TOP 10 BIG DATA ANALYTICS COURSES IN SINGAPORE

Data Analytics training is offered by Skills Square. Petreltech offers robust, Industry oriented Training, tailor-made, courses for online training and in-house training. Our staffs are highly experienced, qualified, competent, finest Industry experts. 

Our Big Data/Data Science/ML Foundation course teaches you the basic skills and expertise needed to dissect large volumes of data leading to intelligent decision-making. Considering that only 0.5% of all currently available data is analyzed and used, there’s a big opportunity waiting to be taken.

This course covers a concise introduction on business analytics and how it is applied in our workplace. In this course, participants will learn the concepts of data management, the common analytical techniques used in work environment.

Gain in-depth knowledge of Power BI and its working in distinct scenarios The three major components: Desktop, Mobile apps, and Service

The Enterprise Big Data Analyst (EBDA®) course will teach participants advanced Big Data analysis techniques and will guide participants how to build reproductible data analysis models.

Power BI is a business analytics service provided by Microsoft that allows users to visualize and analyze data from a wide range of sources.

Covering all-round concepts grounded in industry fundamentals, hands-on practical and case studies, this 2-day bootcamp addresses a wide variety of business challenges, process solutioning and how better decisions can be made by leveraging data analytics. 

The demand for visual analytics in business processes, for quick and informed decision-making, is ever increasing. Microsoft Power Business Intelligence (Power BI), is one of the solution platforms for a robust dashboard development.

Data Analytics is an integral part of every business in Singapore. To thrive in today’s business landscape, it is crucial to learn how to leverage data to make critical business decisions.

With the rise of data analytics applications, it is crucial to learn how to leverage on data analytics to extract useful information from large amounts of data and integrate business expertise with knowledge of data, to derive actionable insights.