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Smart Data Science: Your entry into professional data analysis
Course
1

Booking no:

30298

Smart Data Science: Your entry into professional data analysis

The complete path from basic knowledge to the first professional data project in a classroom course - with all the basics of big data, machine learning and data analysis with the CRISP-DM process.

2 days presence
6 dates
available at 6 different locations
German
Master Class with presence

Date preview

Start date
Last module
Availability
Location
19.6.2025
20.6.2025
Few places available
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Berlin
28.8.2025
29.8.2025
Few places available
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Frankfurt a. M./Oberursel
17.11.2025
18.11.2025
Places free
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Munich
16.12.2025
17.12.2025
Places free
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implementation
Cologne
26.2.2026
27.2.2026
Places free
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implementation
Hamburg
7.5.2026
8.5.2026
Places free
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implementation
Stuttgart
27.8.2026
28.8.2026
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implementation
Berlin

Module overview

The following module overview shows dates for the course start on
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Course overview

Contents

1. introduction to data science and machine learning

  • Basic terms and concepts of data science
  • Data-driven mindset as a success factor in the company.
  • Requirements for data-driven companies
  • Supervised and unsupervised machine learning
  • Methods in supervised and unsupervised learning
  • Important roles in data science projects
  • What infrastructure is needed for data science projects?

2. the CRISP-DM cycle as a standard in data analysis

  • Business Understanding: Goals, requirements, questions
  • Data Understanding: Data structure and data quality
  • Data preparation: cleaning, filtering and formatting data
  • Modeling: Developing and validating data models 
  • Evaluation: Reviewing models and aligning them with business objectives
  • Deployment: Putting models for data analysis into operation

3. all phases of the data project explained in detail

  • Exploratory data analysis and its forms of presentation
  • Position parameters and scattering parameters
  • Recognize linear and non-linear relationships
  • Assessing the relevance of data
  • Clean up and prepare data
  • Modeling: Classification, regression and clustering
  • Evaluate the model and put it into production

 

Learning environment

This training takes place on two days in presence. This guarantees a direct exchange with the trainers and other participants .

Once you have registered for the Data Science course, you will receive useful information, downloads and extra services for this qualification in your online learning environment.

Future Jobs Club: You get exclusive access to a business network, micro-learningssparks), news and future work hacks.