Data Analytics & Machine Learning

Acquire the skills to boost your career and predict tomorrow's trends in global business

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TIME

5 MONTHS FULL-TIME
9-5, MON-FRI
(800 HOURS)

NEXT PROGRAM START DATE

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Program Details


PROGRAM OVERVIEW

Acquire the complex skills of a 21st century business strategist by working through a series of realistic projects. You will learn how to apply methods of data analytics to predict buying trends for an online retailer, learn about data mining using R and Python, and develop advanced visualization techniques to make your data sets both intuitive and beautiful. You will also build and deliver convincing presentations to "sell" your ideas.

MEET DATA ANALYTICS MENTOR, DANI

"During the course we see how many students, at one point, begin to understand that what we teach them and everything we do at Ubiqum is aimed at learning to think like an analyst. It's not really about the specific skills but about learning to think like a Data Analyst."

Our Methodology

What You’ll Learn

When I found Ubiqum and saw that the course was based around real life projects I knew this was the right course for me

Why R?

The R programming language is the most important language for data analytics, and the best language to learn in order to be a great data analyst. It remains essential for most jobs as a data analyst/scientist. It will also help you more quickly adopt Python should you choose to focus on that during your final month in the course.

THE SKILLS EMPLOYERS ARE LOOKING FOR

logo-r Created with Sketch. R
logo-dplyr Created with Sketch. dplyr
logo-ggplot2 Created with Sketch. ggplot2
logo-python Created with Sketch. Python
logo-amazonwebs Created with Sketch. Amazon Web Services
logo-statistics Created with Sketch. Statistics
logo-machinelearning Created with Sketch. Machine Learning
logo-datamining Created with Sketch. Data Mining
logo-algorithms Created with Sketch. Algorithms
logo-rapidminer Created with Sketch. Rapid Miner
logo-agile Created with Sketch. Agile

Projects You'll Work On

Project 1

Predicting Profitability with Rapid Miner

Develop regression and classification algorithms in RapidMiner and R to analyse customer behaviour and predict future profitability of Blackwell Electronics, a fictional electronics retailer. Collect your findings in a presentation and deliver it to a mock team of non-technical executives.

Predicting Profitability with Rapid Miner

Aurore Paligot

“In just one week, I've learned how to apply machine learning techniques in RapidMiner and received great advice from my mentor about how to present my data in an effective way. I can't wait to see what's next!”

Project 2

Deep Analytics and Visualisation

As a member of an Internet of Things startup, you have two problems to solve for two fictional clients:

1) Uncovering patterns of energy usage for cleaner energy design
2) Using wifi fingerprinting to determine indoor locationing with GPS. You'll use R to create complex visualisations, descriptive statistics, and predictive models for both problems.

Deep Analytics and Visualisation

Carles Castillejo

"I found this task quite challenging because of the following:

- Data wrangling (loading and cleaning)
- Dataset dimensions

But I got there in the end!"

Project 3

Web Mining

As an analyst for a major data analytics firm, your client, Helios, needs to understand how mobile devices are used by aid workers in developing countries. You will crawl large amounts of smartphone data from AWS to construct a predictive model for aid workers' device usage. You will visualize your model and present it.

Web Mining

Pau Pardo

"In this project, I got an idea of how Amazon Web Services (AWS) can be utilised in order to work with a huge amount of data (Big Data)."

Project 4

Design Your Own Analysis

In the final month of the course, you will work with the Program Owner to design your own project, for example learning Python to predict and visualise global economic patterns in financial markets.

Design Your Own Analysis

Juan Manuel

"I’m very interested in exploring how analysing data could help improve living conditions in cities, so I decided to look into how safe the streets of Barcelona are for pedestrians."

REQUEST THE COMPLETE SYLLABUS

Ubiqum Academy SL informs you that your personal data will be used to attend your request and send you electronic communications about our courses. Said data will not be disclosed with third parties and you can exercise your data protection rights according to the following Privacy Policy

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A Day in Ubiqum

A TYPICAL DAY IN THE LIFE OF AN UBIQUM DATA ANALYST MIGHT LOOK SOMETHING LIKE THIS:

9:00

Plan your day's tasks in Trello

9.30

"Scrum" standup meeting

Data Analytics Course
10:00

Analyse data in R

Data Analytics Course
12:30

Review your insights with a mentor

Data Analytics Course
13:00

Extract conclusion and recommendations

Data Analytics Course
14:00

Lunch

Data Analytics Course
16:00

Prepare compelling visualisations

Data Analytics Program
17:30

Present your findings to the group

Data Analytics Course
The skills that you learn at Ubiqum are very relevant in the current job market.

Miquel Zelich
Business Analyst for MEDIAURBAN

Meet the Mentors

Our team of mentors is made up of people who are passionate about data analytics. This isn’t simply a job for them, for many, coding has transformed their lives and they are keen to pass on what they know so you too can experience what they do. Receptacles of knowledge, they are here to guide you in your learning process.

Daniel Castejón Data Analytics Mentor DANI
Sara Marín Data Analytics Mentor SARA
Ignacio Solteras Data Analytics Mentor IGNACIO
Merce Merayo - Data Analytics Mentor MERCÈ
Ester Bernadó - Data Analytics Mentor ESTER
Iva Kuncheva IVA
Joan Claverol - Ubiqum Mentor JOAN
MARTINA

Start Dates and Tuition

A new Data Analytics program starts every month in our offices in Barcelona, Berlin and Amsterdam.

We don’t want financing to be an obstacle. Let’s discuss your options!

Price

50/50 Agreement

Pay 50% when you start and the rest when you get hired!

More info

Payment Plans

We have a number of payment plans that adapt to each person

More info

FAQs

What is the completion rate and student satisfaction?

Our experience and data have shown:

– Completion rate of 98%

– Employment rate of 96% (within two months of completing the course with full-time competitive salaries).

– Student Satisfaction. You can read our students’ testimonials for a better idea of Ubiqum’s results. Everything we do is to help you start your professional life as a Data Analyst, Web Developer, or Mobile Developer. If you put in your best effort, we will do the rest.

We are confident in our methods and content, demonstrated in the fact that we offer an employment guarantee which allows students to pay only half their tuition at the beginning of the course and the rest only once they’ve successfully secured employment.

What is Ubiqum Code Academy’s learning methodology?

Ubiqum uses an immersive project-based curriculum develop by experts from Northwestern's Institute of Learning Sciences. Our learning methodology focuses 100% on “learn by doing”. You will work on projects similar to those you’ll find on the job and complete them using the same tools used by professionals currently in Developer positions. A mentor will be available at all times to provide help and evaluate your work. We offer you a supportive and engaging work environment, where you can feel free to make mistakes and learn from your experiences. This will fully prepare you to think like a coder.

How much access do students have to the mentors?

"Mentors are full-time Ubiqum staff who are onsite every day. Typically, a student will have 1-2 15 minute personal sessions a day, and this is complemented by ""scrum"", the daily stand up, and group code reviews facilitated by the mentors. They also lead guided discussions, or ""spikes"", around shared topics, such as complex problems that multiple students are working on.

If you would like to speak to any of our mentors, they would be more than happy to discuss the course with you. Please speak with our Admissions Team to organise a video teleconference or visit."

Talk to Us

Ready to discuss a potential future in Data Analytics? Our Career Advisors are here to help you plan your next steps

Gianluca Caria

GIANLUCA

NADIA

SHMULIK

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