Business Analytics is crucial for modern business leaders seeking to harness the power of data for strategic decision-making and gaining a competitive edge. This specialization covers a wide range of topics including data strategy, data modeling, predictive analytics, and the application of analytics in key functional areas such as finance, marketing, retail & supply chain management, and social media.
The course modules are designed to provide a well-rounded knowledge of business analytics, integrating data science, analytics, and business decision making. Students will gain proficiency in using tools such as R, RStudio, Power BI, Alteryx, and more. The program also emphasizes the development of an analytic mindset for approaching business problems and the application of machine learning algorithms in business analytics.
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The course modules cover essential topics such as data processing with R and RStudio, communication with data, exploratory data analysis, machine learning algorithms, marketing analytics, and accounting applications. Students will develop proficiency in using various analytical tools and software.
Introduction to Business Analytics with R provides a foundational understanding of data processing using R and RStudio, emphasizing the interaction between business principles and data analytics.
Introduction to Business Analytics: Communicating with Data focuses on applying data analytics to real-world challenges, including identifying suitable analytic tools, data collection, analysis, and visualization for decision-making.
Tools for Exploratory Data Analysis in Business equips students with an analytic mindset for approaching business problems, proficiency in using software for exploratory data analysis, and understanding the value of datasets for addressing business challenges.
Machine Learning Algorithms with R in Business Analytics provides a conceptual framework for machine learning algorithms, interpretation of results, and practical application to business data.
Applying Data Analytics in Marketing introduces marketing analytics tools and approaches, covering causal analysis, survey analysis, textual analysis, and network analysis to enhance marketing decision-making.
Applying Data Analytics in Accounting explores technology topics, visualization, basic analytics in audit and control testing using R and Alteryx, text analysis, and robot process automation applications in accounting.
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