"Business Data Analytics for Scientists" Scholarship
Page Personnel, a world leader in talent management and recruiting and the Ubiqum Code Academy, offer 10 technological scholarships in 2018 for highly qualified employment.
This course is designed to train professionals, with no previous data analysis experience, in 800 hours spread over 5 months and turn them into a Jr. Data Analyst. If you don’t know anything about data analytics but are motivated to work hard for 20 weeks and start a new career in the business field, this is your opportunity.
12 March 2018
16 April 2018
14 May 2018
11 June 2018
16 July 2018
10 September 2018
15 October 2018
12 November 2018
Who can access the “Business Data Analytics for Scientists” Scholarship?
Men and women between 22 and 30 years old, of Spanish nationality or with a work permit in the EU, with a university degree in Mathematics, Physics, Engineering or a Ph.D. in any science with proven experience in the use of quantitative research methods and a good level of English, you have the possibility to access one of the 10 “Business Data Analytics for Scientists” Scholarships.
Conditions of the offer:
Access to the 800-hour Data Analyst & Big Data course at Ubiqum Code Academy with a 25% discount. No payment in advance needed. You pay 100% of the course when you start working. There is also the possibility of financing 100% of the course payment once you have an employment contract.
Admission and selection process:
People who wish to access this opportunity must follow the procedure below:
1.- Fill in the Contact Form on this page. Our admissions team will contact you to introduce themselves and ask for your CV and a Cover letter explaining why you should be granted the Scholarship.
2.- Ubiqum Code Academy and Page Personnel, will select the best candidates and people will be called for an interview and aptitude tests in Page Personnel.
3.- 10 candidates will be selected during 2018 that will be able to benefit from the “Business Data Analytics for Scientists” Scholarship.
Ubiqum Code Academy is committed to helping and supporting the student in obtaining a junior developer job, with an estimated gross annual salary of between €22,000 and €28,000 per year.
Ubiqum Code Academy guarantees a solid and long-lasting apprenticeship with total job transfer, risking 100% of the cost of tuition to achieve this job.
Students can expect a lot of career support from us. So far, they have started careers at companies like Hewlett-Packard, Immfly, Netquest, Netcentric and more.
GeenappMarc Vea: Jan, 2017
La CaixaToni Diaz: Feb, 2017
HiboxMarc Roca: Feb, 2017
What you will learn
By the end of this course you’ll be able to use a range of data analysis tools to help any company make better business decisions. You will bring valuable skills to your new workplace, such as interpreting significant patterns, applying data mining to business and engineering tasks, and making predictions based on data sets.
A day in class
Grab a cup of coffee and start the day with your course mates by going over what you did the previous day, what you got stuck on, and how you found a solution. Encourage and motivate each other for the day ahead!
Through our online platform, students get a clearly-structured brief, plan of attack, and list of resources to assist them as they begin the work.
Students can bring their own food and use our facilities to warm it up, but there are also great restaurants nearby!
Students share their ideas and work together in pairs, just as they would in a real work situation. Mentors are always nearby to help.
Check out ubiqum.com/calendar for what’s up in Barcelona for the most relevant events and talks. This time also may be used for a professional talk from our career councillors.
The course by weeks
Students will be “working” for Blackwell Electronics as data analysts using Rapid Miner, a software platform that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. . The student’s job is to use data mining and machine-learning techniques to investigate patterns in Blackwell’s sales data and provide insight into customer buying trends and preferences.
You will learn the algorithmic and organizational skills required to scale data analysis to large server farms, computing clouds, and the web, including an understanding of the design and implementation differences between single-computer and cloud-scale programs, analytics, and data processing.
Students will learn to use the R statistical programming language to perform visualizations, then to generate descriptive statistics and predictive models using time series regression techniques and statistical classifiers. Finally, students will present the results to the start-up’s management, explaining strengths and weaknesses of the approaches that were implemented and making suggestions for further improvement.
"I was astounded how much I learnt in such a short time. The ethos of their education platform is ‘to learn by doing’. This is certainly the case. By the end of week 3, I was already proficient in using Machine Learning Techniques and presenting findings as a data analyst. With no prior knowledge! Having your fellow students to bounce off, we all became great friends and discussed all things data. The course is very insightful, and opened a window into a world I never knew existed. All the staff at Ubiqum are super friendly, and you can approach them with anything. They will go out of their way to get things sorted and make sure your time at Ubiqum is enjoyable. "