Job Description:
We are seeking someone experienced in R Studio to provide personalized training for a student aiming to develop proficiency in R for statistical analysis and data visualization. The training will focus on teaching essential R skills that will enhance the student’s employability by equipping them with practical, hands-on knowledge applicable to research and data-driven roles.
Training Objectives:
1. Statistical Analysis:
– Teach how to perform common statistical tests in R, including t-tests, Chi-square tests, ANOVA, regression analysis, and correlation.
– Explain the concepts behind these tests and guide the student through implementing them on real datasets.
– Discuss how to check for assumptions of statistical tests and handle different types of data (e.g., categorical vs. continuous).
2. Data Visualization:
– Instruct on creating effective and visually appealing graphs and plots.
– Cover the design of bar charts, box plots, scatter plots, line graphs, and other visualizations to communicate data insights clearly.
– Show how to customize plots, add labels, and use color schemes for better data interpretation.
3. Data Management and Manipulation:
– Demonstrate techniques for filtering, summarizing, and reshaping data to prepare it for analysis.
– Explain how to import data from various formats (e.g., CSV, Excel) and manage data frames efficiently.
Desired Outcomes:
By the end of the training, the student should be able to:
• Confidently perform and interpret basic to intermediate-level statistical analyses in R.
• Create and customize data visualizations to effectively present findings.
• Manage and manipulate datasets using R Studio for efficient analysis.
• List R Studio as a technical skill on their CV, demonstrating competence in statistical analysis and data visualization.
• Be familiar with the R Studio environment and basic programming concepts to continue learning independently.
Location: Remote
Employment Type: Part-time
Salary: 500 PHP/hour
How to Apply:
Send your resume, portfolio, and a brief cover letter highlighting your experience to [email protected]. Include links to any relevant projects, GitHub repositories, or personal websites.
