Data Analytics is the process of extracting
insights and value from data to inform business decisions, solve problems, and
identify opportunities. It involves using various techniques, tools, and
technologies to analyze and interpret complex data sets.
The Data Analytics course covers the
fundamentals of data analysis, including data visualization, statistical
modeling, and data mining. Students will learn to work with various data
formats, including structured and unstructured data, and use tools like Excel,
Python, R, and Tableau to analyze and visualize data. The course emphasizes
practical applications, case studies, and project development to prepare
students to apply data analytics skills in real-world settings.
This course aims to provide a comprehensive
understanding of Data Analytics, enabling students to extract insights from
data, communicate findings effectively, and drive informed decision-making in
various industries and organizations.