HANDS-ON WORKSHOP ON Day of Discovery in Data Science with R programming
The Department of Information Technology organized a Hands-On workshop for III Year students on “Discovery in Data Science with R programming” on 26th October 2024 at IT Lab, Sesha Sai Block, ACE Engineering College, Hyderabad. A total of 62 students attended the workshop. In just one day, our R Programming Workshop offered participants a fast-paced, hands-on introduction to data analysis. This intensive session was crafted to demystify R programming and empower attendees with essential skills for analyzing and visualizing data. Ideal for beginners and those with a curiosity for data science, this workshop blended core concepts with real-world applications, all under the guidance of experienced instructors. The Workshop started with the welcome address and importance of Data Science with R programming by Prof. K. Jaya Bharathi, HOD-IT. Mr.S.Venugopal Assistant Professor delivered the concepts of Data Science with R programming
What We Covered
The workshop was structured to cover the essentials that would set participants up for success in R:
- Getting Started with R and RStudio: Participants learned how to set up and navigate RStudio, exploring R’s basic syntax and structure.
- Data Cleaning and Preparation: Using practical examples, attendees discovered how to clean, filter, and manipulate data – a crucial skill in data analysis.
- Visual Storytelling with ggplot2: The group then dove into data visualization, creating clear, compelling graphs and charts to illustrate data findings.
- Introduction to Statistical Analysis: Finally, participants were introduced to basic statistical concepts, empowering them to uncover patterns and insights in their data.
Key Takeaways
After a day of learning and practice, participants left with:
- Confidence in R Basics: A strong grasp of R syntax and the essentials of working in RStudio.
- Hands-On Data Skills: Practical experience cleaning and organizing data, which is key for any data-driven project.
- Visualization Techniques: The ability to create simple but powerful visuals to communicate data insights effectively.
- Introductory Statistical Knowledge: An understanding of how to start analyzing data patterns and trends with R.