University Microcredial Data Analytics + 1 ECTS Credit





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Temario
Plan de estudios
Summary
Data science is a discipline that combines the use of statistics, computer science and knowledge of the domain to extract valuable information from the data. Data science has become an essential tool for companies and organizations that want to improve their decision -making, their innovation and competitiveness. In Data Analytics, you will learn the basic concepts of data science, the necessary tools for data analysis such as the use of Python and its main bookstores for data analysis, such as NUMPY, Pandas, Matpletlib or Scikit-Learning, and how to apply them to different practical cases. In addition, you will know the legal aspects that you must take into account to protect data and privacy.
Goals
Professional exits
To prepare you
Data Analytics prepares you to become a data scientist capable of handling, analyzing and interpreting data with Python and other tools. At the end of the course, you will be able to carry out data science projects from zero, using the most appropriate techniques and methodologies for each case. You will also be able to communicate the results of your analysis clearly and effectively, using graphics, tables or reports.
Who is it addressed
Data Analytics is aimed at all those who want to start in the world of data science and data analysis. Prior programming or statistical knowledge is not required, although it is recommended to have a mathematical and logical basis. The course is designed to offer a theoretical and practical introduction to data science.

Our methodology combines technology, pedagogy and empathy for a tailored learning.
You mark the rhythm, you decide the way and an artificial intelligence accompanies you to learn better, with meaning and purpose.

Realized personalized learning
Your style, interest and level define the route. You are the starting point.

Constructivism in action
Explore, experience and apply. Learning means understanding, not memorizing.

He who accompanies you, not who directs you
Phia, our artificial intelligence assistant guides you without limiting your autonomy.

Evaluation without pressure
Continuous and adaptive feedback. Because learning is a process, not a figure.
Certificación

Data Analytics University Microcredial Degree with 25 hours and 1 ECTS issued by UNIMIAMI
EDUCAHUB Scholarships
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In Eduahub we believe that education must be available to everyone. Therefore, we offer a scholarship plan that facilitates your access to practical, current and quality training, eliminating economic barriers.
-25%
Alumni Scholarship: For former students of Eduahub.
-20%
Unemployment scholarship: if you prove to be unemployed.
-20%
Numerous family scholarship: for families with 3 or more children.
-20%
Disability scholarship: For people with disabilities ≥33%.
-15%
Emprende Scholarship: For self -employed that accredit your activity.
-15%
Scholarship recommends: If you come recommended by an alumnus.
-15%
Group scholarship: For joint inscriptions of 3 or more people.

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