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Machine Learning Workshop

Hans-on Data Analysis With Python

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Data Science and Machine Learning are no exception: the gray theory cannot replace practical experience. Data handling and analysis can best be learned in your application. By making mistakes and retrospectively deriving insights from them, the wealth of experience and knowledge is consolidated. In this course, participants will cover all aspects of data analysis and building machine learning models using a case study. Starting from data taking, data processing and cleaning, simple statistical models, hypotheses and finally training and validation of Machine Learning algorithms, the course covers all aspects of a Data Scientist's work.

Course Contents

  • Review
  • Working interactively with Jupyter notebooks
  • Python (basics & libraries: numpy, pandas, matplotlib, scikit-learn)
  • Machine Learning
  • Presentation of the case study
  • Description of the problem
  • Joint brainstorming on the approach
  • Presentation of a minimal prototype
  • Group work of the participants
  • Regular Q&A rounds
  • Individual assistance
  • Presentation of the results

Print E-Book PDF Symbol You will receive the comprehensive documentation package of the ExperTeach Networking series – printed documentation, e-book, and personalized PDF! As online participant, you will receive the e-book and the personalized PDF.

Target Group

The course is aimed at users who want to practice working with real data and implementing machine learning solutions based on a case study.

Knowledge Prerequisites

 Basic knowledge of the Python programming language is required. This can be acquired, for example, in the courses Python for Beginners - Introduction to Programming or Python for Programmers - Basics for Quick Transition.

Participants should also have gained initial experience with both data analysis and machine learning. These can be acquired, for example, by attending the training courses Python for Data Science - Data Analysis and Insight Machine Learning and Machine Learning - Data Science and Artificial Intelligence.

Classroom training

Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!

Hybrid training

Hybrid training means that online participants can additionally attend a classroom course. The dynamics of a real seminar are maintained, and the online participants are able to benefit from that. Online participants of a hybrid course use a collaboration platform, such as WebEx Training Center or Saba Meeting. To do this, a PC with browser and Internet access is required, as well as a headset and ideally a Web cam. In the seminar room, we use specially developed and customized audio- and video-technologies. This makes sure that the communication between all persons involved works in a convenient and fault-free way.

Online training

You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.

Tailor-made courses

You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request for customized courses
PDF SymbolYou can find the complete description of this course with dates and prices ready for download at as PDF.

Data Science and Machine Learning are no exception: the gray theory cannot replace practical experience. Data handling and analysis can best be learned in your application. By making mistakes and retrospectively deriving insights from them, the wealth of experience and knowledge is consolidated. In this course, participants will cover all aspects of data analysis and building machine learning models using a case study. Starting from data taking, data processing and cleaning, simple statistical models, hypotheses and finally training and validation of Machine Learning algorithms, the course covers all aspects of a Data Scientist's work.

Course Contents

  • Review
  • Working interactively with Jupyter notebooks
  • Python (basics & libraries: numpy, pandas, matplotlib, scikit-learn)
  • Machine Learning
  • Presentation of the case study
  • Description of the problem
  • Joint brainstorming on the approach
  • Presentation of a minimal prototype
  • Group work of the participants
  • Regular Q&A rounds
  • Individual assistance
  • Presentation of the results

Print E-Book PDF Symbol You will receive the comprehensive documentation package of the ExperTeach Networking series – printed documentation, e-book, and personalized PDF! As online participant, you will receive the e-book and the personalized PDF.

Target Group

The course is aimed at users who want to practice working with real data and implementing machine learning solutions based on a case study.

Knowledge Prerequisites

 Basic knowledge of the Python programming language is required. This can be acquired, for example, in the courses Python for Beginners - Introduction to Programming or Python for Programmers - Basics for Quick Transition.

Participants should also have gained initial experience with both data analysis and machine learning. These can be acquired, for example, by attending the training courses Python for Data Science - Data Analysis and Insight Machine Learning and Machine Learning - Data Science and Artificial Intelligence.

Classroom training

Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!

Hybrid training

Hybrid training means that online participants can additionally attend a classroom course. The dynamics of a real seminar are maintained, and the online participants are able to benefit from that. Online participants of a hybrid course use a collaboration platform, such as WebEx Training Center or Saba Meeting. To do this, a PC with browser and Internet access is required, as well as a headset and ideally a Web cam. In the seminar room, we use specially developed and customized audio- and video-technologies. This makes sure that the communication between all persons involved works in a convenient and fault-free way.

Online training

You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.

Tailor-made courses

You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request for customized courses

PDF SymbolYou can find the complete description of this course with dates and prices ready for download at as PDF.