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Data Analyst Part-Time

Become a Data Analyst with this Remote Learning program.

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Distance Learning

15hours a week, with personal mentor support

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100% Practical

Learn by doing with real world tasks.

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Career Support

Guidance and advice on advancing your career.


Curriculum

In 450 hours, we take beginners with zero experience and turn you into a Data Analyst. This is a remote online course, in which you will have regular videoconference sessions with the mentors to guide you through the program.

 

Skills: Predictive Analytics, Statistical machine learning techniques, Language R, Data Visualisation, Business orientated analysis, Live presentations to defend analysis. 

Language: English

Price: 5.000€  (multiple payment options available)

Promotions: We do offer grants and promotional pricing. 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.

Careers

Some companies that hired our students




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
Week 1-10FE4FAE4A-15B8-46D5-9AE3-85BE6B6A7D4E

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.

Week 11-20FE4FAE4A-15B8-46D5-9AE3-85BE6B6A7D4E

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.

Week 21-30FE4FAE4A-15B8-46D5-9AE3-85BE6B6A7D4E

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.

Ubiqum Student 2016

"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. "


Caroline Grundy
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