Data Analysis for Business Foundations
Learn essential business data analysis techniques using descriptive statistics and visualization methods. Perfect for non-technical professionals.
Learn essential business data analysis techniques using descriptive statistics and visualization methods. Perfect for non-technical professionals.
This comprehensive course introduces fundamental data analysis concepts for business decision-making. Designed for professionals without extensive quantitative experience, it covers descriptive statistics, data visualization, and basic analytical methods. Students learn to create and interpret tables, charts, and summary measures, making data-driven business decisions accessible. The course emphasizes practical applications, teaching participants to analyze both categorical and numerical business variables effectively. Perfect for those with non-scientific backgrounds, it builds confidence in using statistical techniques for business insights.
Instructors:
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What you'll learn
Learn to collect and organize business data effectively
Master data visualization techniques using tables and graphs
Calculate and interpret summary statistics for business analysis
Create professional data analysis reports
Understand probability distributions in business contexts
Apply linear correlation and regression analysis to business problems
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 foundational understanding of data analysis for business decision-making. It covers essential topics including data collection methods, visualization techniques using tables and graphs, summary statistics for numerical analysis, and reporting practices. The curriculum extends to probability distributions, focusing on random variables and normal distribution, and concludes with linear correlation and regression analysis. The course is specially designed for professionals without extensive quantitative backgrounds, making complex statistical concepts accessible through practical business applications.
Fee Structure
Instructor
1 Course
Associate Professor of Practice di Decision Sciences & Business Analytics
Renata Trinca Colonel, an Associate Professor of Practice in Decision Sciences & Business Analytics at SDA Bocconi School of Management, has established herself as a prominent figure in business analytics education and research since 2002. As the Director of Executive MBA Programs since 2021 and coordinator of Business Data Analytics for Open Programs, she combines academic excellence with practical industry expertise. Her impressive portfolio includes directing online courses in Data Analysis for Business and Research, Organization and Quantitative Data Analysis, while conducting significant research and consulting projects with major corporations like Indian Railways, Trenord, and Enel Green Power. With a degree in Economic and Social Disciplines from Università Bocconi and an ITP from SDA Bocconi School of Management, Colonel has authored numerous publications in prestigious journals including the Journal of Product Innovation Management and the European Journal of Finance. Her expertise spans business analytics, data visualization, sampling, marketing research, and statistical modeling, earning her the Bocconi Innovation in Teaching Award in 2019. As an Adjunct Professor of Statistics at Bocconi University and a corporate consultant since 2002, she continues to bridge the gap between academic theory and practical business applications in data analytics, modeling, and predictive analytics.
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