Data Analysis for Estimation of Unknown Concentration
Online workshop
Online workshop: Data Analysis for Estimation of Unknown Concentration
Join us for a comprehensive online workshop focused on practical data analysis skills for estimating unknown concentration, ideal for students and professionals in life sciences. Hosted by Dr. Shubham Sutar, this workshop blends essential statistical methods with theoretical background and hands-on Excel tutorials. Successful participants will receive a certificate upon course completion.
Workshop Description:
This workshop will guide participants through the steps required to analyze experimental data for estimating unknown concentration. Focus will be given to:
- Understanding the theoretical foundation of data analysis and estimation
- Mastery of statistical calculations including mean, standard deviation (SD), and standard error of the mean (SEM)
- Utilization of Microsoft Excel for efficient data handling, processing, and analysis
- Applying and interpreting the linear equation Y = mX + C for data modeling
- Creating and formatting scientific graphs, including chart elements and text enhancements
- Interpreting and presenting results in a scientific context
Schedule & Format:
Date: Sunday, September 14, 2025
Time: 10:00 – 11:00 AM IST (Indian Standard Time)
Platform: Online Google Meet (link will be provided upon registration)
Host: Dr. Shubham Sutar
Session
- Welcome & Overview
- Theory: Principles of Concentration Estimation
- Statistical Analysis: Average, SD & SEM
- Excel Workshop: Practical Data Analysis
- Live Q&A and Feedback
Additional Details:
- Q&A Session: Interact live with Dr. Shubham Sutar to resolve queries.
- Certification: All attendees will receive an official certificate of participation after the course.
Don’t miss this opportunity to enhance your data analysis skills!
Host details
Dr. Shubham Sutar
PhD Biotechnology
Author "Theory of Pore Conflation" and "Shubhjyot's Equation"
Expertise: Wastewater Treatment; Biochar Technology; Bioremediation; Phytoremediation
Profile Links: Google Scholar, Scopus, ORCiD, Web of Science, The Lens