This course focuses on teaching students the skills and techniques required to analyze and interpret large sets of data in a business context. The course typically covers a range of topics related to data analysis, including statistical analysis, data mining, data visualization, predictive modeling, and data-driven decision-making. Some of the tools, software/ languages that you will interact with during this course are: Excel, SQL, Tableau, Google Data Studio, Python
The primary objective of a business data analytics course is to provide students with the knowledge and skills necessary to extract meaningful insights from complex data sets. This involves learning how to collect, clean, and organize data, as well as how to apply various analytical methods and tools to derive valuable information from the data. Students are also taught how to effectively communicate their findings to stakeholders, such as managers or clients, to support informed decision-making processes.
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