Data Analyst (Remote, Part-time)
Become a Data Analyst with this Remote Learning program.
Become a Data Analyst with this Remote Learning program.
15hours a week, with personal mentor support
Learn by doing with real world tasks.
Guidance and advice on advancing your career.
We take beginners with zero experience and develop the fundamental skills required of a Data Analyst in 6 months (450hs). This is a remote online course, in which you will have regular videoconference sessions with the mentors to guide you through this 100% learning by doing program.
Part 1: Machine Learning for Retail
Part 2: Internet of Things
Skills: Predictive Analytics, Statistical machine learning techniques, Language R, Data Visualisation, Business orientated analysis, Live presentations to defend analysis.
Jun 5 2017
Sept 18th 2017
Promotions: Ask admissions for details.
Ubiqum is proud of its student outcomes, and we are confident in the results of the Data Analytics Remote program. We encourage you to read our reviews on Switch-Up and CourseReport.
Students work on authentic problems with an experienced mentor as their guide. Mentors don’t lecture but rather help students learn and develop skills as relevant to the work they are doing. Mentors provide in-depth feedback on student projects and make recommendations for improvement.
You work online, attend regularly scheduled meetings and make appointments with your mentor just as you would do with a real-world supervisor. Students will attend part time (15 hours per week) for 30 weeks.
Job Ready Skills
Through this program you will receive:
During the certificate program students will master many data analytic techniques. Each technique is taught within a business value framework and can be applied to almost any data set. We call this a Story Centered Curriculum.
This program is for students with some experience with numbers / statistics. A University Degree is preferred but not compulsory. But be prepared for a rigorous, challenging program that requires consistency, discipline, and accountability. By the end of this program, you will have the skills to switch careers and become a Data Analyst.
Students will be “working” for Blackwell Electronics as data analysts using the open source WEKA machine learning package. The student’s job is to use machine-learning techniques to investigate patterns in Blackwell’s sales data and provide insight into customer buying trends and preferences.
The work in Blackwell Electronics continues. Now, the objective is to apply the learned methods to create predictive models.
In this course, the students will use Weka y Machine Learning to predict what new products the sales team should incorporate to its portfolio to obtain more profitability.
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. Students will present the results to the CEO, explaining strengths and weaknesses of the approaches that were implemented and making suggestions for further improvement.
The application process takes three steps.
Send us your contact details. We’ll reach out to talk more about your profile and motivation for programming.
Based on your fit for the Ubiqum program, we’ll invite you to an on campus visit to learn more about us.
After a successful meeting with us, register for the course and get ready to become a Data Analyst.
Our course is flexible according to student profile. See some example cases:
By using real world scenarios, we leave you with a portfolio of work to present to employers.
Our Data Analytics program is perfectly designed to help you acquire the right set of skills to land an entry-level Data Analyst job.
Invest just 6 months into this course and launch your career into a wide range of businesses using Data Analytics.
Some companies that hired our students
Learn about the people behind our courses. All our instructors are active and experienced in the field.
I love analytics!
I’m the Data Analytics & Big Data Business Line Manager (that’s long man…) at Ubiqum, where I help our bootcamp students to overcome with success the challenges of the course. We work with various business cases with a 100% learning by doing methodology.
Previously, I developed my career as a classical piano performer working with Alba Ventura at Conservatori Superior del Liceu, as well as teaching piano for eight years to people of all ages and levels. During that time I was selected as a speaker by TEDxYouth Barcelona, where discussed the challenges of performing classical music.
My experiences across Analytics, eCommerce and as a professional pianist have driven me to to the conclusion that creativity is an answer to our professional and personal life challenges. There is no one solution to things!
I’m always happy to connect with other people here or on linkedIn. Shoot me a message to email@example.com.
My passion is to assist others to develop their full potential. I work as educator, mentor and coach. I assist people to get the goals they pursue in their personal and professional life. The key elements I work with others are: personal development, emotional intelligence, communication skills, creativity & entrepreneurship.
Education is much more than teaching. After more than 15 years of experience as educator, I believe that learning happens with motivation, hands-on experience, emotional impact, collaboration with others & reflection. These are the ingredients of my courses.
As engineer & professor, I have promoted innovation in education, designing project-based learning courses and mentoring in Story-Centered Curriculum. I also promoted the transformation of engineering education. As a researcher, I investigated how to make computers learn (machine learning, data mining, data analytics). And personally, I am committed to my own learning.
As coach, my coaching sessions are built on the understanding of people as physical (body), emotional (feelings), mental (mind, language), and spiritual (meaning) beings. My workshops are designed to produce effective change in others’ professional and personal life. These include: a) communication skills, b) creativity, i.e., developing the own creative potential beyond a list of creativity techniques, c) personal development and emotional intelligence, among others.
If you have more doubts please contact us.
Tuition is 4.000€ (incl. VAT) if both parts are purchased together. Individually, Machine Learning for Retail is 3.000€ and Internet of Things is 2.000€.
The contents of the course are in English, meaning that the students need to have at least an intermediate level of reading in English. The mentors speak English, Spanish and Catalan but the VideoConferences we will be in English.
We do offer scholarships for excellent academic results. All applications should be completed with an updated CV.