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Data Analytics & Machine Learning for Managers
November 7, 2023 - November 8, 2023
Short course description
From business intelligence and big data analytics to application to improve products and services. How can the daily-flood of data be made understandable and usable for successful business decisions? Drowning in data, a company in the digital era must know how to handle them but also how to use them in their strategy.
What to expect
- Non-technical but informative introduction to data analytics and machine learning for data driven analysis of business processes (like customer behavior, production, turnover…)
- Data visualization and descriptive statistics (e.g. the average or variability of prices)
- Regression: analyzing associations between business factors (like marketing and sales)
- Intuition of machine learning for optimally forecasting future business outcomes (e.g.sales), based on information in past data (e.g. price, quality, competition)
- Important concepts of machine learning: alternative algorithms (e.g. decision trees, random forests, lasso, boosting…), performance assessment, and tuning of algorithms
- Business cases and practical examples with real data using the no-code software “BigML”