Master of Applied Data Analytics

Course Description

Applied data analytics is the practice of using data analysis tools and techniques to make data-driven decisions in various industries and domains. This field involves collecting, cleaning, and transforming raw data into actionable insights that can be used to improve business processes, optimize operations, and increase profitability.

Applied data analytics involves the use of statistical methods, machine learning algorithms, and data visualization tools to identify patterns, trends, and correlations in large datasets. Data analysts use these tools to generate reports and dashboards that provide key stakeholders with the information needed to make informed decisions.

Applied data analytics is used in a variety of industries, including finance, healthcare, marketing, and government. In finance, data analysts use predictive models to forecast stock prices and identify market trends. In healthcare, data analytics is used to improve patient outcomes by identifying risk factors and developing treatment plans. In marketing, data analysts use customer data to develop targeted marketing campaigns that increase conversion rates and drive revenue. In government, data analytics is used to improve public services and policy-making by analyzing data on population demographics, crime rates, and economic indicators.