Course Type : Full Time
Course level : Master
Duration : 2 Years 
Total tuition Fee Code : 46680 Australian Dollar A$ 
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Data analytics is the process of collecting, processing, and analyzing large and complex data sets to extract insights and information that can be used to support decision-making in various industries. The data used in analytics can be structured, such as data in a database, or unstructured, such as social media posts or email messages.
Data analytics involves a range of tools and techniques, such as data mining, statistical analysis, machine learning, and data visualization. The goal is to identify patterns and relationships in the data, and to use this information to gain insights that can be used to improve business operations, develop new products or services, or gain a better understanding of customers or market trends.
Data analytics is used in many different industries, such as healthcare, finance, retail, marketing, and government. In healthcare, for example, data analytics can be used to improve patient outcomes and optimize resource allocation. In finance, data analytics can be used to detect fraud or to make investment decisions. In marketing, data analytics can be used to identify target audiences and to optimize marketing campaigns.
As the amount of data generated by businesses and individuals continues to grow, data analytics is becoming increasingly important for organizations of all sizes. Skilled data analysts are in high demand, making data analytics a promising and rewarding career path.
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