Data Analytics & Machine Learning: January 14

Job description

This course works best for those with prior experience working with numbers, having clear affinity and experience in finding solutions for business challenges or those willing to do so.

 

For this reason we are looking for people that want to dive into the world of Data Science. The main focus lies on learning you several methods that will enable you to interpret data and design reliable business solutions. You will learn to manage programs such as ggplot, data mining methods, Python, RapidMinder, R, GitHub and applying Lean and Agile processes. This will equip you with unique job-ready skills by testing you with the help of realistic projects that will serve as a mirror for your professional career. Within 13 weeks of training followed by a six months traineeship we will have you ready to enter the job market. 


What you will learn:

 

  • Frame and organize business questions in ways that can be answered through Big Data Analyses and meet the information needs of a project
  • Acquire, process and analyze data sets using data mining methods to discover patterns or do data exploration.
  • Run, apply and test machine learning tools for different kinds of data
  • Interpret the result of your analysis in order to provide actionable insights.
  • Learn relevant software skills on R and Rapidmine
  • Communicate results to management and other non-technical audiences
  • Learn different methods of data visualization using packages like ggplot

Requirements

Requirements

  • Ambitious and fast learning with an WO mindset
  • A degree in science, technology, engineering or mathematics or  a business degree  with any quantitative master
  • Prior knowledge of data and/or working with business challenges
  • Fluent in English (verbal and written)
  • Enthusiastic, self-motivated, eager and positive
  • Creative, flexible and open minded
  • Independent, entrepreneurial and able to work on multiple tasks at the same time
  • Fulltime available for a period of at least 10 months
  • A valid working permit for the Netherlands


Furthermore:

The course will be fulltime, taught in English and is located at B. Building Business Amsterdam (Zuid Amsterdam). During this program you will connect into a diverse network,  become part of the Experis and B. Business Building Amsterdam community and learn and grow by doing! We ask our students for a €950,-(excl. VAT) tuition fee that will cover the cost of the course.

 

About us:

At B. Startup School Amsterdam (BSSA) we are all about talent. We acknowledge peoples talent by giving them the right set of tools to kickstart their career in Tech. We do this by offering different programs that will provide you with an unique set of skills in high demand on the job market. You will be taught by current professionals and become part of the largest startup community of Europe.