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.
Part 1: Machine Learning for Retail (3.000€)
Part 2: Internet of Things (2.000€)
Course Dates: Jun 5 – Dec 22 2017
Promotions: Sign-up for both parts and save 1.000€ !
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.
Some companies that hired our students
GeenappEnhanced Analytics for Mobile Advertising
GFTInternational IT Consulting
MOCALocation-based mobile engagement platform
What you will learn
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.
Who Should Take Our Program?
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.
The course by weeks
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.
"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 WEKA 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. "