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Introduction and programming in R language, easy and dynamic.
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R is a programming language used for biological data analysis and statistics. Here we will help you develop skills in using the R language through R Studio, an interactive, graphic and specialized software. With this, you will learn to manage biological databases, generate statistical graphs and program in this language.Extra information
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Stable Internet availability and good computer equipmentLocation
Online via webcam
General info
Age: | Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
---|---|
Student level: | Beginner Intermediate |
Duration: | 60 minutes |
The class is taught in: | Spanish, English |
About Me
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I am a professional who has taught classes on various topics (Biology, Chemistry, Physics, Mathematics, Programming). Seeing the potential of the R language in my professional field, I specialized with several courses to apply them in my degree project, obtaining satisfactory results. My pedagogical approach relies on clarity, patience, and adaptability to help students understand and effectively apply programming principles. I have a passion for transmitting knowledge and promoting the growth of my students in the world of technology.Education
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Biotechnologist Engineer with experience in using the R language, specifically for the analysis of biological data. I have experience in programming in the R language during my degree work.Experience / Qualifications
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I have a certificate in Programming in the R language as well as several courses completed in the same field, which have allowed me to advance in my professional field.Descriptive presents information in a concise manner, while inferential uses techniques to make predictions and decisions based on data. These disciplines are essential to understand and apply statistical analysis in various areas.
By studying descriptive and inferential statistics, students can develop fundamental skills, including:
-Understanding of basic statistical concepts.
-Ability to organize, summarize and visualize data.
-Interpretation of measures of central tendency and dispersion.
-Application of sampling techniques to collect representative data.
-Mastery of methods to make inferences and hypothesis tests.
-Skill in the use of statistical software for data analysis.
-Ability to communicate results clearly and effectively.
-Critical thinking to evaluate the validity and relevance of statistical results.
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from 78.75 QAROnline via webcam
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Online reputation
- Instructor since September 2023
- Google connected
- Linkedin connected
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(GMT -04:00) New York
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from 78.75 QAROnline via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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