University Microcredial Data Analytics + 1 ECTS Credit
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Syllabus
Curriculum
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 opportunities
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 to?
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.
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Certification
Data Analytics University Microcredial Degree with 25 hours and 1 ECTS issued by UNIMIAMI
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