Teaching

Data Science Courses

Welcome to the efl Data Science Courses

People working together and celebrating achievement

Starting in the coming winter semester 2019/2020 we, the efl - the Data Science Institute, offer introductory courses in Data Science for students of the Goethe University Frankfurt to train students in the basics of data analysis. For successful participation in the offered courses, course participants receive a certificate instead of ECTS points, which is issued by efl. The learning content is checked by means of a short test at the end of each course day.

The course program will start with an introductory course in Python (7. and 9.10.2019) and an introductory course in Data Science (11.10.2019). The participation in the Data Science course does not require the prior attendance of the introductory course in Python, as long as sufficient basic knowledge of Python is available. The registration is made online via a registration form, whereby the number of participants for each of the two courses is limited to 30. The registration deadline is 31 August 2019.

In addition to teaching theoretical concepts of Python and Data Science, the courses focus on practical application and implementation in so-called coding sessions, in which data from the economic context serve as a basis.

Lecturers

Research Assistant
Nicolas Pfeuffer studied Business Informatics at the Goethe-Universität Frankfurt (M.Sc.). During his master’s program,…
Research Assistant
Timo Schäfer uses methods from textual analysis to analyze corporate disclosure and communication. Besides his research,…
Research Assistant
Since March 2018, Benjamin M. Abdel-Karim is a research assistant of Prof. Dr. Oliver Hinz at the Chair of Information…
Research Assistant
Jens Lausen is a research assistant at the efl and part of the "Data Science for Financial Services" research group. In…

Teaching

Day 1 (Python Course) (07.10.2019)

9:00 - 10:30 Uhr
Python Basics
Introduction and Primitive Data Types

10:40 - 12:10 Uhr
Data Structures
Lists, Sets, Dictionaries

13:30 - 15:00 Uhr
Control Structures
Loops (for, while), case distinction (if, else)

15:15 - 16:45 Uhr
Functions
Structure of Functions and Application

Day 2 (Python Course) (08.10.2019)

9:00 - 10:30 Uhr
Helpful functions for data processing
Libraries: os, re, csv

10:40 - 12:10 Uhr
Data types and data structures
Libraries: numpy, pandas

13:30 - 15:00 Uhr
Data import and visualization
Libraries: csv (cont'd), matplotlib

15:15 - 16:45 Uhr
Outlook: Data Science
Exemplary implementation of a KDD process

Day 3 (Data Science) (11.10.2019)

9:00 - 10:30 Uhr
Introduction to Data Science
Terminology and basic concepts

10:40 - 12:10 Uhr
Working with Data
Preprocessing, explorative data analysis

13:30 - 15:00 Uhr
Data Analysis I
Classification

15:15 - 16:45 Uhr
Data Analysis II
Neural Networks

Sponsors

The following sponsors support efl - the Data Science Institute Frankfurt