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Biostatistics Analysis Using Graphpad Prism in Biotechnology
Rating: 3.3 out of 5(27 ratings)
94 students

Biostatistics Analysis Using Graphpad Prism in Biotechnology

Basics of GraphPad Prism to Analyze & Visualize Data | Biostatistics for Biotechnology | Data Analysis | Data Science
Created bySabahat Habib
Last updated 6/2024
English
English [Auto],

What you'll learn

  • Basic introduction of graphpad prism software
  • Familiarization with its interface
  • Various types of table types and formats
  • Various types of data analysis tests
  • T-test, One-way ANOVA Test, Two-way ANOVA Test, Linear and Non-linear Regression

Course content

4 sections • 10 lectures • 50m total length

  • Introduction to the interface2:58

    Explore how to use GraphPad Prism to create tables and graphs from data, navigate version eight interface, and prepare data before building x y tables for scatter plots and regression.

Requirements

  • No pre-requisites for this course.

Description

Biostatistics Analysis Using Graphpad Prism in Biotechnology.

Biostatistics Analysis Using GraphPad Prism - A Beginner's Introduction

Ready to start your journey with GraphPad Prism?

This course is your perfect starting point - a focused, beginner-friendly introduction to GraphPad Prism for students who are just getting started. No fluff, no overwhelm - just clear, practical lessons that get you up and running fast.

By the end of this course, you will:

  • Navigate the GraphPad Prism interface with confidence

  • Perform basic statistical analyses on biological data

  • Create clean, compelling data visualizations (basic level)

  • Walk away with a solid foundation to build on

                                                                                                     

Heads up:

This is an introductory course. If you're looking for advanced-level statistics, this isn't the right fit - but if you're a beginner ready to take that first exciting step, this course was made for you.

Jump in and start turning your data into results!



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#biotechnology

#microbiology

#molecular biology

#immunology

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#genetics

#biology

#biochemistry

#gene editing

#nanotechnology

#clinical research


Who this course is for:

  • Any scientist, researcher, biotechnologist, or healthcare worker, or person interested in doing their own biostatistics can enroll in this course.

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