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Graduate Certificate in R Programming
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- Introduction to R Programming and Data Structures
- Data Wrangling with dplyr and tidyr
- Data Visualization with ggplot2
- R for Statistical Computing and Modeling
- Advanced R Programming Techniques
- Working with Big Data in R
- Reproducible Research with R Markdown
- Shiny: Building Interactive Web Applications in R
CareerPath
Career Role Description Data Scientist (R Programming) Develop and implement statistical models using R for data analysis and machine learning in various industries.
High demand for R programming skills.
Data Analyst (R focused) Extract insights from complex datasets using R.
Strong data visualization skills with R are essential.
Quantitative Analyst (R proficient) Build and test financial models using R.
Requires advanced statistical modeling and R programming expertise.
Biostatistician (R specialist) Analyze biological data using R, including clinical trials and epidemiological studies.
Extensive experience in statistical analysis with R is required.
Business Intelligence Analyst (R user) Develop reports and dashboards using R to support business decision-making.
Familiar with data manipulation and R programming .
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- NotAccreditedRecognized
- NotRegulatedAuthorized
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- ThreeFourHoursPerWeek
- EarlyCertificateDelivery
- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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