Trillions of dollars are lost on an annual basis every year due to poor data practices in Organizations. There’s no way organisations could continue that way.
Therefore, knowledge of Data Governance came to the rescue to improve the integrity, quality, regulatory compliance and everything else related to data in organisations.
As a brand with deep foresight we always want our students to be equipped with futuristic skills so they can stay relevant with global competitive edge.
By the end of this course you will be fully equipped with the skill to earn nicely in Pounds and Dollars while saving the organisations from their impending woes.
Course Duration: 8weeks
This course has no prerequisites. You do not have to have a technical background. It is a strictly zero coding course. All you need for this course is a Laptop with a functional internet service provider and an Open mind ready to learn and put in the work.
Data governance focuses on ensuring that data is consistent and trustworthy and doesn’t get misused. While, Data Analytics makes use of analytical tools such as Power BI, Tableau to analyse the already established data to gain useful information in decision making
Data Governance is applicable to a wider range of data categories as against GDPR (General Data Protection Regulation) which niches down on personal data.
GDPR is a legal framework for keeping everyone’s personal data safe on the internet by requiring companies to have robust processes in place for handling and storing personal information.
Not too long ago, the hail riding company, Uber, was hacked and personal information of their customers was threatened.
Another classic example was the security breach at Securitas, a global security service providing company. They had about 1.5million files saved on a misconfigured bucket. It costed them a lot to get their record together and safe.
This is where Data Governance comes into play. It is then used as a tool to manage and protect those personal data.
Business Executives, Data Management Professionals, IT staffers, End users who are familiar with relevant data domains in the organisation’s systems, Data Scientists, Data Engineers and Data Analyst.
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