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.
DurationThis 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, from descriptive and diagnostic analytics to predictive and prescriptive analytics as well as the presentation of analysis results using analytical software.
What You'll Study:
You will experience a practice-led curriculum which embraces a contemporary practice that leverages on our cultural heritage, with the aim of nurturing your creative attitudes and critical thinking.
We offer authentic learning opportunities through industrial attachments and internships, industry and community projects, and teaching practices through a steadfast network of esteemed creative industry partners.
Microsoft Power BI is quickly becoming the world’s most powerful self-service business intelligence (BI) platform, and an absolutely essential tool for data professionals and beginners alike. Microsoft Power BI can help you get more insights from your data on your computer or in the cloud.
This instructor led course provides students with the knowledge and skills to add graphs gauges and maps to reports developed utilizing SQL Server 2008 R2 reporting services.
The increased popularity of big data and data analysis projects has made visualisation more critical than ever! Data visualisation provides a quick and effective way to communicate information universally using visual information.
Depicting the insights from your data in the best possible manner is very important to any organization. This course provides an intensive hands on training on PowerBI for storytelling and analytics!
The Data Analytics module covers the main concepts and skills needed to analyse statistics, prepare data sets, summarise data, and create data visualisations.
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