This course, offered by the University of Colorado Boulder, delves into the data analytics practices executed in the business world. It covers the analytical process, data creation, storage, and access, and the environment necessary for analytics to thrive. Students will gain a deep understanding of the information lifecycle and the types of events used in business analytics. The course also introduces relational databases and SQL for extracting analytical data sets.
This comprehensive course is ideal for individuals seeking to position themselves for success within their organizations and provides a solid foundation for advanced investigative and computational methods in data analytics for business.
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The course comprises four modules covering topics such as real-world data and analysis, analytical tools, data extraction using SQL, and real-world analytical organizations. Students will gain a comprehensive understanding of data analytics practices in the business world.
The first module, "Data and Analysis in the Real World," provides an introduction to the course and specialization. It discusses analytical problems, conceptual business models, the information-action value chain, real-world events and characteristics, and data capture by source systems. This module lays the groundwork for understanding the real-world application of data analytics.
The second module, "Analytical Tools," delves into analytical technologies, data storage and databases, big data and the cloud, virtualization, federation, in-memory computing, relational databases, and the tools of the data analyst. It equips students with the necessary tools and technologies for effective data analysis in a business context.
The third module, "Data Extraction Using SQL," introduces students to SQL and its applications in data extraction. It covers aggregating and sorting data, extracting data from multiple tables, stacking data with the UNION command, extending SQL queries using operators, and using SQL subqueries. Students will gain practical skills in data extraction using SQL.
The fourth module, "Real World Analytical Organizations," explores roles and structures within analytical organizations, data governance, data privacy, and data quality. It offers insights into the practical implementation of data analytics within real-world business settings, addressing organizational and ethical considerations.
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