Tools for Biodiversity Data Analysis
( 24 Modules )

Module #1
Introduction to Biodiversity Data Analysis
Overview of the importance of biodiversity data analysis and the tools used in the field

Module #2
Types of Biodiversity Data
Introduction to different types of biodiversity data, including species occurrence, abundance, and traits data

Module #3
Data Preparation and Cleaning
Best practices for preparing and cleaning biodiversity data for analysis

Module #4
Introduction to R for Biodiversity Data Analysis
Basics of the R programming language and its applications in biodiversity data analysis

Module #5
Data Visualization with ggplot2
Introduction to data visualization using ggplot2 and its applications in biodiversity data analysis

Module #6
Species Occurrence Data Analysis with sp
Analyzing species occurrence data using the sp package in R

Module #7
Distance-Based Methods for Community Analysis
Introduction to distance-based methods for community analysis, including cluster analysis and ordination techniques

Module #8
Habitat Modeling with MaxEnt
Introduction to habitat modeling using MaxEnt and its applications in biodiversity conservation

Module #9
Species Distribution Modeling with BIOMOD
Introduction to species distribution modeling using BIOMOD and its applications in biodiversity conservation

Module #10
Phylogenetic Analysis with ape
Introduction to phylogenetic analysis using the ape package in R

Module #11
Community Phylogenetics with picante
Analyzing community phylogenetics using the picante package in R

Module #12
Functional Trait Analysis with traits
Introduction to functional trait analysis using the traits package in R

Module #13
Network Analysis with igraph
Introduction to network analysis using the igraph package in R and its applications in ecological networks

Module #14
Remote Sensing for Biodiversity Analysis
Introduction to remote sensing data and its applications in biodiversity analysis

Module #15
GIS for Biodiversity Analysis with QGIS
Introduction to Geographic Information Systems (GIS) using QGIS and its applications in biodiversity analysis

Module #16
Big Data Analysis for Biodiversity
Introduction to big data analysis using distributed computing and its applications in biodiversity analysis

Module #17
Cloud Computing for Biodiversity Analysis
Introduction to cloud computing using Amazon Web Services (AWS) and its applications in biodiversity analysis

Module #18
Reproducibility and Collaboration in Biodiversity Data Analysis
Best practices for reproducibility and collaboration in biodiversity data analysis

Module #19
Data Management and Sharing
Introduction to data management and sharing best practices for biodiversity data

Module #20
Biodiversity Informatics and Data Visualization
Introduction to biodiversity informatics and data visualization using interactive tools

Module #21
Case Study:Analyzing Species Occurrence Data
Practical application of tools and techniques learned in the course to analyze species occurrence data

Module #22
Case Study:Habitat Modeling and Species Distribution Modeling
Practical application of tools and techniques learned in the course to habitat modeling and species distribution modeling

Module #23
Case Study:Community Phylogenetics and Functional Trait Analysis
Practical application of tools and techniques learned in the course to community phylogenetics and functional trait analysis

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Tools for Biodiversity Data Analysis career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Tools for Biodiversity Data Analysis ( 24 Modules )

Tools for Biodiversity Data Analysis
( 24 Modules )