- Level Foundation
- المدة
- الطبع بواسطة University of Illinois Urbana-Champaign
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Offered by
عن
Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making. The courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. Topics covered include: Data strategy at firms Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making Understanding data modeling and predictive analytics at a high-level Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness.Auto Summary
The Business Analytics specialization, offered by Coursera, is designed for aspiring and senior managers, as well as business executives, aiming to harness the power of data for strategic decision-making. This foundational course falls within the Data Science & AI domain, and is taught by experienced instructors. The curriculum covers essential topics such as data strategy, reliable data collection, analysis, visualization, and predictive analytics. Learners will engage with tools like Power BI, Alteryx, and RStudio, applying analytics across finance, marketing, retail, supply chain management, and social media. The course is available with a Starter subscription.
Ronald Guymon
Kevin Hartman
Unnati Narang
Kimberly Mendoza
Ye Joo Park