What is Data Science?
July 26, 2024
Data Science. Just 10 years ago nobody was talking about this topic and today it is one of the areas in which the demand for expert professional profiles is growing the most.
You will gain knowledge of the data analysis and machine learning tools and methods used by experts in the field, including SQL, R, Python and leading machine learning algorithms.
480 hours.
3 months full time or
6 months part-time
This course is designed for people with little technical experience who wish to take their first steps in data analysis.
Through a practical and personalized approach, with the support of a mentor, you will develop three complete projects. You will learn how to program in Python and SQL, as well as how to handle and manipulate data structures (datasets).
In the third module, you will become familiar with the advanced use of Power BI, a highly demanded tool in the market.
The Power BI module will enhance your employability in today’s work environment, while the knowledge acquired in Python, SQL and machine learning will place you at an advanced level within the Business Intelligence field, all backed by Ubiqum’s expertise.
480 hours.
3 months full time or
6 months part-time
This course is geared towards people with technical and/or deep business experience, providing them with a solid level of knowledge that they can apply in their current job or use to start a career as a data analyst.
This is a hands-on, personalized learning program. Together with your personal mentor, you will carry out three complete projects. You will learn how to program in Python, R and SQL, as well as how to handle and manipulate large and complex data structures. At the end, you will have reached an advanced level in creating analytical models using the main Machine Learning algorithms, all supported by Ubiqum.
600 hours.
4 months full time or
8 months part-time
This advanced course is aimed at individuals with a STEM background who are looking to pursue a technical career in data science.
Throughout the program, you will delve into Python, exploring its fundamentals, syntax and data manipulation techniques. You will learn about modeling and machine learning using tools such as class rebalancing, scaling and dummifying and advanced techniques such as cross-validation and hyperparameter tuning. You will also acquire solid knowledge in R, focusing on syntax and advanced modeling techniques, such as multiple regression and random forest.
In addition, you will delve into time series analysis with R, perfecting your forecasting skills. You will expand your technical knowledge with methods such as bagging, cascade models, complexity reduction techniques such as PCA, regularization techniques (L1 and L2) to avoid overfitting and stacking and voting to take your models to the next level, all under the expert guidance of Ubiqum.
Our Data Analytics Courses are designed to train students in digital skills that will open doors to new and better career opportunities in highly skilled jobs. What we offer is unique compared to other programs available. Ubiqum’s courses stand out for:
Our courses are organized around highly structured projects, designed by our product development team, to reflect real-life situations in the professional environment. Throughout the course, students are not limited to theoretical lectures, but focus on active practice and active learning. In this highly organized work environment, students have the constant support of a personal mentor who accompanies them throughout the process, ensuring that they make the most of every stage of their training.
At Ubiqum, each student is assigned a personal mentor and has a personalized work plan. This plan includes the projects to be carried out, the start and end dates, the deliverables for each task and a schedule of meetings with the mentor. For full-time data analysis courses, we estimate a daily dedication of 8 hours from Monday to Friday, while for part-time students, who combine the course with their job, the workload is approximately 3 hours per day.
At Ubiqum, we know how difficult it is to combine professional and family life with learning new skills. That’s why we give a lot of importance to your time availability. You can start the course whenever you decide, without depending on large groups with a single teacher. You will have a work plan tailored to you, with a personal mentor and a schedule specifically designed to fit your needs and learning pace.
At Ubiqum, each student is free to organize his or her schedule at his or her convenience, as long as he or she complies with the established hours of dedication, deadlines and meetings with his or her mentor.
In addition, it is possible to change from full-time to part-time (and vice versa) by simply requesting it to the Ubiqum administration.
If a student encounters personal or professional problems during the course, he/she can request a temporary leave of absence and resume training at a later date, with Ubiqum’s support.
Courses can also be delivered in modules, allowing the content to be tailored to the individual needs of each student.
Ubiqum offers flexibility in the completion date, so that those who need more time to complete the course can extend the completion date in agreement with their personal mentor.
At Ubiqum, we don’t ask you to commit without prior experience. That’s why we offer a two-week free trial so you can explore the course and get a first-hand look at its content and methodology before registering and paying for it.
Don’t miss this opportunity to advance your professional development with Ubiqum!
Differentiate yourself in your career field: In an increasingly competitive job market, Data Analytics skills are not just an asset, they are a necessity. Whether you work in finance, engineering, marketing or sales, having these skills will allow you to stand out from your peers and significantly expand your career opportunities.
Increase and improve your decision-making capabilities: Mastering Data Analytics empowers you to make informed data-driven decisions, which will not only increase your confidence in the process, but also open doors to Top Management.
Applicability across multiple industries: Data Analytics skills are extremely transferable and can be applied in a variety of areas, from technology and healthcare to finance and marketing, which will greatly increase your employability.
Immerse yourself in digital transformation: Learning Data Analytics not only makes you a more valuable professional in an ever-evolving business environment, but also positions you at the forefront of digital transformation.
Don’t miss the opportunity to empower your career with Data Analytics and lead your way to success in your industry! Your career advancement is just a step away; start your Data Science and Machine Learning training tomorrow if you want to!
Since launching in 2016, Ubiqum has undergone a remarkable transformation in the way we deliver our data analytics courses. Initially, we operated with a traditional bootcamp format that grouped 15-20 students, all progressing together in the same course. However, we have evolved to a more flexible and personalized model, adapting to the time needs of our students through a one-on-one mentoring service.
Our methodology focuses on real and structured projects, allowing students to face situations and tasks that they will encounter in the workplace when starting their career in the digital environment. In addition, we offer the continuous support of a personal mentor, which guarantees effective and personalized learning, along with the necessary time flexibility so that each student can advance at his or her own pace.
“Boosting My Career” is the job search program included in the course, designed to help our students take their first steps in their new digital career. Ubiqum’s courses offer deep and lasting learning, complemented by essential activities to facilitate your access to a new job.
Our commitment extends until you initiate yours.
Data Science. Just 10 years ago nobody was talking about this topic and today it is one of the areas in which the demand for expert professional profiles is growing the most.
Data science is an area of knowledge and professional practice that encompasses three distinct profiles but with important areas of overlap.
When we started Ubiqum in 2016, Data Science was a very new concept and today there is still some confusion. So let’s start by clarifying which professional roles have a role in the field of Data Science.
One of the trendy concepts nowadays is Artificial Intelligence in its Data Science and Machine Learning aspects. However, there are few non-specialists who know how to clearly define what we are talking about when we talk about a Machine Learning course.
