Data Analytics for Business
Learn to transform business data into valuable insights using analytics techniques and methodologies. Master data-driven decision making for business success.
Learn to transform business data into valuable insights using analytics techniques and methodologies. Master data-driven decision making for business success.
This comprehensive course focuses on transforming business data into actionable insights for better decision-making. Students learn to apply business analytics methodologies to real-world problems, understand how leading companies use data analytics to replace intuition with evidence-based decisions, and develop skills in running controlled experiments. The course emphasizes practical application, helping students avoid common pitfalls while mastering the scientific process of data analysis. Covering both theoretical foundations and hands-on practice, students learn to approach business problems data-analytically and use analytics software to generate valuable business insights.
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What you'll learn
Develop skills to approach business problems data-analytically and systematically evaluate how analytics can improve performance
Master the process of developing business analytics ideas and generating valuable insights from data
Learn to use business analytics software for practical data analysis
Understand how leading companies leverage data analytics for competitive advantage
Gain expertise in designing and running controlled experiments for business decision-making
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive introduction to business analytics, focusing on transforming data into actionable insights for improved decision-making. Students learn to apply scientific methodologies to business problems, use analytics software, and understand the importance of data-driven decision-making in modern business contexts. The course covers essential aspects of business analytics, including data analysis techniques, controlled experiments, and practical applications in real-world scenarios.
Fee Structure
Instructor
1 Course
Associate Professor at The Georgia Institute of Technology
Lizhen Xu is an Associate Professor of Information Technology Management in the Scheller College of Business at Georgia Institute of Technology. He serves as an associate director of Georgia Tech's multidisciplinary Master of Science in Analytics (MSA) program and was a co-director of Scheller's Business Analytics Center.
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