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Introduction to Business Data Science with Python

by: TU Berlin Summer and Winter University

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The Business Data Science with Python course contains learning materials, practices, and case studies to develop knowledge and skills in data science and its application in the real business and work world. Students will learn to apply analytical techniques and scientific principles to extract valuable information from business data for decision-making and strategic planning. This skills-based sp...

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Program Highlights

Understand statistical association and the difference between causation and correlation.

Develop the skills to apply descriptive techniques and statistical inference in real business cases and social and marketing studies.

Study Structural Equation Modeling SEM, Confirmatory Factor analysis CFA , and Path Analysis.

Use advanced visualization techniques as an initial step to solve data analysis problems, including geo-based visualization and network visualization.

Gain insight into Machine Learning (ML) process, supervised vs unsupervised, validation approaches, and over/underfitting.

Quick Details

Locations
  • Berlin, Germany
Availability
Year(s) Offered2025Terms Available:
  • Winter
Cost Per Week$300-600
Age Requirement:Varies
Types & Subjects:
  • Business
  • Computer Engineering
  • Computer Programming
  • Computer Science & IT
  • Economics
  • See more
Guidelines:
  • All Nationalities
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Program Details

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Locations

  • Berlin, Germany

Types and Subjects

  • Subjects & Courses
  • Business
  • Computer Engineering
  • Computer Programming

Availability

Years Offered: 2025

Terms Available:
  • Winter

Age Requirement

Age Requirement Varies

Guidelines

  • All Nationalities
  • This Program is also open to Solo, Group

Cost per week

$300-600

Program Cost Includes

  • Tuition & Fees
  • Public Transportation Pass
  • Cultural Training / Program / Orientation
  • Certificate of Completion

Accommodation Options

  • Other

Qualifications & Experience

Any/All Education Levels Accepted

Application Procedures

  • Online Application

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