Data Analytics & Machine Learning

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 a data analyst."

Got a question?

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

R

dplyr

ggplot2

Python

Amazon Web Services

Statistics

Machine Learning

Data Mining

Algorithms

Rapid Miner

Agile

Projects You'll Work On

Project 1

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!”

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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!"

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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 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."

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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