Using data to drive value creation

The use of big data is a key basis of competition and growth for individual firms. From the standpoint of competitiveness and the potential capture of value, all companies need to take big data seriously. A shortage of a deep-analytical workforce is blocking growth according to a report of McKinsey.

However, the new generation of self-service tools enables people to get great results themselves without the need of a hardcore data scientist. These self-service tools are designed to focus on creating value from data of instead on the harder technical implementation details.

This course brings you to a point where you can execute many data driven projects yourself without the intervention of a specialist. Also if you have a specific project where you consider using big data and data analytics to drive artificial intelligence, you have the opportunity to discuss the case with the lecturer to get you started and get the most value out of it.

  • Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity.

Complex Problem Solving

Diploma
Diploma

Mode
Fulltime

Course date
02 - 06 Oct 2017

Duration
5 days

Senior Lecturer in Business Data Analytics
Davy Cielen

Course objectives

At the end of this program you will:

  • Be able to select the right machine learning tool for a job
  • Use self-service tools to implement a machine learning project
  • Build complex and interactive visualizations
  • Use the Python programming language to handle complex analytical jobs
  • Deploy jobs as webservices

Course structure

Monday Tuesday Wednesday Thursday Friday
Morning Review machine learning concepts and big data tools Advanced data visualization Machine learning: regression Machine learning: unsupervised learning Real-time data processing
Lunch Lunch @ MSM Lunch @ MSM Lunch @ MSM Lunch @ MSM Lunch @ MSM
Evening Python for data science: guided workshop Advanced data visualization Machine learning: classification Neural networks Natural language processing

Course topics

  • Non mathematical deep dive into data science
  • Advanced data visualization with Tableau
  • Big data machine learning on AzureML (Microsoft)
  • Python for data scientists

Teaching method

  • Case studies
  • Project
  • Lecture
  • Online excercises

Your profile

Managers and professionals who want to be able to lead an data-intensive team but also want to have hands on experience of machine learning.

The ideal student has a good knowledge of statistics, he should be acquainted with regression. Although no advanced mathematics will be used, students will benefit from experience with linear algebra and an introduction to calculus.

Davy Cielen

Davy Cielen, MSc, is Senior Lecturer in Business Data Analytics at Maastricht School of Management. He holds a BSc in Commercial Engineering from Solvay Management School, Vrije Universiteit Brussel (2011) and an MSc in Applied Economics from Vrije Universiteit Brussels (2016). Davy is pursuing a PhD at IESEG School of Management (Lille, France) in Big Data Analytics for Business since 2015.

"As more and more knowledge jobs get automated, with knowledge of artificical intelligence you will be in the epicentre of change".
Davy Cielen, lead trainer of the course

The full tuition fee

The tuition fee of this course is € 2,499.

Tuition fee includes all course materials and study materials. Tuition fee does not include housing, food and living expenses. Participants are required to arrange their own housing facilities. MSM can assist in finding hotel accommodation.

Scholarships

Corporate Discount:
15% for 2 participants coming from the same organization within 1 academic year
25% for 3 particpants coming from the same organizatin within 1 academic year
40% for 4 - 6 participants coming from the same organization within 1 academic year
For > 6 participants we will offer a tailor made program

European Star Scholarship:
50% for European citizens and long term residents. Submit a 2 - 3 page essay on the topic: "What will be the positive change for my organization and me after participating in this course?"

Alumni Lifelong Learning:
15% discount for Maastricht School of Management registered Alumni

Dean's Development Fund:
Select your country below to see the actual price of the program (full tuition fee-/-DDF scholarship)


The tuition fee of this course is (select country).
The application fee is € 20.

Cancellation policy

By MSM:
MSM reserves the right to postpone or cancel the program in case the number of participants does not meet the MSM requirements for minimum number of participants. Any payment made to MSM for tuition fee will be refunded. In the case of postponement or cancellation of the program MSM will inform the enrolled candidates at least six weeks before the planned start of the program.

By the participant:
If an admitted participant decides against participation, she/he or, if applicable, the sponsor is liable for the following cancellation costs:

• 25% of the tuition fee if cancellation is between eight to seven weeks before the start of the program.
• 50% of the tuition fee if cancellation is between six to four weeks before the start of the program.
• 75% of the tuition fee if cancellation is within four weeks of the start of the program.
• In case cancellation is done after the program has started no money will be refunded.
• No cancellation charges are incurred if the enrolled candidate or the client, with written consent of MSM, will be replaced by another candidate before the start of the course. Refunded tuition fees will only be reimbursed to the sponsoring party and cannot be forwarded or redeemed by any other party.

Candidates who were not granted a visa to enter The Netherlands, can be fully reimbursed if written official documentation is provided of such visa denial.

Application deadline

04 September 2017

Admission requirements

Applicants should have the ability to function academically and professionally at Bachelor level and should have an adequate level of spoken and written English.

The ideal student has a good knowledge of statistics, he should be acquainted with regression. Although no advanced mathematics will be used, students will benefit from experience with linear algebra and an introduction to calculus.

Reasons to follow the Value Creation with Big Data program

  • Learn to deal with real world data
  • Get hands-on experience of what drives the automation of knowledge workers
  • Easy-to-use tools make the field accessible for non-engineers
  • One of the most sought skills in the labor market
  • Understand technology that changes industries.

Learn to use self-service tools to implement a machine learning project

Open enrollment programs

MSM offers a wide portfolio of short open enrollment programs. Our skills-oriented programs will help you to enhance your management and professional knowledge and skills, broaden your mind and develop your personal skills. Additionally we offer policy-oriented programs providing you with the tools and instruments that can help you in developing effective policies for your organization.

Custom made programs

Apart from the Open Enrollment executive programs, MSM offers custom training programs, for the public and private sector, and for the higher and vocational education sector. MSM’s custom programs are tailored to the specific needs and challenges of your organization, making them the perfect tool to strengthen the leadership skills and expertise of the professionals of your organization.