Month 1 - 9 | Online
Month 10 - 14 | Online + Amsterdam
Month 15 - 18 | Project/Practicum - Global
Dubbed the hottest job of the 21st century, data scientists are some of the most wanted professionals in today’s labor market. According to Glassdoor, data science is the number one job considering demand, salary, and job satisfaction. In Amsterdam, the average entry-level data scientist salary is 47,422 EUR
We help you prepare for the world’s hottest job by developing your technical and interpersonal skills and connecting you with employers in the Amsterdam metropolitan area.
May 2020 | November 2020
Total duration of the Master Programme is 18 months.
99 Euro / month + Deferred Tuition
Use Python to manipulate, analyze and visualize data
Import data from various different sources
Convert raw data into a form ready for analysis. Tidy and clean data for analysis. Implement data manipulation techniques prior to analysis.
Explore large sets of data. Communicate and present visually critical data-driven findings and insights.
Apply statistical method to infer meaning from data and test hypotheses. Find the relationships in the data.
Build predictive models based on structured and unstructured data. Determine the right approach to solve problems. Compare models for accuracy and efficiency to find an optimal solution.
Engage with each other and the programme, and explore the data science domain and essential data science competencies in this module. Discover your learning preferences and practice how to work with your action learning group. Acquaint yourself with the learning tools & resources and learn how to build your professional e-portfolio to showcase your skills in data science for prospective employers.
Master the basics of data analysis with Python – the most powerful programming language used by data scientists. This module gives you a practical start with data visualisation and Python essentials such as functions, iterators and lists.
Learn how to get the data you need for your data science project from different sources like Excel files or the Web through APIs, and prepare your data for better analysis. Get serious by exploring your data more deeply and discover new insights.
Advance your skills in data analysis and data manipulation in pandas – the most widely used Python library for data science and learn how to interact with relational databases and build your own in this module.
Become a master at communicating your insights by creating interactive data visualisations and hone your hacker statistics toolbox by performing statistical inferences, constructing and testing your hypotheses.
Learn how to utilize advanced techniques in data science to not only build & tune predictive and deep learning models but also make sense of networks by using real world network data.
Develop your leadership skills in data science focusing on three key areas in leadership: Self-Leadership, One-to-one leadership, team leadership and organisational leadership.
This quick form will help us understand whether you meet the basic requirements
If your profile is shortlisted, you are invited to an online analytical test and asked to submit a statement of motivation.
Upon enrolment we will ask for a copy of your undergraduate diploma and transcript, as well as proof of English proficiency.
If you are unsure whether you meet the prerequisites for the course, please write us at firstname.lastname@example.org
European Leadership University (ELU) is a fully recognised European university established in 2015 with the official decree and approval by the Ministry of Education and Culture in Turkish Republic of Northern Cyprus.
We have received Institutional accreditation in 2016 and achieved full programme accreditation in 2017 by the Higher Education Planning, Evaluation, Accreditation and Coordination Council, Nicosia which is represented at The European Association for Quality Assurance in Higher Education (ENQA), the umbrella organisation for recognised government accreditation agencies in the European Higher Education Area (EHEA). We are also a member of EURASHE (European Association of Institutions in Higher Education) and NARIC (UK).
SCIENCE PARK 408 1098 XH AMSTERDAM