to provide participants with a foundation in:
•Overview of data and data analytics
•How to read, work, analyse and argue using data
•Data as a language and common terminologies
•Data analytics process and project life cycle
•Tools and technology used for data analytics and visualisation
•Machine learning and data visualisation techniques
At the end of the course, participants will be able to:
•Apply data analytics techniques using tools through hands-on sessions
•Apply data visualisation techniques
Entry Requirements
Knowledge of fundamental statistics and mathematics
Course Details
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