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”