Data Science Bootcamp 2018

Di-Academy is organizing a 12-week data science bootcamp on demand of our innovation partners who are struggling to attract the right profiles. Sending an employee to the bootcamp is the fastest way to gain data science expertise within your company.

The target audience groups for this bootcamp are  :

  • young graduates who want to be fully prepared for a data scientist role,
  • professionals with several years of experience who want to become data scientists.

We believe that the mix of these two profiles can bring added value to the group dynamics.

After the bootcamp participants will be certified in R, Python, SAS  and they will be ready to tackle the most challenging data issues with different tools and techniques. They will also be able to communicate about data science in a language that business users understand. They will also build a network of peers and experts they have met during the training and coaching sessions.

The program has two Phases – each is explained in sections below :

  1. kick-start & tools & techniques
  2. business cases

Phase 1: Kick-start

The first part of the bootcamp is dedicated to programming languages because they are the backbone of data science. SAS, Python, R and SQL will be taught since they are the programming languages that every data scientist should be familiar with. An introduction to statistics will also be provided for participants that request it.

The training format will be coached MOOCs (massive open online courses). This approach allows every participant to learn at their own pace with the help of a coach. Participants will need to pass a certification at the end of every MOOC to confirm they master key concepts. Every week a dedicated coach will be available to support each MOOC. It is expected that participants will only follow MOOC for the programing languages that they are not familiar with. For example, if a participant is already familiar with R he/she doesn’t need to complete the MOOC for R.

We provide coaches for SAS, Python, R and to help bootcampers in their certification process. 

Phase 2: Tools & techniques and business cases

Bootcamp starts on September 19th, right after the kick-start. Participants are expected to attend classes on Monday and Tuesday of every for a period of 12 weeks. On the other days of the week participants are invited to work at DigitYser so they can focus on a business case for their employer with the help and coaching from experienced data scientists.

Every week participants will be exposed to a new business case and toolset. The trainer will provide the source data, explain the business problem and present typical business questions that need to be resolved by the participants. At the end of every topic participants will be asked to present their methodology and conclusions. This approach ensures that all trainings are both business oriented and very hands-on.

Here is the link to the full program : https://di-academy.com/trainings/

We will cover following topics:

  • Predictive Modeling Essentials
  • Data Viz&Storytelling
  • Big Data Architecture
  • Elastic Search & Discovery

  • Segmentation

  • Marketing Models

  • Data Enrichment

  • Graphs

  • Social Network Analysis

  • Text Mining

  • Recommendation Engines

  • Process Mining

  • Internet of Things

  • Supply Chain / Optimization

  • Finishing business case and presentation (optional)

The daily schedule of the bootcamp will look like this:

 Monday – TuesdayWednesday – Thursday – Friday
9h – 12hHands-on training session morningHands-on training session morning
12h – 13hLunch&networkingLunch&networking
13h – 17h Hands-on training session afternoonHands-on training session afternoon

Cost and conditions for the hiring company

The cost of the full program is €15.000. This cost includes 24 days of training and 40 days of coached hands-on work on data4good projects, and 25 days of learning during the kick-start program.

Innovation Partners of the European Data Innovation Hub get a discount of 20%.
Training Partners presenting a business case during the bootcamp pay 6.000 €

Cost and conditions for the bootcamper:
In anticipation of your employment with one of the hiring companies, diHub agrees to pre-finance the participation of the selected bootcamper in the Data Science Bootcamp. Find below the agreed commitment of both parties.

Commitment from di-Hub:
  • Deliver the Data Science Bootcamp (on Mondays and Tuesdays from 01/10/2018 until 18/12/2018) + the graduation ceremony (on 20/12/2018)
  • Promotion of each individual candidate towards our extended list of corporate contacts + organisation of 3 Job Fairs
  • Coaching and follow-up of the participants
  • Access at reduced rate or mostly free to all datascience / Nextech related events & trainings
Commitment from the bootcamper:
  • Active participation to all the sessions of the Data Science Bootcamp:  24 days
    (including finalising each exercise)
  • Exclusivity for all Data Science jobs for six months, from 01/10/2018 until 31/03/2019
  • 40 days of internship on Data Science projects(as of 01/10/2018 until 31/03/2019)

diHub commits to do every possible effort to promote all participants of this Data Science Bootcamp to future employers. The aim is that these employers pay for your seat in the Bootcamp (€15000 VAT excl.). Once this fee has been paid, your obligation to follow the internship is waived.

If you are in contact with a potential employer, you need to bring them in contact with Philippe Van Impe or Olivier Dierickx in order to negotiate the training fee for the bootcamp.

Keep in touch for November and December. Those 24 days are open to anyone, even external people (follow the links). And our partners and DigitYser friends could benefit from discounts. As you can see in our program, it’s boiling of interesting hands-on workshops!

Upcoming Events

Join the Forum to stay in touch with fellow bootcampers. 

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