Data Science Diploma
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Syllabus
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Summary
Thanks to this diploma in data science you will have deep knowledge from the foundations of data science, to the practical application of key tools. The approach to relational databases and NOSQL, along with data analysis in Python and R, provides a balanced vision. The inclusion of Mongodb and the use of programming languages such as Python and R reinforces practical applicability. In addition, care in the preproduction and data processing with emphasis on ETL (extraction, transformation and load) and hypothesis tests, will prepare you enough for the challenges in the projects you have of data science. In addition, you will have a teaching team specialized in the field.
Goals
Professional opportunities
To prepare you
This diploma in data science prepares you to highlight in the field of data science, providing relations in relational databases and NOSQL, data analysis with Python and R and advanced processing and preproduction techniques with ETL. At the end, you will be equipped and you will have confidence to face the challenges of data science that arise in your career.
Who is it addressed to?
This Data Science Diploma is designed for IT students and professionals, developers, data analysts and any person interested in the field of data science. No previous knowledge is required, making it accessible to beginners, but also valuable for those who seek to improve their skills.
Our methodology combines technology, pedagogy and empathy for learning tailored to you.
You set the pace, decide the path and artificial intelligence accompanies you so that you learn better, with meaning and purpose.
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Your style, interests and level define the route. You are the starting point.
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Evaluation without pressure
Continuous and adaptive feedback. Because learning is a process, not a number.
Certification
Diploma Title in Data Science issued by the Hemisphere University in collaboration with the European Institute for Business Studies (INESEM)
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