Applied Data Science

Following courses and workshops in Applied Data Analysis were offered:

Spring 2020

Mastering Excel Basics (Wednesdays at 18:45, 1-22 April)
EDH ONLINE: Introduction to Python (Monday and Wednesday at 17:30, 18 and 20 May)

Advanced Python: Matplotlib Essentials (Monday at 18:00, 14 October)
Introduction to R Programming (Wednesdays at 18:00, 16 February - 30 March)
Introduction to Python (Tuesdays at 18:00, 22 October - 12 November)
Mastering Excel Basics (Thursdays at 18:30, 24 October - 14 November)
SQL Fundamentals (Tuesdays & Thursdays at 18:00, 29-31 October)
R for Econometrics (Fridays at 17:30, 1-15 November)
Practical Workshop: Data Visualization and Tableau (Tuesday at 18:00, 12 November)
Introduction to Machine Learning with Python (Wednesdays at 18:00, 15 November - 4 December)
Advanced Python: Visualizing Geospatial Data (Thursday at 18:00, 21 November)
Introduction to LaTeX (Thursday at 18:00, 28 November)

SQL Fundamentals (Mondays at 18:00, 11-25 February)
Mathematics for Economists (Mondays at 17:30, 12 February - 5 March)
Introduction to Machine Learning with Python (Tuesdays and Thursdays at 18:00, 12-28 February)
Introduction to Python (Wednesdays at 18:00, 13-27 February)
Mastering Excel Basics (Thursdays at 18:45, 14 February - 7 March)
Introduction to R Programming (Mondays and Wednesdays at 17:30, 25 February - 13 March)
Introduction to MatLab (Tuesdays at 17:30, 12 March - 2 April)
Practical Workshop: Data Visualization and Tableau (Wednesday at 18:00, 13 March)
Mastering Advanced Excel Functions (Thursdays at 18:30, 14 March - 18 April)

Introduction to Python (Thursdays at 17:30, 4-25 October)
Introduction to MatLab (Tuesdays at 17:30, 9-30 October)
Practical workshop: Credit Risk Modeling (Wednesday, 17 October at 17:30)
Introduction to Python (Thursdays at 17:30, 1-22 November)
Introduction to Data Analytics (Tuesdays at 17:30, 6-27 November)
SQL Fundamentals (Thursdays at 17:30, 25 November - 13 December)

Building Shiny Apps (Tuesdays at 17:00, 13 February - 6 March)
Introduction to Machine Learning with Python (Thursdays at 17:00, 15 February - 8 March)
Mastering Advanced Excel Functions (Thursdays at 18:30, 15 March - 5 April)
Neural Networks and Deep Learning (Tuesdays at 17:00, 20 March - 10 April)
EY practical workshop: IFRS 9 - how regulation can drive quantitative model testing (Wednesday 28 March at 17:00)
Efficient Data Handling in R (Wednesday 21 March at 18:00)
Life Insurance Mathematics and Financial Analysis in Practice (Wednesdays at 17:00, 4 April - 25 April)
Practical Application of Statistical Methods in Finance using R (Thursdays at 17:00, 26 April-17 May)
Practical Workshop: Programming a NAO Robot with Python (Tuesday, 24 April at 17:00)
Data Management using Stata (Wednesdays at 17:30, 9-30 May)

Introduction to Machine Learning (Thursdays at 17:30, 5 October - 30 November, 2017)
Introduction to Python (Tuesdays at 18:00, 10-31 October, 2017)
Data Visualization with Tableau (Wednesdays at 18:00, 11 October - 1 November, 2017)
Introduction to R Programming (Wednesdays at 18:00, 1-22 November, 2017)
Mastering Excel Basics (Thursdays at 18:30, 2-30 November, 2017)
SQL Fundamentals (Tuesdays at 18:00, 7-28 November, 2017)
Practical Workshop: Working with Loyalty Data (Tuesday, 28 November at 18:00)
Practical Workshop: Data Exploration in Qlik Sense (Wednesday, 29 November at 17:00)