Sra Training Record Example – [Edit & Download]
Employee Information
Name: Lucas Nguyen
Position: Research Analyst
Department: Scientific Research and Development
Training Date
Date: February 15, 2025
Training Provider
Provider: Global Research Standards Institute
Training Session Title
Title: Advanced Techniques in Statistical Analysis for Research
Objectives of Training
Goals: The purpose of this training was to deepen the understanding and application of advanced statistical methods in scientific research. It aimed to enhance data analysis skills, focusing on regression models, multivariate analysis, and the use of statistical software for complex research projects.
Skills Acquired
Details: Lucas mastered sophisticated statistical techniques including logistic regression, PCA (Principal Component Analysis), and machine learning algorithms relevant to his research field. He also improved his proficiency with statistical software packages that are crucial for his daily work.
Duration of Training
Duration: This intensive training covered a period of three days, involving 24 hours of both lecture-based instruction and practical application exercises.
Assessment Results
Performance: In the assessment that followed, Lucas was able to effectively apply the new statistical methods to several mock research scenarios, demonstrating a significant enhancement in his analytical capabilities.
Comments/Feedback
Feedback: Lucas found the training extremely valuable for his professional development, particularly appreciating the real-world application examples that linked theoretical concepts with practical research needs. He recommended that similar training sessions be made available to all staff in the department to collectively raise the analytical standards of the team.
Share :
Sra Training Record Example – [Edit & Download]
Employee Information
Name: Lucas Nguyen
Position: Research Analyst
Department: Scientific Research and Development
Training Date
Date: February 15, 2025
Training Provider
Provider: Global Research Standards Institute
Training Session Title
Title: Advanced Techniques in Statistical Analysis for Research
Objectives of Training
Goals: The purpose of this training was to deepen the understanding and application of advanced statistical methods in scientific research. It aimed to enhance data analysis skills, focusing on regression models, multivariate analysis, and the use of statistical software for complex research projects.
Skills Acquired
Details: Lucas mastered sophisticated statistical techniques including logistic regression, PCA (Principal Component Analysis), and machine learning algorithms relevant to his research field. He also improved his proficiency with statistical software packages that are crucial for his daily work.
Duration of Training
Duration: This intensive training covered a period of three days, involving 24 hours of both lecture-based instruction and practical application exercises.
Assessment Results
Performance: In the assessment that followed, Lucas was able to effectively apply the new statistical methods to several mock research scenarios, demonstrating a significant enhancement in his analytical capabilities.
Comments/Feedback
Feedback: Lucas found the training extremely valuable for his professional development, particularly appreciating the real-world application examples that linked theoretical concepts with practical research needs. He recommended that similar training sessions be made available to all staff in the department to collectively raise the analytical standards of the team.