Applied mathematics course and statistics for data analysis




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Temario
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Summary
In an environment more and more data oriented, the insightful analysis becomes fundamental. The course "Applied Mathematics and Statistics for Data Analysis (with R)" is designed to strengthen analytical competence, exploring from fundamental concepts to advanced modeling techniques. With a structure that addresses basic statistics, regression and classification models, as well as the specialized study of conglomerates and temporary series, participants will dominate methods to unravel patterns, predict trends and make informed decisions. By using R, a powerful tool in statistical analysis, students will familiarize themselves with relevant practices for varied scenarios, gaining a robust analytical perspective that is highly valued in various sectors. This online course is a vital step for those who aspire to interpret and manipulate data with confidence and precision.
Goals
Professional exits
To prepare you
The course "Applied Mathematics and Statistics for Data Analysis (with R)" Transfer to handle fundamental statistical and mathematical tools, focused on the analysis and display of data through R. You will deepen regression models, classification techniques, conglomerate analysis and temporary series, allowing you to interpret large volumes of information and develop predictive models. You will learn to draw relevant conclusions and apply essential analytical methods in various data contexts.
Who is it addressed
Aimed at those who seek to base their analytical skills, this course offers statistical techniques and R R Domain for data analysis and visualization. You will learn about regression, classification, conglomerate analysis and temporary series, perfecting the evaluation of models and the interpretation of large volumes of information. Ideal for those who want to develop a solid base to make data -based decisions.

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Evaluation without pressure
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Certificación

Applied mathematics course and statistical course for data analysis with 200 hours issued by Structuralia

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