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Overview
The students will learn how to apply analytical techniques and scientific principles to extract valuable information from business data for decision-making, strategic planning.
This Introduction to Business Data Science with Python course at TU Berlin covers practical contents of statistics, machine learning, information visualization, and data analysis techniques through python programming language and other tools.
Learning Goals
- Understanding statistical association and the difference between causation and correlation
- Understanding and developing the skills to apply descriptive techniques and Statistical inference in the real business cases, social and marketing studies
- Structural Equation Modeling SEM, Confirmatory Factor analysis CFA , Path analysis
- Time-series Analysis
- Advanced visualization techniques as an initial step to solve data analysis problems, including Geo-based visualization and Network visualization
- Machine Learning (ML) process, supervised vs unsupervised, validation approaches, over/ under fitting
- Introduction to basic Clustering approaches
- Introduction to basic Classification approaches
- Introduction to Social Network concept and its principles and applications
Programme Structure
Main course components:- Python
- Descriptive techniques
- Review the principles of descriptive techniques
- Causality vs. Correlations
- Causal loop diagrams and Confounding effects
- Linear Regression
- Statistical inference and their applications in the business context, social science and marketing
Lecturers
Dr. Hamid Mostofi
Key information
Duration
- Full-time
- 1 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
TOEFL® IBT 87
IELTS 5
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- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
6 ECTS
Delivered
On Campus
Campus Location
- Berlin, Germany
Disciplines
Business Information Systems Data Science & Big Data Software Engineering View 11 other Short Courses in Data Science & Big Data 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
IELTS 5
Prepare for Your English Test
Cathoven AI IELTS Preparation AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.
- Fundamentals of mathematics and statistics in Bachelor programs should be known.
Student Insurance via Studyportals Partner
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Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents2150 EUR / full≈ 2150 EUR / full -
EU/EEA Applies to you
Applies to youEU/EEA Nationals2150 EUR / full≈ 2150 EUR / full
Additional Details
- Working professional/Non-student: 2570 Euro
Living costs
Berlin
Germany
836 - 1340 EUR / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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