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Introduction to Data Science

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General Information

Description: Understand the fundamentals of data science, machine learning, and data analysis.

MC Host ID: 2a1c5f88-9a6d-47f3-877d-9a1d29f354b4

Status: Active

Host Universities: DHBW

Homepage: https://example.com/data-science

Location: Online

Default Language: ENG

Developer: DHBW

Additional Info: Basic programming knowledge is recommended for better understanding.

Educational Information

Course Type: Micro-Credential

Learner Profile: Lifelong Learners

Prerequisite(s): Basic knowledge of programming or statistics is helpful.

Topic: Data Processing

Grand Challenge: GC3: Healthy Living

Learning Outcome: Be able to analyze data sets using Python and R.

ECTS Credits: 6

EQF level: 5

Learning Activity Description: Interactive labs and assignments focusing on data cleaning, visualization, and basic machine learning.

Education level: N/A

Assessment Info

Mode: Online

Type: level of attendance

Description: Hands-on assessment using simulated cyber attack scenarios.

Enrollment info

Enrollment Deadline: 2025-04-15

Enrollment Information: Applicants must submit a CV and motivation letter.

Price

Tuition Fee: €150

Schedule & Delivery

Start Date: 2024-04-01

End Date: 2024-08-30

Maximum Duration: 6 months

Contact Hours: 40

MC mode [Mode of teaching]: Simulation Game

MC Type [Type of teaching]: Workshop

Time Schedule: Classes are held on weekdays between 10:00 and 16:00 CET.

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