Platform Mission:
Data-science is becoming a core of nearly all professions ranging, from use of biostatistics in medicine to self-organizing algorithms in engineering in deep machine learning to artificial-intelligence (AI) constructs. However, in Environmental and Earth Sciences use of analytics is only limited to end research at doctoral and post-doctoral degrees. In the coming age, it is evident that sophisticated instruments with ability to record environmental data at a high resolution will become an integrative part of monitoring mechanisms. Therefore, it is necessary that "exploratory-analytics" and "data-modelling" is integrated at undergraduate and post-graduate environmental studies. This webpage is created to host teaching and practice materials to address this knowledge gap. This is an introductory module intended to introduce the use of analytics (statistics using programming) and learn about one of the most widely used analytical software known as R / R studio.
The website will host useful links to online repositories/databases, academic materials, softwares and electronic tools for students of Environmental Analytics.
Course materials for series of workshops hosted at Bharati Vidyapeeth and MIT-WPU, Pune in collaboration Dr. Rohan Shetti will be made available through this platform.
Other links like
Data-Science in Natural Sciences:
Nearly all academic and professional disciplines today are directly or indirectly entwined with data-science. Ranging from website outreaches of NGOs to Government data bases to corporate businesses to fine arts.
It can be noted that most of the "economic-incentive" oriented disciplines have adopted data-science in one form or the other for optimization of work-flow processes or profits. Even so, the academic-curricula for these disciplines are making data-science an integral part. However, this entwining is seen to be rather slow in applied natural-sciences and by far its academic institutions. With this platform and series of Environmental Analytics workshops we plan to integrate academic materials, online tools and block-seminars for basic analytics using R-programming for students/researchers and professionals from Natural and Environmental Sciences.
An important part of this initiative is to help students, researchers and professionals working with data from environmental and natural sciences with their issues of data-processing and helping each other with peer based learning. To share ideas, materials, data-sets, and best practices in coding and statistics we have started a Facebook group the link to which is provided below. Feel free to join the the group by sending a request to the group moderator.
Bharat Environmental Analytics:
https://www.facebook.com/groups/618600838868088/
Data-science is becoming a core of nearly all professions ranging, from use of biostatistics in medicine to self-organizing algorithms in engineering in deep machine learning to artificial-intelligence (AI) constructs. However, in Environmental and Earth Sciences use of analytics is only limited to end research at doctoral and post-doctoral degrees. In the coming age, it is evident that sophisticated instruments with ability to record environmental data at a high resolution will become an integrative part of monitoring mechanisms. Therefore, it is necessary that "exploratory-analytics" and "data-modelling" is integrated at undergraduate and post-graduate environmental studies. This webpage is created to host teaching and practice materials to address this knowledge gap. This is an introductory module intended to introduce the use of analytics (statistics using programming) and learn about one of the most widely used analytical software known as R / R studio.
The website will host useful links to online repositories/databases, academic materials, softwares and electronic tools for students of Environmental Analytics.
Course materials for series of workshops hosted at Bharati Vidyapeeth and MIT-WPU, Pune in collaboration Dr. Rohan Shetti will be made available through this platform.
Other links like
- R / R studio
- Python
- Arc GIS links for shape files for mapping
- QGIS
- Climate Explorer
Data-Science in Natural Sciences:
Nearly all academic and professional disciplines today are directly or indirectly entwined with data-science. Ranging from website outreaches of NGOs to Government data bases to corporate businesses to fine arts.
It can be noted that most of the "economic-incentive" oriented disciplines have adopted data-science in one form or the other for optimization of work-flow processes or profits. Even so, the academic-curricula for these disciplines are making data-science an integral part. However, this entwining is seen to be rather slow in applied natural-sciences and by far its academic institutions. With this platform and series of Environmental Analytics workshops we plan to integrate academic materials, online tools and block-seminars for basic analytics using R-programming for students/researchers and professionals from Natural and Environmental Sciences.
An important part of this initiative is to help students, researchers and professionals working with data from environmental and natural sciences with their issues of data-processing and helping each other with peer based learning. To share ideas, materials, data-sets, and best practices in coding and statistics we have started a Facebook group the link to which is provided below. Feel free to join the the group by sending a request to the group moderator.
Bharat Environmental Analytics:
https://www.facebook.com/groups/618600838868088/
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