Bio-Statistical Analysis of Research Work
Fundamentals of Biostatistics Data Collection & Management Descriptive & Inferential Statistics Hypothesis Testing & Statistical Modeling Software Training Data Visualization & Interpretation

BIOSTATISTICAL ANALYSIS OF RESEARCH WORK

This course provides essential training in biostatistical methods used for analyzing and interpreting biological and medical research data. Participants will gain hands-on experience with statistical tools and software to ensure accurate and meaningful research outcomes.

Biostatistical methods used for analyzing and interpreting biological and medical research data.

Learn basic and advanced statistical concepts relevant to life sciences.

Explore molecular docking, virtual screening, and AI-driven approaches to identify and optimize drug candidates before laboratory testing.

Understand how to organize and preprocess research data efficiently.

Master techniques like mean, median, standard deviation, t-tests, ANOVA, and regression analysis.

  • In-Silico Vaccine Technology
  • In-Silico Drug Designing
  • In-Silico Mutational Analysis
  • In-Silico Pharmacology

Learn how to validate research findings using probability models and statistical tests. Hands-on practice with statistical tools such as SPSS, R, Python, and GraphPad Prism.

Develop skills to present research findings effectively using graphs, charts, and tables.

This course is ideal for students, researchers, and professionals in biotechnology, life sciences, and medical research looking to enhance their data analysis and statistical interpretation skills for high-quality research.