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Advance Your Data Skills with Our Online R Programming Workshop
In an era where data drives decision-making, proficiency in R programming is a valuable asset for researchers, analysts, and professionals across disciplines. This carefully designed online workshop offers a structured introduction to R, guiding participants from fundamental concepts to advanced data manipulation and statistical analysis.
The course begins with essential skills such as navigating RStudio, importing and cleaning data, and exploring key packages like tidyverse and dplyr. Participants will progressively develop capabilities in data wrangling, transformation, and visualization, applying these skills through hands-on exercises with real-world datasets.
Building on this foundation, the workshop introduces programming constructs like functions and loops, and covers important analytical techniques including hypothesis testing and data modeling. This comprehensive approach ensures participants not only learn R syntax but also develop a practical understanding of its application in research and data-driven projects.
Delivered entirely online, the workshop combines expert instruction with interactive learning, making it accessible and effective for a diverse range of learners. Upon completion, participants will receive a certificate recognizing their newly acquired competencies in R programming and data analysis.
WOKSHOP INSTRUCTORS
Click the link to view the flyer: R – Programming [IIMAD]
Target audiences
- Graduate and Doctoral Students
- Early-Career Researchers and Academics
- Research Analysts in Development and Policy Organizations
- Educators and Faculty Members
- Aspiring Data Scientists and Tech-Savvy Learners
Requirements
- Interest in Data Analysis or Research
- Stable Internet Connection
- Access to a Personal Computer or Laptop
- Commitment to Attend and Participate
Curriculum
- 4 Sections
- 19 Lessons
- 3 Days
- INTRODUCTORY SESSION [Workshop Instructor: Ajay P Karuvally | July 28 | 6: 30 pm to 9: 30 pm]9
- DATA WRANGLING [Workshop Instructor: Ajay P Karuvally | July 29| 6: 30 pm to 9: 30 pm]4
- ADVANCED ANALYTICS [Workshop Instructor: Ajay P Karuvally | July 30 | 6: 30 pm to 9: 30 pm]6
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Instructor
