A hybrid training has participants joining the instructor in person and participants joining online via video conferencing. A necessary approach as a result of the current situation regarding COVID-19. However, with a good setup and proper equipment we ensure that everybody feels as if they’re not at home. There’s the added benefit that everybody around the world can join us, as long as they’re willing be awake from 10AM to 5PM CEST of course. Check out our schedule to see all our upcoming workshops.
Online and hybrid training
We do everything we can to make every hybrid training as safe, enjoyable, and personal as possible:
- We use a separate camera so that remote participants see the instructor as if they’re sitting in the room.
- We use a professional microphone so that the instructor sounds loud and clear.
- We use a projector that features a good speaker so that remote participants sound as if they’re in the room with the other participants.
- The instructor and participants joining in person take every measure against COVID-19 into account, including keeping an appropriate distance.
- The instructor joins the online meeting twice. Once with a laptop used for presenting and once with a tablet to address individual participants more personally.
- We let every participant join the online meeting so they can all see each other and they can easily share their screens when they’re stuck. Great for hunting bugs!
Our bread and butter. We focus on the exciting field of data science, which includes data cleaning, data visualisation, machine learning, artificial intelligence, programming, devops, and databases. Have a look at our catalogue.
There are many types of training: short inspiration sessions, one-day masterclasses, multi-day workshops, and multi-week training courses. They combine theory, practical examples, engaging exercises and real-world cases. Most of them are hands-on, which means that we have not too many slides and spend most of our time practicing. We also create room for interesting discussions and exploring ideas from participants during the training.
We welcome everybody who wants to improve their data science skills. We have taught junior data scientists, senior data scientists, data analysts, developers, database administrators, linux guru’s, researchers, engineers, spreadsheet specialist, BI consultants, team leads, managers, and executives from a variety of industries.
The hands-on workshops are designed for five to twelve participants. We’ve found that this group size works best to achieve the dynamic and interaction required for a successful workshop. This also ensures that there is time for personal attention and to answer individual questions. For fewer than five participants, an in-company training may not be the best choice. For more than twelve individuals, we would be happy to discuss dividing participants into multiple groups.
Depending on the needs of your organisation, we can cover various topics and data science skills in a series of three to ten sessions, spread over multiple weeks. This approach allows participants to work with their new skills on the job and to build on their experience during the next session.
By the end of a training, participants will have acquired new skills and knowledge and have already taken the first steps in generating valuable insights or develop state-of-the-art data products.
Examination and certification
At the end of a training we happily award digitally signed certificates of completion. This is a complementary service included with every training course.
By default the certificates are awarded to participants who have attended at least 80% of the sessions. It’s also possible to include an exam based on the learning goals of the training that participants are required to pass.
In any case, a certificate of completion is a great way for participants to demonstrate their accomplishment by either printing it or by putting it on, say, LinkedIn.
A hackathon is an event in which participants or teams work, or hack, on a specific problem for a certain amount of time. Often, but not always, a hackathon is set up as a competition, in which participants or teams strive to get the best solution in order to win a prize. In a data hackathon, one or more data sets play a central role where the teams could be tasked to, say, get the most accurate predictions or produce the most insightful data visualisations.
The reason we organise hackathons is because we’ve noticed that they’re a great way to push the boundaries of those who participate. Because participants work on a new problem, they often take the chance to learn about a new piece of technology. There’s also a collaborative aspect which can lead to new connections within an organisation. At the end of a hackathon, everybody is exhausted but inspired.
Hackathons come in many shapes and sizes. Here are some things to consider:
- What’s the main goal of the event? To learn something new, to motivate collaboration between departments, to inspire the rest of the organisation or to simply have fun?
- Is it a competition with a jury and a prize?
- How do we form the teams? Or do we let the participants form teams themselves?
- Is the problem to be solved specified beforehand or do we let the teams figure this out themselves?
- Which data sets, APIs, or technologies can the teams use?
- How long does the hackathon last? An afternoon, multiple working days, or do we let the teams hack 24 hours straight?
- What means do we use to keep the teams fed and hydrated?
“Data Science Workshops facilitated a data hackathon for the data team of Transavia. They made sure it was inspiring, helpful, and leading to valuable insights in the way of working with Python for multiple projects and analyses that Transavia is currently implementing.”
Preparation is key in order to organise a good hackathon. Besides helping you choosing the shape and size that’s right for you, we will help you gather data that’s usable and prepare code snippets to demonstrate how to get started.
During the event itself, we will ensure that no teams get stuck unnecessarily. We can even hold ad-hoc mini workshops if enough participants wish to quickly learn about a specific topic. A hackathon can be part of a longer training course or can be organised stand alone.
It’s all too easy to stick with the tools and techniques you know best. A training plan is a great way to ensure that your team stays fresh and open to new things. We’ll come to your office on a regular basis to, for example, demonstrate a new tool, revisit a concept from statistics, or deep-dive into a certain machine learning algorithm. By the end of the day, participants will have learned—sometimes unexpectedly—something useful that they can apply in their work. And if they wish to learn even more, we can organise a related course with a 10% discount.
We offer three training plans: Inspire, Explore, and Accelerate. These plans range from one on-site inspiration session per quarter to one on-site master class per month.
- One full-day, on-site inspiration session per quarter.
- Based on any beginner or intermediate course from our catalogue.
- For up to 30 attendees per inspiration session.
- One full-day, on-site inspiration session or master class per two months.
- Based on any beginner, intermediate, or advanced course from our catalogue.
- For up to 30 participants per inspiration session or 10 participants per master class.
- One full-day, on-site inspiration session or master class per month.
- Based on any beginner, intermediate, or advanced course from our catalogue.
- For up to 50 participants per inspiration session or 12 participants per master class.
“Even experienced data scientists need to keep working on their skills and knowledge. For the past half a year, Data Science Workshops has come to our office once a month, to teach us about a variety of topics, ranging from NoSQL to t-SNE. This is a great way to stay fresh and look beyond the tools and techniques that you’re already familiar with.”
Nothing is more frustrating than getting stuck, especially when there’s some pressure. That’s why we offer three coaching plans: Consult, Discuss, and Collaborate. These plans enable your team to ask our experts anything related to data science—from specific programming questions to advice on how to set up a new data science project.
The light plan, Consult, includes up to four hours of support via email and Slack, while the intensive plan, Collaborate, includes video calls, pair programming sessions, and even on-site coaching. Just as with our training plans, you’ll receive a 10% discount on all our other services and courses from our catalogue.
- 4 hours of remote support.
- Ask questions via email and Slack.
- We reply within 12 hours.
- Covers up to 8 people.
- 6 hours of remote support.
- Ask questions via email, Slack, and Github.
- We reply within 8 hours.
- Plus one one-hour video calls or pair programming sessions via Hangouts or Skype.
- Covers up to 12 people.
- 8 hours of remote support.
- Ask questions via email, Slack, Github, and WhatsApp.
- We reply within 1 hour.
- Plus two one-hour video calls or pair programming sessions via Hangouts or Skype.
- Plus one four-hour, on-site coaching session.
- Covers up to 16 people.
“Data Science Workshops organised for KPN a ten-week course on Data Science with R. The combination of training, on-site coaching, and remote support ensured that our analysts are applying the new knowledge and skills in their daily projects. For instance, they’re now capable to implement complex predictive models using R. We’re looking forward to the follow-up course on Advanced Machine Learning.”
- Type: Free meetup
- Founded: 2012
- Location: All over the Netherlands
- Members: 2900+
- Website: http://datasciencemeetup.nl
We regularly organise the Data Science NL Meetup. This meetup is dedicated to sharing knowledge about the exciting multidisciplinary field of data science. Our community has more than 2,900 members from both industry and academia that apply statistics and machine learning to data problems ranging from a recommender system for a startup, a solution that reduces costs for an enterprise, to a predictive algorithm that saves lives. Visit the meetup page to see past and upcoming events and photos.
If you’re based in the Netherlands you should sign up and join us for an evening with engaging talks, great people, delicious food, exciting book raffles, and interesting announcements from the community. Let us know if you’re interested in speaking, sponsoring, or hosting. Our previous hosts include Picnic, TomTom, Cognizant, and Heineken.
“Data Science Workshops organised the Data Science NL Meetup (a meetup for data aficionados) at our offices in Amsterdam. They found inspiring speakers, arranged recording and live broadcasting on a data science podcast, and—despite a heat wave outside—packed the room with an engaged audience! We only had to make sure we had plenty of pizza and cold drinks. Both the meetup and the networking truly brought the data science community closer together.”