Enterprise Data Science Workshop

Time has come to give data science a try in your organization. Having in-house expertise would be a great win to avoid costly mistakes and bring value faster.

Your project starts soon and pressure to deliver is increasing

After careful due diligence, you have decided to explore some use cases of data science in your company. And you see R (or Python) as the most suitable tool for this task. The only issue? There is a steep curve to master all the right tools, and since your project is highly visible within the organization, pressure to deliver value quickly is high. An enterprise data science training that takes months is not an option.

Kicking off a project with new technology is stressful

You need to get your analysts up to speed quickly, but there are so many important questions to answer:

  • Where should we start?
  • What are the “best practices”
  • How do we structure our code and data?
  • How can we ensure our analysis is reliable?
  • What common pitfalls are there and how can we avoid them?
  • We found some examples on the web but don’t quite understand them!
  • What should we know right now and what can we learn later?

What if your team could make some quick-wins fast?

With the right mentoring, your team can hit the ground running and bring value faster. But it is hard to get this right. You might rely on external consultants to get started, but what happens when they leave? Furthermore, you might not be able to maintain and upgrade such pilot projects, and would be eventually shelved, effectively wasting a lot of money.

The solution: a hands-on corporate data science course delivered by experts

There are many training providers out there, and there is no shortage of low-cost, online alternatives. But while the initial cost seem low, there are long-term costs to consider. An onsite corporate data science course tailored to the needs of your organization is a much more effective alternative in the mid-term.

Furthermore, lecturers of data science bootcamps often lack real-world expertise. Hence, the techniques you learn in such data science course are not usable in production.

2/3 core curriculum, 1/3 tailored to your needs

Our data science training introduces common business use cases as motivation for the algorithms and techniques developed further. We start from the high-level solution of the problem to break it down in specific tasks to be accomplished. At this point we introduce the algorithms needed and how to use and fine-tune them.

Besides the core curriculum, we discuss in advance your concrete needs to include customized case studies and their solution that apply to your concrete business. This ensures that our training will be useful to your team.

Our business data science training offer

Day One: On this day we cover a high-level overview of the data science methodology, including distinction between supervised and unsupervised learning, validation methods and tools for data exploration.

Day Two: We take a deep dive into common case studies, like customer segmentation, churn, survival analysis, forecasting and customer lifetime value. Relevant packages and libraries are introduced as needed. These are perennial business problems where even incremental improvements on the existing approaches can bring huge value.

Day Three: On this day we use data science techniques to cover specific use cases of interest to your business. For instance, this could be a one-day workshop in solving common use cases of text mining. Or designing dashboards and web applications with Shiny or Plotly. The curriculum of the third day is agreed in advance with you to make the training successful.

Who can participate?

To get the most out of our training, we expect that the participants have a basic background in mathematics and probability. Some experience with data manipulation and modelling (for instance, using Excel or tools like PowerBI or Tableau) can be useful.

If necessary, some background material will be provided to get ready. Some hands-on practice from real life or from DataQuest in your language of choice (R or Python) would be helpful.

How do I get started?

Send us an email to info@datastart.eu or reach out through our Contact page. Please provide us with the following information:

  • Full name 
  • Email address, company name and location.
  • Goals for the workshop and background of the participants.

We are based in Prague, Czech Republic, but we can travel as needed. However, we are able to hold training on-site 1-2 per month only, so book your training now! Get the training your team deserves now!