DHL Data Science Seminare GmbH

Schulungszentrum mit Seminaren Live-Online und in ganz Deutschland

DHL Data Science Seminare GmbH
TOP SERVICE PROVIDER 2023
TOP RECOMMENDATION 2023
4.64 out of 5
Excellent
416 Reviews
Authenticity of reviews
Contact information
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...
View full description

Contact information

DHL Data Science Seminare GmbH
Im Zollhafen 24
50678 Köln
Germany
Directions

Contact person
Dr. Haug Leuschner

Images & Videos

Opening hours

Websites

99% Recommended
5 stars 299
4 stars 113
2 stars 0
1 star 0
Quality
Value
Services
Performance
Methods
External conditions
Excellent (4.61)
Cost/Benefit
Excellent (4.60)
Top competencies

Expertise

4.90 out of 5
193 Reviews

Professionalism

4.89 out of 5
191 Reviews

Knowledge transfer

4.82 out of 5
192 Reviews

416 Reviews on ProvenExpert.com

4.64 out of 5
Excellent
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.
Show original
Customer review & rating for:
Einführung in SAS Studio (4. Quartal 2023)
10/09/2023Ruth 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!
Show original
Customer review & rating for:
Deep Learning mit Python (KW 40 - 2023, Online-Seminar)
10/06/2023Harald 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.
Show original
Customer review & rating for:
Multivariate Datenanalyse mit Python (24.07. - 28.07.2023, Online-Seminar)
08/03/2023Elisabeth 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.
Show original
Customer review & rating for:
Multivariate Datenanalyse mit Python (24.07. - 28.07.2023, Online-Seminar)
08/02/2023Anonymously
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.
Show original
Customer review & rating for:
Multivariate Datenanalyse mit Python (24.07. - 28.07.2023, Online-Seminar)
07/31/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
5.00 out of 5
Excellent
Recommendation
Very enriching!
Show original
Customer review & rating for:
Grundlagen der Statistik mit SPSS (10.07. - 14.07.2023, Online-Seminar)
07/18/2023Linda 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.).
Show original
Customer review & rating for:
Grundlagen der Statistik mit SPSS (10.07. - 14.07.2023, Online-Seminar)
07/17/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.95 out of 5
Excellent
Recommendation
Clear seminar structure, very comprehensible explanations; very good documentation
Show original
Customer review & rating for:
Grundlagen der Statistik mit SPSS (10.07. - 14.07.2023, Online-Seminar)
07/17/2023Anonymously
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!
Show original
Customer review & rating for:
Grundlagen der Statistik mit R (26.06. - 30.06.2023)
07/12/2023Anonymously
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.
Show original
Customer review & rating for:
Qualitätsmanagement mit Minitab (03.07. - 06.07.2023, Online-Seminar)
07/10/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.60 out of 5
Excellent
Recommendation
Good balance between theoretical basics and practical exercises.
Show original
Customer review & rating for:
Grundlagen der Statistik mit Python (15.05. - 16.05.2023, Online-Seminar)
06/28/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.16 out of 5
Good
Recommendation
The content was very well structured and prepared and was also explained in detail.
Show original
Customer review & rating for:
Regressionsanalyse mit Python (06.06. - 07.06.2023, Online-Seminar)
06/26/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
4.98 out of 5
Excellent
Recommendation
Dr. Christoph Oestreicher shines through his expert knowledge paired with his open and didactically valuable manner. He responds in an uncomplicated manner to the learning speed and subject depth wishes of the participants, prudently takes everyone along and always inquires without pressure about "coming along". A great combination of theory and practice guarantees the best possible learning success. His basic positive ambition jumps over to all participants and creates an extremely pleasant learning atmosphere in which there is nevertheless never a lack of depth, complexity and "being challenged".
Dr. Christoph Oestreicher is an "all-around top" expert with whom I would take further training again at any time.
Show original
Customer review & rating for:
Data Science Crash Course mit Python (KW 25 - 2023, Online-Seminar)
06/23/2023Anonymously
Reviewed lecturer: Dr. Christoph Oestreicher
5.00 out of 5
Excellent
Recommendation
I have, with Christoph's help, achieved all my goals in this seminar.
The seminar was very well structured and the level of complexity was adapted to the participants. We worked with real live input data from the beginning. So you have seen in real how the theory works and where are the limits.

Super seminar, I can only gladly recommend.
Show original
Customer review & rating for:
Data Science Crash Course mit Python (KW 25 - 2023, Online-Seminar)
06/23/2023Cosmin
Reviewed lecturer: Dr. Christoph Oestreicher
5.00 out of 5
Excellent
Recommendation
Top explained and an answer to every question.
Show original
Customer review & rating for:
Data Science Crash Course mit Python (KW 25 - 2023, Online-Seminar)
06/20/2023Maik Löhn
Reviewed lecturer: Dr. Christoph Oestreicher
4.81 out of 5
Excellent
Recommendation
A very competent referent, excitingly introduces the world of statistics, skillfully reveals the possibilities of Minitab, communicates professionally with the audience. This was confirmed by the high activity of the seminar participants. In my personal opinion and according to my level of training, such a big topic should be taught for at least 2 weeks. Special request: I would like to receive several examples of the application of statistical methods for the analysis of biological data, how to analyze a kinetic study, examples of non-parametric analysis in biology, methods of normalization of non-parametric data, methods of analysis of long-term monitoring data (what is the importance of sample size, type of data distribution) ; as well as how to minimize the size of the statistical sample in the case of expensive studies, so that the analysis remains correct.
Customer review & rating for:
Qualitätsmanagement mit Minitab (30.05. - 02.06.2023, Präsenz-Seminar)
06/14/2023Anonymously
Reviewed lecturer: Dr. Haug Leuschner
5.00 out of 5
Excellent
Recommendation
Very good mixture of theory and practice. Absolute plus: Mr. Oestreicher knows the presented procedures from a lot of own practical experience.
Show original
Customer review & rating for:
Data Science Crash Course mit R (KW 17 - 2023, Präsenz- & Online-Seminar)
05/04/2023Burghard Grüter
Reviewed lecturer: Dr. Christoph Oestreicher
4.94 out of 5
Excellent
Recommendation
The "Data Science Crash Course Seminar" dealt with a very interesting and complex subject area comprehensively with amazing depth in a relatively short time. Dr. Oestreicher succeeded in creating a very pleasant atmosphere in the virtual training room with his friendly and open manner. From the heterogeneous group of participants, questions at all levels of maturity and experience were answered in a detailed and understandable manner. He was always very eager not to "lose anyone" or "lose". The extremely successful mix of theory and extensive practical exercises conveyed the basic content up to the ML "Internals" in a very understandable way. In addition, own use cases could be brought in and treated. With the detailed and commented notebooks at the end, a further deepening in self-study is very easy. Very exciting and recommendable seminar - many thanks to Dr. Oestreicher!
Show original
Customer review & rating for:
Data Science Crash Course mit Python (KW 12 - 2023, Online-Seminar)
03/24/2023Harald Sindel
Reviewed lecturer: Dr. Christoph Oestreicher
5.00 out of 5
Excellent
Recommendation
For me, the best training I've been able to attend so far. I learned a lot and had a lot of fun. What I learned will help me a lot in setting up my new project.
I would recommend the training with Dr. Christoph Oestreicher at any time and would also attend further training courses with him....
Show original
Customer review & rating for:
Data Science Crash Course mit Python (KW 12 - 2023, Online-Seminar)
03/24/2023Timo
Reviewed lecturer: Dr. Christoph Oestreicher
5.00 out of 5
Excellent
Recommendation
Patient, friendly lecturer. Hands-on teaching style. Highly flexible and worked on participant's data set on the fly.
Customer review & rating for:
Data Science Crash Course mit Python (KW 12 - 2023, Online-Seminar)
03/24/2023Anonymously
Reviewed lecturer: Dr. Christoph Oestreicher

3 Lecturers on ProvenExpert.com

344 Reviews
4.63 out of 5
Dr. Haug Leuschner
58 Reviews
4.77 out of 5
Dr. Christoph Oestreicher
14 Reviews
4.39 out of 5
Dr. Dr. Daniel Leufkens
Get in touch

Your message to DHL Data Science Seminare GmbH

Please complete the field highlighted in red.
Please complete the field highlighted in red.
Invalid email address
* required fields
Invalid characters. Only numbers and space characters are possible.
Send message

I accept the privacy policy.

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 04/06/2020  |  Last update: 08/15/2023   |  Report profile

More transparency and security while looking for competent professionals

Authentic customer opinions
Take advantage of other customers' experiences: ProvenExpert's authenticated customer reviews can help you choose the right product or service.
Effective customer feedback
ProvenExpert allows the entire service spectrum of a company (e.g. customer service, consulting) to be reviewed. This way you get a detailed overview of your service quality in all areas.
Independent reviews
ProvenExpert is free, independent, and neutral. Customers make reviews of their own accord — their opinions are not for sale. And the content of reviews cannot be influenced by money or by any other means.

A good reputation is the world's
best form of advertising!

85% of all consumers trust online reviews just as much as they do personal recommendations.

Let ProvenExpert give your business a boost with the best advertising in the world: the opinions of satisfied customers.
Join now for free!
Review Guidelines  |  Quality Assurance  |  Privacy Policy  |  Legal Notice  © 2011 - 2023 Expert Systems GmbH