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 2023/24 will start with an introductory course in Python (30 October and 1 November 2023) and an introductory course in Data Science (3 November 2023). 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 25 October 2023. 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 register via E-Mail: dscourses(at)eflab.de
Subject: Anmeldung EFL Kurse
Required details for the registration:
- Full name and address
- Type of employment (student or professional)
- Why you are interested in the selected courses (max. 100 words)
Lecturers
Teaching
Day 1 (Python Course) (30.10.2023)
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) (01.11.2023)
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) (03.11.2023)
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