3.9 Read 44 reviews
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 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:- Principles of 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
Credits
6 ECTS
Delivered
On Campus
Disciplines
Business Information Systems Data Science & Big Data Software EngineeringWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
TOEFL® IBT 87
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at TU Berlin and/or in Germany, please visit Student Insurance Portal.
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.
Tuition Fee
To always see correct tuition fees
-
International
2150 EUR/fullTuition FeeBased on the tuition of 2150 EUR for the full programme during 1 months. -
EU/EEA
2150 EUR/fullTuition FeeBased on the tuition of 2150 EUR for the full programme during 1 months.
- Working professional/Non-student: 2570 Euro
Living costs for Berlin
836 - 1340 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Improve page content