DataWorkshop is something more than just a workshop
Practical online courses
Simple and pragmatic way to gain
practical skills in ML.
Time Series (now only in Polish)
✓ For those who already know the basics of machine learning and want to understand how to effectively forecast the time series.
✓ Learning through examples, without sophisticated mathematical details.
✓ Learn how to implement throughout solutions in 6 weeks.
Consultations for companies
More and more companies use machine learning in their daily practice. Do you want to be a step forward, but you do not know how to start? Do you need a professional brain storming about using ML?
Contact us
Dedicated trainings
We could organize all-day or two-day training for your company in the field of ML. Send your inquiry and we'll prepare the details individually.
Contact us
Mentoring
Do you want to start using machine learning in your business or start a science project and need support?
Contact us
Chcesz zorganizować szkolenie w swojej firmie bądź potrzebujesz konsultacji w zakresie ML?
Wyślij zapytanie.
E-mail
Imię
Telefon
Wiadomość
Wysyłając wiadomość, wyrażam zgodę na przetwarzanie moich danych w ramach projektu DataWorkshop. Powyższej zgody udzielam w stosunku do Biznes Myśli – Uladzimir Aliakseichanka, ul. Grodzka 42/1, 31-044 Kraków, NIP: 6751364881. W każdej chwili będziesz mógł wycofać zgodę.
DataWorkshop initiatives


DWCC 2019
STATE OF THE ART

Machine Learning conference
September 28, Warsaw
DATAWORKSHOP CLUB CONF

Special meeting for people interested in machine learning. No matter what level of experience you have, you can join us. The most important thing for us is your willingness to act in the area of machine learning.
You will meet here many experts, DataWorkshop graduates and ML enthusiasts or AI experts.

YES, YOU CAN!

FREE ONLINE ML CHALLENGE IN 5 DAYS

From zero to your first machine learning model.

More than 1500 participants in the 1st edition.
Who
Vladimir Alekseichenko
Creator & Mentor
I founded DataWorkshop in 2015

I started coding in 2006 and using machine learning in 2013.

I'm machine learning tutor and I have carried out around 25 workshops for around 1000 participants.

I run a podcast (PL) about AI.

I've given over 70 presentations.

I'm a perfectionist in my heart but pragmatic in my mind.

I'm father, dreamer and traveller - I've visited 28 countries so far.

I love helping others, analyzing data and facing all sorts of challenges.
What people think about DataWorkshop?
Software Engineering Leader w Nokia

The knowledge stays in your heads after the Practical machine learning course.

Attendees complete the course equipped with knowledge, materials and skills which allow them to start own projects.

The course includes many practical examples, ready to use scripts, theoretical explanations and links for further reading. I recommend this course to people who want to begin their adventure with machine learning and they're looking for a place to get practical skills.
Software Development Manager w IBM

Well prepared and valuable course - in my opinion this is super training to start with machine learning. I do recommend.
Senior Software Developer w Levi Strauss & Co.

The course organized by dataworkshop.eu is the best way to discover ML in practice and start building models on your own. If you are interested in ML, this course is the best way to start.
CTO w FocusNet

Remarkably vast and substantial course based on practical assignments.

Perfectly prepared environment and materials allow focusing on exploring the content. Furthermore, attendees create a very helpful community.

I recommend it to everyone, not only to coders.
Łukasz Murawski
Network Quality Sr Specialist at Polkomtel

I highly recommend DataWorkshop. It's been a great value to me. Vladimir has definitely the knowledge and experience in the field.

However, what makes this course special is in my opinion his approach to teaching:
Students first - speaking the language adjusted to the audience
Top-down approach - high level concept first, details afterwards
Clarity - Vladimir's ability to explain difficult topics in a simple words
Real life examples and analogies

Although I'm a telecom engineer and not a certified programmer, after DataWorkshop I've managed to successfully implement a few ML models at work.

I recommend this course for anyone, who wants to get to grips with ML and AI quickly.
Software Developer at ATSI

DataWorkshop with Vladimir is a series of successful meetups on data science domain.

Targeted for beginners and intermediate level scientists, who want to expand their horizons with brilliant cases shared by Vladimir.

Very friendly and informal atmosphere encourages audience to actively participate in workshops and even takeover leading the meeting with their stories (for a few minutes of course).

His broad and deep knowledge on AI and Machine Learning let him inspire the participants and teach them new tools and techniques.

It is hard to organize workshops well, especially for people from different technological backgrounds. But DataWorkshop was a smooth ride, you just needed to follow the instructions provided in advance.

Great thanks :D
Join DataWorkshop community
Over 5000 ML and AI enthusiasts
By subscribing the list, you agree to the processing of your personal data (name, e-mail) as part of DataWorkshop activities. Providing personal data is voluntary but necessary to implement DataWorkshop initiatives. The User has the right to access their personal data and the right to correct them. In addition, you have the right to object to the processing of your data for the purpose of promoting or sharing your data with third parties.
Follow DataWorkshop
Contact
you can also write on:
hello <at> dataworkshop.eu

Grodzka 42/1, 31-044
Kraków, Poland
By sending a message, I agree to the processing of my data as part of the DataWorkshop project. I give the above permission to Biznes Myśl - Uladzimir Aliakseichanka, ul. Grodzka 42/1, 31-044 Kraków, NIP: 6751364881. You can withdraw your consent at any time.
© All Rights Reserved. DataWorkshop.
Strony
Znajdziesz nas