Essential Data Science Training

Data Science Trainings

Essential Data Science Training
50 Reviews i
published (60%)
out of 83 reviews
Contact information
We offer open trainings and individual company courses in the area of Data Science, Machine Learning and Statistics. The target group of our courses are users from any discipline who on the one hand want to better understand methods from the...

Contact information

Essential Data Science Training
Schellingstr. 109A
80798 München
Germany
Directions

Contact person
Giuseppe Casalicchio

Websites & Profiles

Review from 26/05/2020  
5.00 out of 5
Excellent
Recommendation
Quality
Value
Services
Performance
Methods
Top competencies

Professional demeanour

4.86 out of 5
22 Reviews

Structure

4.74 out of 5
23 Reviews

Counselling

4.82 out of 5
22 Reviews

50 Reviews on ProvenExpert.com

5.00 out of 5
Excellent
Recommendation
very professional with extremely competent lecturers
Show original
Customer review & rating for:
Statistische Modellierung und Inferenz in R
26/05/2020C.
5.00 out of 5
Excellent
Recommendation
Despite the Corona situation and the switch from a face-to-face seminar to an online event, I found that the implementation worked without complications and I am quite satisfied.
Show original
Customer review & rating for:
Statistische Modellierung und Inferenz in R
15/05/2020Anonymously
4.70 out of 5
Excellent
Recommendation
Very great course.
A little less theory but a little more practice or interaction would have been even nicer.
Show original
Customer review & rating for:
Statistische Modellierung und Inferenz in R
15/05/2020Anonymously
5.00 out of 5
Excellent
Recommendation
Very good course material, motivated instructors, realistic practice examples.
Show original
Customer review & rating for:
Statistische Modellierung und Inferenz in R
14/05/2020Dr. Kristina W.
4.80 out of 5
Excellent
Recommendation
Very well prepared material. Very well presented. You can tell that the presenters are very knowledgeable about Machine Learning.
Show original
Customer review & rating for:
Machine Learning in R
13/12/2019Manuel L.
4.80 out of 5
Excellent
Recommendation
I was very pleasantly surprised at how much you could do in R after the day's crash course. This abstract program doesn't seem so abstract anymore. I found it super!
Show original
Customer review & rating for:
R Crashkurs
06/12/2019Katharina E.
4.96 out of 5
Excellent
Recommendation
The course was very well structured and had the right mix of theoretical basics and practical application. Due to the appropriate scope and pace, it is also well suited for NLP novices. We now have the prerequisites to convert our existing models to Python or test new models on our data. The course has also whetted our appetite to further explore the newer developments in NLP.
Show original
Customer review & rating for:
NLP in Python
22/11/2019Jessica K.
5.00 out of 5
Excellent
Recommendation
The NLP in Python course gave the perfect overview within 2 days and included a deepening into the topic where necessary. Big compliments to Matthias for this!
Show original
Customer review & rating for:
NLP in Python
22/11/2019Michele K.
5.00 out of 5
Excellent
Recommendation
The crash course was great structured and gave a perfect introduction to Python!
Show original
Customer review & rating for:
Python Crashkurs
22/11/2019Michele K.
5.00 out of 5
Excellent
Recommendation
Max and Daniel were very competent and likeable teachers and conveyed the material very well. You could tell that they knew their stuff and enjoyed imparting their knowledge. I have benefited greatly and would recommend the course at any time. Nevertheless, a note: - It went on the 2nd day a little much time for the mediation of basic statistical knowledge drauf. Now this is not a basic statistics course, but an R course. For me it was about being able to implement statistical methods technically with R. (And that is what we learned. (And that's what we learned). Whether I then use these statistical methods "correctly": That is important, but not the subject of this course. I would therefore have preferred that the available time be spent on R, not on repetition of scale levels, averages, etc.
Show original
Customer review & rating for:
R Basiskurs
17/10/2019Moritz M.
5.00 out of 5
Excellent
Recommendation
I was particularly pleased with the alternation between theory (slides) and exercises with the program itself.
Show original
Customer review & rating for:
R Basiskurs
16/10/2019Eva R.
4.04 out of 5
Good
Recommendation
I was not in the Machine Learning course, but in the R Basic course. It says Machine Learning in the title here! One request: The level of prior experience in the course was very different - while no one has really worked with R yet, some people had prior experience in other programming languages and others were very familiar with statistical methods. For me it was both, accordingly it was sometimes even rather too slow. Perhaps one could query this beforehand.
Show original
Customer review & rating for:
R Basiskurs
16/10/2019Anonymously
5.00 out of 5
Excellent
Recommendation
Some more time for exercises would be great!
Customer review & rating for:
R Basiskurs
15/10/2019Anonymously
4.86 out of 5
Excellent
Recommendation
Very much new material in quite a short time. Very comprehensive. Good: the exam to deal with the material intensively.

On the first day, at the beginning, it might have been helpful to introduce the topic of machine learning / statistics in general and then say: And the methods used in unsupervised learning, we present on day X, supervised learning methods on day Y, the theoretical basics on day Z. I was then also able to understand this while learning, but I always find it good to know how individual courses are related.
Show original
Customer review & rating for:
Data Science Inhouse-Course, 10 Days
11/10/2019Anonymously
4.73 out of 5
Excellent
Recommendation
The materials were very well prepared and the trainers were very competent. Sufficient questions were answered. In view of the given time frame, the amount of material is quite challenging and I would have liked more time for practical exercises analogous to the last project day.
Show original
Customer review & rating for:
Data Science Inhouse-Course, 10 Days
08/10/2019Anonymously
4.31 out of 5
Good
Recommendation
I would actually allow more time for implementation based on examples, group work is appropriate here. In my view, you would need at least 1-2 days more for this. Best also with a trainer per group, so that one does not "get lost" too long at individual points.
Otherwise VERY, VERY good!
Show original
Customer review & rating for:
Data Science Inhouse-Course, 10 Days
04/10/2019Mr. Alexander F.
4.60 out of 5
Excellent
Recommendation
Many thanks to all! Especially Fabian has explained super, fast enough, slow enough. Thank you!
Show original
Customer review & rating for:
Data Science Inhouse-Course, 10 Days
02/10/2019Anonymously
4.40 out of 5
Good
Recommendation
There is little to improve, just a few suggestions:
- Print all documents in the same type (the mix of spiral and no binding is unfortunate, either or.
- Overall, an emphasized placement of the content in the overall context would still be important. The oral exam is appropriately structured and Data Import to visualization and weighing of methods. The statistical basics are too formula-dominated, rather more overall context.

Overall the amount of material is borderline high, especially for the exam without any real preparation time. Thanks to all lecturers, all of them sympathetic, method- and explanation-sure!
Show original
Customer review & rating for:
Data Science Inhouse-Course, 10 Days
01/10/2019S.
4.74 out of 5
Excellent
Recommendation
I would clearly recommend Essential Data Science Training. Overall, I would probably expand the practical part (i.e. "try it out yourself") a bit more.
Show original
Customer review & rating for:
Data Science Inhouse-Course, 10 Days
01/10/2019Mr. Sebastian H.
4.64 out of 5
Excellent
Recommendation
The training was really very good.

For me personally, a stronger integration of exercises would make sense. (Similar to a lecture at the university, the knowledge often only really sets in the exercise, so this should also be the case here).
-> More "hands-on" exercises in R would be an improvement for me personally. But overall very satisfied. Thank you!
Show original
Customer review & rating for:
Data Science Inhouse-Course, 10 Days
01/10/2019Anonymously
Request a callback Write a message
Submit a review
Tell a friend

Your message to Essential Data Science Training

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.

I accept the privacy policy.

* All reviews and experiences about Essential Data Science Training 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 20/09/2019  |  Last update: 10/06/2020   |  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, ad-free, 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.
Review Guidelines  |  Quality Assurance  |  Privacy Policy  |  Legal Notice  © 2011 - 2022 Expert Systems GmbH