This Data Analytics course offers a practical and personalized approach, ideal for both professionals with technical experience and those with a business profile. Throughout 480 hours of intensive work, you will be supervised by a personal mentor and will work on three projects, where you will learn to use Python, R and SQL to analyze large volumes of data. You will also acquire an advanced mastery of the main Machine Learning algorithms and the creation of advanced analytical models.
The bootcamp is designed so that you can immediately apply the knowledge acquired in your current work environment or start a new career as a Data Analyst, with a flexible and practical methodology from day one.
This Data Analytics course at Ubiqum is designed to offer you practical training focused on the development of key skills for the professional world. Throughout the program, you will work on three real projects, which will allow you to gain the necessary experience to start your career in Data Analytics and Machine Learning. The training is fully geared towards preparing you for the challenges of the workplace, ensuring that you will be able to apply the knowledge acquired from day one in a professional environment.
In the first project of this Data Analytics course, you will assume the role of a data analyst in a retail company. This module will focus on applying data mining and machine learning techniques to identify patterns in sales, as well as extracting valuable information about customer trends and preferences. You will use advanced Python and SQL libraries during the analysis. The experience you gain will enable you to understand the entire data analysis process, from identifying the business problem to creating models and presenting recommendations based on the results.
In the second module of this Data Analytics course, you will assume the role of Data Scientist and face a new challenge. Your objective will be to identify customer attributes that are significantly related to non-payment situations. To do so, you will have to build a predictive model that improves customer classification compared to previous models, using regression methods. Upon completion, your work will be submitted in the form of a Jupyter Notebook, a Python tool, and submitted to your GitHub account for review.
In the third module of this Data Analytics course, you will face a new challenge focused on expanding the application of data mining methods for the development of predictive models, using R as the main tool.
Your task will be to apply machine learning techniques to predict which computer product brands customers prefer, based on demographic data collected from a marketing survey. The ultimate goal of this analysis is to identify associations between products that can be used to drive sales. As a student, you will have the opportunity to design and implement a recommendation system similar to those employed by e-commerce companies such as Amazon.
The structure and methodology of our Data Analytics and Machine Learning course are designed to offer you flexibility. This allows you to combine different elements of the course according to your needs and, if necessary, make changes throughout the program based on your personal situation.
This Data Analytics course is geared towards individuals who wish to maintain their current employment while preparing to advance or change their career path. The required dedication is approximately three hours per day, Monday through Friday, with flexibility in schedules, except for meetings with the mentor, which will be held according to a fixed schedule. In addition to the scheduled sessions, you will have the availability of your mentor to provide support when you need it, ensuring that you have guidance throughout your learning process.
Este curso de Data Analytics se ofrece en un formato online, lo que te permite trabajar desde casa mientras mantienes contacto constante con tu mentor a través de Slack, correo electrónico y videollamadas. Este enfoque es especialmente beneficioso para quienes desean conservar su empleo actual y al mismo tiempo mejorar su trayectoria profesional. Además, es una excelente opción para aquellos que viven en áreas donde no hay acceso a un campus presencial.
Select the combination that best suits your needs in this Data Analytics course. If you have any questions, feel free to consult with our career advisors.
The Data Analytics and Machine Learning courses we offer are organized on a project basis, which have been designed by our product team with an educational approach. These courses are 100% practical and are oriented to prepare students for the professional environment.
All of our students are proof of the deep learning they have achieved at Ubiqum, thanks to our innovative and highly effective methodology.
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The “Boosting My Career” job search program is part of our Data Analytics course, and is designed to help our students launch their new digital career. Ubiqum’ s courses offer deep and lasting learning, complemented by essential activities to facilitate your access to new employment.
Our commitment does not end until you start yours.
If you pay in full before the start of the course, we offer you a discount and you get the best price. 5% for online and 10% for on-campus.
You pay 50% before the start of the course and the rest in monthly installments during the course. No additional cost.
This format allows you to pay in monthly installments.
Start the course now and pay when you start your new job.
(*) Qualifying conditions
*Requirements: | Between 22 and 35 years of age | Higher Education Degree (STEM is valued) | A good level of English | Stable residence in Spain | Work permit for the EU | A valid work permit for the EU | A good knowledge of English | A good level of English | A stable residence in Spain | A work permit for the EU
