Data Analytics



The demand for data analytics skillset has increased significantly over the past 3 years across all industries.
The ease of data collection arising from the increased in Internet of things adoption, artificial intelligence
and various digital channels have resulted in vast data collected from multiple sources. Data analytics,
defined as the science that involves analysis of raw data to develop conclusions about the information, is
a process where behavioural trends and patterns are extracted for decision making. Data analytics is
widely applied in education, healthcare, hospitality, manufacturing, research, retail, travel sectors, where
real time data are present in high volume. In this course, you will learn about the different forms of data
analytics, perform deep dive analysis to make informed marketing decision, select relevant data points
and explore modern analytical tools like Tableau to perform predictive analysis, interact and visualize
data from any combination of sources with the intent to gain deeper insights of your collected data.


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