Welcome to the efl Data Science Courses

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 in this winter semester 2024/25 will start with an introductory course in Python (6 December and 13 December 2024) and continue with an introductory course in Data Science (20 December 2024). 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 25. The registration deadline is 15 November 2024. The course is free of charge for students enrolled at a German university. In case you are not a student, you are required to pay a tuition fee of €60 for each course you are registering for.
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.
Please find the registration form here.
Lecturers
Teaching
Day 1 (Python Course) (06.12.2024)
9:00 - 10:30 Uhr
Python Basics
Introduction and Primitive Data Types
10:40 - 12:10 Uhr
Data Structures
Tuples, Lists, Sets, Dictionaries
13:30 - 15:00 Uhr
Control Structures
Loops, Conditional Statements
15:15 - 16:45 Uhr
Structure of Functions and Application
Functions in Python
Day 2 (Python Course) (13.12.2024)
9:00 - 10:30 Uhr
LIbraries in Python
Os, numpy, re, csv
10:40 - 12:10 Uhr
Data Wrangling Libraries in Python
Pandas, dataframes
13:30 - 15:00 Uhr
Data Visualization
Matplotlib, seaborn
15:15 - 16:45 Uhr
Data Analysis with Python
Merging data, explanatory analysis
Day 3 (Data Science) (20.12.2024)
9:00 - 10:30 Uhr
Introduction to Data Science
Terminology and basic concepts
10:40 - 12:10 Uhr
Preprocessing
Normalization, train-test split
13:30 - 15:00 Uhr
Simple Model Application
Decision trees, random forests
15:15 - 16:45 Uhr
Deep Learning
Neural Networks, keras
Sponsors




