This course is designed to equip students with essential skills in data analysis using R, covering data manipulation, visualization, and statistical analysis. It is structured for beginners while providing valuable insights for those with prior experience.
Career Prospect : Data Analyst, Research Analyst, Business Intelligence Analyst
Beginner
30 hrs | 15 days
NPR 15,000
Session 1: Excel Fundamentals
Session 2: Data Cleaning & Preprocessing in Excel
Session 3: Introduction to R & Project Kickoff
Session 4: Understanding Deviation & Variability
Session 5: Data Manipulation in R
Session 6: Data Visualization
Session 7: Statistical Analysis
Session 8: Trend Analysis & Predictive Modeling
Session 9: R Markdown for Reporting
Session 10: Capstone Work & Group Analysis
Session 11: Finalizing Capstone Projects
Session 12: Final Presentations & Closing
Your instructor for the course
Research Associate and Data Analyst
Meghanath Dulal is a research associate and data analyst at King’s College-Center for Research and Development (CERAD) specializing in investment and economics and has a strong proficiency in R for data analysis. He has contributed to numerous impactful projects, including the CSEB Interlocking Bricks Impact Assessment, where he served as a data analyst in Phase I (2022), project lead in Phase II (2023), and both a data analyst and report analyst in Phase III (2024). He was also the focal point for Key Informant Interviews and played a key role in a feasibility study on green tax in Karnali, commissioned by GIZ. His expertise extends to leading the Market Study for the Deli, co-leading a value chain analysis of large cardamom, and analyzing data for the Feasibility Study of Bamboo for Rooftop Gardening and Glamping. With strong analytical skills and experience in R, and SPSS, Meghanath is an efficient and detail-oriented data analysis and research professional.
Research Officer
Sagun Baba Shrestha is a Research Officer at Kings Center for Research and Development (CERAD) at King’s College and specializes in qualitative research, including conducting interviews, facilitating focus group discussions, and data collection. She is an expert in data analysis with previous experience in R training, equipping her with strong analytical and statistical skills. Sagun played a key role as a co-lead for the domestic market assessment of the value chain analysis of large cardamom, an initiative by FAO, and contributed as a researcher and case study developer for the impact assessment report for Build-Up Nepal Engineering. Her professional background includes being a founding member and Sales and Marketing Executive at Epic Bags Nepal. With a strong foundation in research methodologies and data analysis, Sagun delivers impactful and high-quality research outcomes.
