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Overview
The Introduction to Python Programming (Term 2 - Online) course at TU Berlin is mainly comprised of two parts: python programming and advanced python modules. For the first part, you will learn about basic python programming grammar and syntax including data types, control structures, file operations, structured programming, basic debugging, etc.
You will gradually be effective to use Python codes to solve certain tasks based on a lot of practice and gain knowledge of simple algorithms. In the second part, you will learn some of the most common and popular python modules in data collection, processing, analysis, and visualization.
Learning goals
- Get familiar with Python programming language, be able to write Python codes to achieve functions
- Know how to modularize your code with function, class and module, be able to write simple script for different tasks
- Learn to find, install, use and improve a third-party Python package written by others
- Know the basic usage of commonly used Python tools for data analysis and visualization
- Know how to use basic crawling techniques to get data from the Internet
- Be able to do simple data analysis tasks and show the result
Programme Structure
Main course components:
Main topics:
- basic grammar and syntax of Python programming
- structured programming
- Python modules/packages
Learning formats:
- live lectures
- independent assignments
- webinars: assignments discussion & project discussion/tutoring
- independent project
Audience
This course is designed for current university students, working professionals, and interested individuals.
Participants from all fields and disciplines are welcome, however, students who do not come from the fields of computer science, mathematics, or engineering (or other STEM-related fields) should be aware that the course is designed with these fields in mind.
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
TOEFL® IBT 87
Credits
6 ECTS
Delivered
Online
- Fully structured
- Regular mandatory meetings
- Proactive tutoring and support
- Online group works/assignments
Disciplines
Computer Sciences Data Science & Big Data Software Engineering View 17 other Short Courses in Computer Sciences in GermanyWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
TOEFL® IBT 87
Other requirements
General requirements
- This course is designed for current university students, working professionals and any individuals with an interest in gaining skills in how to program in python.
- Participants from all fields and disciplines are welcome, however, students who do not come from the fields of computer science, mathematics, or engineering (and other STEM-related fields) should be aware that the course is designed with these fields in mind, and that they may need some extra effort in some of the exercises.
Tuition Fee
To always see correct tuition fees
-
International
1080 EUR/fullTuition FeeBased on the tuition of 1080 EUR for the full programme during 1 months. -
EU/EEA
1080 EUR/fullTuition FeeBased on the tuition of 1080 EUR for the full programme during 1 months.
Working professional/Non-student: 1610 Euro
Funding
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