Professional Certificate in
Forest Analytics Course
- Get Trained by Trainers from ISB, IIT & IIM
- 16 Hours of Intensive Classroom & Online Sessions
- 20 Hours of Free Python Programming Videos
- Get Quiz Questions and Use Cases
Academic Partners & International Accreditations
Forest Analytics can be defined as the use of datasets to provide detailed and realistic examples of data generated from different sources used by forest rangers and to handle the data and analyze it. Data Analytics can solve practical forest problems by using not only statistical tools but also all the material driven by context instead of convenience. Data Analytics combines practical and simple solutions designed by data analysis with state-of-art statistical functionality.
Overview of Forest Analytics Course
Forests are the most important natural resource and nations around the world are trying their best to save the forests and preserve biodiversity. It has become a challenge for forest departments around the world to operate with the humongous data generated by measuring forests. Forest datasets are humongous, messy, hierarchical, multifaceted, and costly. Challenges faced by the forest departments are complex and a misinformed decision would lead to problems. As not all challenges have a timeframe, Data Analytics is the best solution to traditional and nontraditional problems. Forest Data Analysts play a vital role in solving day-to-day issues in a better and more effective way. 360DigiTMG Forest Analytics Certification course covers all the essential elements needed for the job of a Forest Analyst and will help in making informed decisions.
Forest Analytics Course Training Learning Outcomes
Machine Learning and Big Data Analytics have become game-changer in the Forest domain. This Certification Program is a sui generis attempt to blend Machine Learning solutions for traditional tracking problems. Specifically designed to suit Forest professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to Forest industry data. The Forest analytics course is meant for professionals from the Forest industry as it provides a comprehensive picture of how Data Science and Artificial Intelligence can be leveraged to increase productivity and profits in decisions. Understanding the applications of Data Science, Machine Learning in wildlife preservation will be the prime objective of this content-rich program.
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Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Environmentalist Analysts
- Ecologists Analysts
- Forest Department Professionals
- Wildlife Veterinary Analysts
- Math, Science and Commerce Graduates
Forest Analytics Course Modules
The digital world is built on the walls of data and the Forest Analytics course is peering into the future. Put simply, Forest Analytics is bringing in all the data and combining it to provide strategic as well as predictive insights that can be used to improve the forests. In this module on the Forest Analytics course, you will learn about the various systems and models of Forest Analytics and how Machine Learning is helping to predict forest calamities. You will learn about the various techniques used in safeguarding the flora and fauna. You will also learn how Deep Learning is identifying the patterns in the recognition of animals. Along with the various advanced Forest Analytics techniques.
Trends in Forest Analytics Course
Deforestation is the biggest problem we are facing in today's world and roughly we are losing forests at a rate of 27 football fields a minute. Degraded forests can’t help keep our air and water clean, provide wildlife with shelter and food, or capture carbon. Illegal logging is a major threat to the forests and is impacting biodiversity adversely. Green zones like Amazon, Russia Far East, Southeast Asia, and Congo are the home to elephants, tigers, jaguars, and other iconic wildlife. To preserve wildlife and forests, governments are investing in Data Analytics that will provide fast and effective solutions for saving forests and improving biodiversity.
Illegal wood trade is a major problem faced by governments and tapping into big data analytics will help hinder suspicious timber imports. With the help of data analytics, we can identify and keep track of log exports from countries that have known export bans and it can be done fast and effectively. There are always discrepancies in national and international trade data and this can be solved by Data Analytics.
How we prepare you
- Get Quiz Questions and Use Cases
- Live Free Webinars
- Resume and LinkedIn Review Sessions
- Lifetime LMS Access
- 24/7 Support
- Job Placements in Forest Analytics Fields
- Complimentary Courses
- Unlimited Mock Interview and Quiz Session
- Hands-on Experience in Live Projects
- Offline Hiring Events
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