DHL Data Science Seminare GmbH

Schulungszentrum mit Seminaren Live-Online und in ganz Deutschland

DHL Data Science Seminare GmbH
TOP SERVICE PROVIDER 2024
TOP RECOMMENDATION 2024
4.65 out of 5
Excellent
427 Reviews
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Bei der DHL Data Science Seminare GmbH erhalten Sie Expertenunterricht von erfahrenen Dozenten und Praktikern mit langjährigen Erfahrungen in den verschiedensten Branchen. Unsere Kurse werden von einem Team erfahrener Experten entwickelt, die ihre...
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DHL Data Science Seminare GmbH
Im Zollhafen 24
50678 Köln
Germany
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Contact person
Dr. Haug Leuschner

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100% Recommended
5 stars 312
4 stars 112
2 stars 0
1 star 0
Quality
Value
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Performance
Methods
External conditions
Excellent (4.60)
Cost/Benefit
Excellent (4.62)
Top competencies

Expertise

4.92 out of 5
195 Reviews

Professionalism

4.90 out of 5
195 Reviews

Knowledge transfer

4.84 out of 5
195 Reviews

427 Reviews on ProvenExpert.com

4.65 out of 5
Excellent
5.00 out of 5
Excellent
Recommendation
Super course. Professionally conducted, super condensed and therefore perfect for further training. Mr. Leuschner convinces with competence and knowledge, there is additional material and the documents are generally good and understandable.
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Customer review & rating for:
Einführung in die Programmierung mit R (21.02. - 23.02.2024, Online-Seminar)
27/02/2024Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.71 out of 5
Excellent
Recommendation
Nobody is left behind. If someone gets stuck, he asks and helps. An analysis of which basics I am still missing and how to close these gaps would be an interesting additional offer.
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Customer review & rating for:
Qualitätsmanagement mit Minitab (18. - 21.12.2023, Online-Seminar)
24/01/2024Günter Wermeester
Reviewed lecturer: Dr. Haug Leuschner
4.94 out of 5
Excellent
Recommendation
The seminar was held online. The technology ran smoothly.
The documents and the training exercise files are very comprehensive and well detailed for familiarization. The organization of the seminar met my wishes and I was satisfied overall."
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Customer review & rating for:
Regressions- und Zeitreihenanalyse mit R (18.09–20.09. &12.10.–13.10.2023, Online-Seminar)
23/01/2024Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.94 out of 5
Excellent
Recommendation
Dr. Leuschner is a very competent lecturer and adapts to the speed of the participants. The training helps very well to understand the program and the functions so that you can work independently afterwards.

The classroom training was the best decision, as the knowledge was conveyed very well and we were able to discuss individual topics and subject areas during the breaks, which Dr. Leuschner was always able to help with.
The classroom training is highly recommended and definitely helps you to progress.

During the lunch break, we went to lunch together, which was coordinated and very satisfying. There was also a very good exchange with Dr. Leuschner every day.
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Customer review & rating for:
Grundlagen der Statistik mit R (11.12. - 15.12.2023, Präsenzseminar)
15/01/2024Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.80 out of 5
Excellent
Recommendation
Very detailed explanation. Also addressed "special" cases and answered queries.
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Customer review & rating for:
Qualitätsmanagement mit Minitab (18. - 21.12.2023, Online-Seminar)
08/01/2024Carsten Schock
Reviewed lecturer: Dr. Haug Leuschner
4.68 out of 5
Excellent
Recommendation
Mr. Leuschner has a great deal of experience and expertise; he succeeds very well in conveying the very unwieldy and often daunting field of statistics in an informative and entertaining way. After the seminar, you will not only be able to use the Minitab program, but will also be able to question data and interpret it with statistical background knowledge.
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Customer review & rating for:
Qualitätsmanagement mit Minitab (18. - 21.12.2023, Online-Seminar)
22/12/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.40 out of 5
Good
Recommendation
The course was very well suited as a refresher course in statistics to get started in the field of data science. I really liked the practical use cases that were used for practice (e.g. quality control). I also liked the focus on interpreting the results, especially later on in the course.
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Customer review & rating for:
Grundlagen der Statistik mit Python (13.11. - 17.11.2023, Online-Seminar)
22/11/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.00 out of 5
Good
Recommendation
Clearly structured organization, illustrative examples;
Appropriate group size and enough time for questions and clarification.
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Customer review & rating for:
Grundlagen der Statistik mit SPSS (06.11. - 10.11.2023, Hybrid-Seminar)
21/11/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.71 out of 5
Excellent
Recommendation
Good documents, good structure, appropriate short repetition of the theoretical basics, possibility to directly understand what has been learned on one's own device, overall practical relevance
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Customer review & rating for:
Grundlagen der Statistik mit SPSS (06.11. - 10.11.2023, Hybrid-Seminar)
13/11/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
5.00 out of 5
Excellent
Recommendation
Despite a rather heterogeneous group of participants, thanks to the selected topics, everyone was able to benefit greatly from the SAS seminar in their respective SAS application area.
It was particularly helpful that Dr. Leufkens, due to his knowledge of R programming, was able to give hints on the different procedures as a SAS or R programmer.
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Customer review & rating for:
Einführung in SAS Studio (4. Quartal 2023)
09/10/2023Ruth Bösel
Reviewed lecturer: Dr. Dr. Daniel Leufkens
4.94 out of 5
Excellent
Recommendation
Very good seminar on this exciting topic with the right mix of theory and practice. Dr. Oestreicher provides an overview of the world of Deep Learning in the short time available. Starting with simpler neural networks, one builds up more and more complex NN architectures in the course of the course, up to CNNs, LSTMs and transformers. The extensive exercises in Python with different approaches and libraries illustrate the sometimes complex interrelationships and provide a deeper insight into the functionality as well as the challenges in design and development. Dr. Oestreicher deals with all questions and comprehension problems extremely patiently and in detail and also provides immediate support in case of errors in the coding, if required. Great three days in a very pleasant atmosphere. Highly recommended -- many thanks to Dr. Christoph Oestreicher!
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Customer review & rating for:
Deep Learning mit Python (KW 40 - 2023, Online-Seminar)
06/10/2023Harald Sindel
Reviewed lecturer: Dr. Christoph Oestreicher
4.80 out of 5
Excellent
Recommendation
The preparation of the slides is very good and all examples are comprehensible and realistic.
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Customer review & rating for:
Multivariate Datenanalyse mit Python (24.07. - 28.07.2023, Online-Seminar)
03/08/2023Elisabeth Ripper
Reviewed lecturer: Dr. Haug Leuschner
4.89 out of 5
Excellent
Recommendation
The extensive subject matter was taught clearly and efficiently in the time available.
The basics are covered using clear examples that can easily be transferred to one's own applications.
Helpful literature was mentioned for further deepening and the mathematical background.
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Customer review & rating for:
Multivariate Datenanalyse mit Python (24.07. - 28.07.2023, Online-Seminar)
02/08/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.41 out of 5
Good
Recommendation
I can only recommend Mr. Leuschner at this point.

We had 5 days of training that were very well structured from front to back and always consisted of a top mix of theory part and practical application with the corresponding Python libraries. This simplifies the transfer to your own application areas and makes you look forward to implementing what you have learned.

The information content in the 5 days of training is very high. Due to the very well compiled documentation for the training, however, a follow-up of the learned content is easily possible.
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Customer review & rating for:
Multivariate Datenanalyse mit Python (24.07. - 28.07.2023, Online-Seminar)
31/07/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
5.00 out of 5
Excellent
Recommendation
Very enriching!
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Customer review & rating for:
Grundlagen der Statistik mit SPSS (10.07. - 14.07.2023, Online-Seminar)
18/07/2023Linda Ensinger
Reviewed lecturer: Dr. Haug Leuschner
4.87 out of 5
Excellent
Recommendation
The pace was very good and getting started on the practical side (opening data, etc.).
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Customer review & rating for:
Grundlagen der Statistik mit SPSS (10.07. - 14.07.2023, Online-Seminar)
17/07/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.95 out of 5
Excellent
Recommendation
Clear seminar structure, very comprehensible explanations; very good documentation
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Customer review & rating for:
Grundlagen der Statistik mit SPSS (10.07. - 14.07.2023, Online-Seminar)
17/07/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.73 out of 5
Excellent
Recommendation
The course "Fundamentals of Statistics" was very intensive, well structured and could really convey the basics very well. As a "newcomer" in R, I was able to quickly get into the topic, because Dr. Leuschner conveys the content in detail and understandably. The course helped me to get started so that I can now do smaller analyses on my own. Thumbs up!
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Customer review & rating for:
Grundlagen der Statistik mit R (26.06. - 30.06.2023)
12/07/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
3.95 out of 5
Good
Recommendation
Dr. Haug Leuschner conscientiously manages to impart a great deal of knowledge in a short time. Despite the complexity of the topic, he is easy to follow and answers questions precisely.
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Customer review & rating for:
Qualitätsmanagement mit Minitab (03.07. - 06.07.2023, Online-Seminar)
10/07/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.60 out of 5
Excellent
Recommendation
Good balance between theoretical basics and practical exercises.
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Customer review & rating for:
Grundlagen der Statistik mit Python (15.05. - 16.05.2023, Online-Seminar)
28/06/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner

3 Lecturers on ProvenExpert.com

358 Reviews
4.64 out of 5
Dr. Haug Leuschner
59 Reviews
4.77 out of 5
Dr. Christoph Oestreicher
10 Reviews
4.59 out of 5
Dr. Dr. Daniel Leufkens
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All reviews and experiences about DHL Data Science Seminare GmbH are the subjective opinions of those who compose and submit them  |  The profile owner is responsible for the contents of this page  |   Profile active since 06/04/2020  |  Last update: 15/08/2023   |  Report profile

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