R Programming Online Trainer

We are looking for a highly skilled and passionate R Programming Online Trainer to join our training team. The ideal candidate should have in-depth knowledge of R programming, statistical analysis, and data visualization, along with the ability to deliver engaging online sessions to learners of various skill levels. As an online trainer, you will be responsible for designing course content, delivering interactive training sessions, and mentoring learners to achieve their learning goals in R.

Roles & Responsibilities:

• Deliver high-quality online training sessions on R programming, data analysis, and visualization.
• Design, prepare, and update course materials, assignments, and case studies.
• Explain R programming concepts such as data types, functions, control structures, loops, and packages in a clear and simplified manner.
• Teach advanced R topics including data manipulation, statistical modeling, machine learning, and integration with other tools.
• Provide hands-on exercises, real-world use cases, and project-based learning.
• Track learners’ progress and provide feedback, guidance, and support.
• Stay updated with the latest trends in R programming, data science, and analytics.
• Foster an interactive and engaging virtual learning environment.

Required Skills & Qualifications:

• Strong proficiency in R programming with practical knowledge of data analysis, visualization, and statistical techniques.
• Experience with libraries/packages like dplyr, ggplot2, tidyr, caret, Shiny, and others.
• Good understanding of data science workflows, machine learning concepts, and statistical methods.
• Excellent communication and presentation skills.
• Ability to explain complex concepts in a simple, learner-friendly manner.

Educational & Professional Requirements:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related field.
• Industry experience in data analysis, data science, or R programming projects is an added advantage.