Learn Data Analytics & Machine Learning Online

Program Details

PROGRAM OVERVIEW

Get the skills for your first job as a professional data analyst in as little as 5 months. Ubiqum's online format allows you to attend full-time or part-time, as well as choosing between the full course or one of three parts individually depending on your time, needs and ambitions.

The program covers the full business data analysis cycle, working from a business case in a simulated real situation you will learn how to build and prepare a data set using Python and R, model the problem using the most common Machine Learning algorithms, analyse results and converting your findings into business recommendations. These are the skills that any senior executive of the digital economy will need to progress in the management career.

MEET YOUR MENTOR

"During the Data Analytics 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 training the students to think like a professional data analyst."

Want more info?

What You’ll Learn

I learnt more in one month of training at Ubiqum than I did in the nine months studying my master’s degree.

R and Python

The R and Python programming languages are the most straightforward languages in use by data scientists and the best languages to learn to develop good data models. They remain essential for almost all jobs in data analysis and data science.

At Ubiqum, you will become fluent in both and will be prepared to work in teams from the two main schools of data science: those who prefer R and those who prefer Python.

Both R and Python have tools that will help you in the pre-processing phases of a project — cleansing and completing data — and they will provide the most commonly used Machine Learning algorithms in classification, regression, visualization and time series analysis. These tools are essential to reach the position of data analyst you aspire to.

Python

dplyr

ggplot2

Amazon Web Services

Statistics

Machine Learning

Data Mining

Algorithms

Agile

Project 1

Develop regression and classification algorithms in Python to analyze 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. The conclusions drawn from the patterns in the data will help the business make data-driven decisions about sales and marketing activities and understand the relationship between customer demographics and purchasing behavior. All this will be achieved using Python, a powerful Data Mining tool.

Predicting Profitability

Aurore Paligot

“In just one week in the Data Analytics Course, 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

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

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

In the final month of the Data Analytics Course, you may 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."

Fill in the form to receive the full syllabus

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

Miquel Zelich
Business Analyst for MEDIAURBAN

Start Dates and Fees

Limited places. Reserve your spot on our online Data Analytics & Machine Learning program.

Upcoming bootcamps:
17 January
21 February
11 April

Fees

The full cost of the course is €7200

Payment Plans

We don’t want financing to be an obstacle:

Check out our payment options.

Apply Now

Can’t wait to start your program?

Start your application today!

FAQs

What is the completion rate and student satisfaction?

Our experience and data have shown:
– Completion rate above 90%
– Employment rate above 92% (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 commitment formula (Income Share Agreement) which allows those students who qualify to pay only once they’ve successfully secured employment.

What is Ubiqum Code Academy’s learning methodology?

Ubiqum uses an immersive project-based curriculum developed by experts in Learning and Cognitive 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 data science 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 one 15-minute personal session 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. You will learn how to work autonomously but you'll never feel lost.

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.