Certified Professional Program Data Science (Python) - Future (online) (English language)

Certified Professional Program Data Science (Python) - Future (online) (English language)
  • Informatica
  • 10 EC
  • Vanaf € 7500
The Certified Data Science program is an advanced training for anyone looking to seriously improve their technical data science skills and capabilities. A group of highly specialized experts will go in-depth with you, delving into the world of data. Combining theory and practice in case studies and actual challenges of your own.

Voor wie is de opleiding bedoeld?

(Intended for)
 
Are you a professional and are you looking to improve your technical data-science skills and competencies? Do you have technical knowledge of programming and database structures to bachelor's level? Or are you familiar with programming and database structures? Even if you are looking to deepen your knowledge but are not yet ready to concentrate on the entire intensive program, this is your chance to take part in intensive training given by a group of specialized experts who are at the forefront of the latest technological developments in data science.
 
The working language throughout the program is English; the documentation material is also written in English.
(General)
 
The Certified Data Science program is an advanced training for anyone looking to seriously improve their technical data science skills and capabilities. A group of highly specialised experts will go in-depth with you, delving into the world of data. Combining theory and practice in case studies and actual challenges of your own.
 
The program is divided into two semesters: Foundation (semester 1) and Future (semester 2).
Each semester lasts four to five months and is comprised of short and long modules or blocks. You start the Certified Data Science Program in the Foundation semester, as this will give you the knowledge required to participate in the more advanced Future semester. During the Future semester, expecting in spring 2020, we will delve even deeper into the subject matter.
 
The Future semester is comprised of 3 blocks and known as the “Full Pack”:
Block 1:
  • Business Analytics II
  • Times Series
Block 2:
  • Deep Learning
Block 3:
  • Big Data Analytics II
  • Crowdsourcing
If you wish, you can choose only 1 or more blocks of your choice.
 
Why should you participate in the Certified Data Science program?
 
Data science is developing at a rapid pace. This development has a major impact on the way in which organizations, both in the public and private sector, structure and execute processes. This impact can also be felt in relations with business partners, in decision-making, and in terms of the competencies and skills that employees at every level of the organization must possess. The Certified Data Science Program is a unique and challenging course, offering a mix of advanced data-science topics that will help you to prepare yourself for this development and be part of it.

Studieduur

(Duration of the course)
 
The program is offered online and will consist of virtual meetings and independent learning in order to master all the topics that are discussed. The schedule for the virtual meetings can be requested via email: you@ou.nl.

Begeleiding

(Description)

The program has been designed to help you solve generic business problems and master a specific skill or competence, ensuring a constant relation between theory and practice. We also apply insights to your cases and business challenges and show you how you can use data-science techniques to improve innovation at your company. Alongside the face-to-face meetings, participants will have to set aside time for independent learning in order to master all the topics that are discussed.

The course material includes a course manual for self-study, with presentations, example scripts and assignments.

Toelating

(Qualifications)
 
Technical understanding of programming, database structures, etc.
Course level: Quantitative Bachelor Degree, preferably MSc
 
The full- program is divided into two semesters: “Foundation” (semester 1) and “Future” (semester 2). This is the registration for the Future semester (semester 2), in which we will delve even deeper into the subject matter. If you have not followed the foundation semester of this program we kindly ask you to send us your CV so we can assess whether your technical understanding of programming, database structures, etc. is sufficient to enter the future semester.

Inschrijfvoorwaarden

(Registration conditions)
 
Please read our registration conditions (available in English) first.

Starten

(Start of the program)
 
The start of the future semester is still under development. If you wish to have an update for further information you can contact us by sending an e-mail to you@ou.nl. You may also request a no-obligations consultation with a lecturer.

Prijsinformatie

(Price information)
 
Participation fee Full Pack (3 blocks: Business Analytics and Time Series (incl. Crowdsourcing), Deep Learning and Big Data Analytics):
€ 7.500,- all inclusive. If you register not later than 4 weeks before the start date, we can offer you an early booking discount of € 500. - on the total one-off payment.
 
Participation fee per Block (choose the block(s) of your preference):
€ 3.750,- all inclusive
 
Please use the comment box on the registration form to inform us about your preference (Full Pack or Block 1, 2 and/or 3) and also if you're a BSSC participant, because of the difference in price.

After we have received your completed registration form, we will send you a confirmation of participation.

Please note: The discount scheme Course fee Open University (KCOU) and Levelanglerenkrediet (LLLK) does not apply to Certified Professional Programs.

Diploma

After completing the program you will be assessed by highly specialized experts and receive a certificate including 10 EC’s. The awarded 10 EC can be used in the yOUrMBA program, in which it counts for two modules in the smart industry specialization track.

Contact

If you would like to have more information, the brochure or a free consultation (with a lecturer), please indicate this by sending an email to our Team Professional Programs.