Data Analytics
Master data collection, processing, analysis, and visualization techniques. Learn statistical methods, data mining algorithms, and business intelligence tools for extracting insights from data.
Topics Covered
About This Subject
Data Analytics is the practice of examining raw data to draw conclusions about organizations and make informed decisions. This course combines statistics, computer science, and domain knowledge to process and analyze large datasets.
The study materials cover the complete data analytics pipeline including data acquisition, cleaning, transformation, analysis, and presentation of results. Each technique is illustrated with real-world examples and hands-on case studies.
Resources include practical examples using popular analytics tools and programming languages, visualization best practices, and statistical foundations. The materials prepare you for both theoretical understanding and practical application of data analytics in business scenarios.