The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line.
DurationThe ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line.
In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improve and expand the success of the business.
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Train, Enable, Transform. Mecer Inter-Ed (MIE) is passionate about providing extensive training solutions ranging from skills development and qualification programs to international accredited certifications.
Become internationally accredited and recognized Microsoft Azure Data Scientist.
This training course is designed to help participants strengthen their skills using R for effective data modelling and analysis. The course will briefly introduce basic methods for data import, data management, simple graphics, and basic statistical analysis; and provides a firm foundation for stat...
In a working environment increasingly characterised by rapid change and uncertainty and an ever-strengthening imperative for higher performance, leaders and managers know they have to get the best from their employees and the best from themselves in order to develop an effective workplace.
Data analysis is defined as the process of acquiring data from various sources and unearthing valuable insights or patterns from the data. It has been recognized as an assistive tool for businesses.
Data analytics is the science of drawing insights from raw information sources. Data is the foundation of the digital age; hence, it is important to inspect, cleanse, transform, and model data with the goal of discovering useful information, inform conclusions, and support decision-making.
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