Data Science and Statistics for Environmental Professionals aid course free. Basic course to learn environmental data management: solid waste, air pollution, effluent discharge, groundwater, etc.
- Learn good practices of Environmental Data Management
- What is Exploratory Data Analysis
- Environmental data characteristics
- Software/tools to explore environmental data
- How to treat, clean organize environmental data
- Graphs for data visualization and visual storytelling
Data Science and Statistics for Environmental Professionals Course Requirements
- No specific prior knowledge required
- Familiarity with statistics concepts is helpful
Data Science and Statistics for Environmental Professionals Course Description
Are you an environmental professional interested in improving your data management skills? This course explains the importance of understanding data science and statistics concepts for managing environmental data and helping environmental professionals reach the best conclusions when analyzing any data set.
Working in the environmental field, you want to take the first step in data science and statistics, and you want to learn the basics of data science and statistics and how to use them effectively.
Analysis and management of environmental data. You want to learn how to use exploratory data analysis techniques to assist the data storytelling process. In this course, you will learn the basic principles and concepts of environmental data management using data science and statistical methods and techniques.
This will help you understand the first step required for evaluation and analysis. To this end, we encourage you to learn and use software, languages, and tools for evaluating data and extracting relevant information from it, such as:
- R for statistics
- Pro UCL, from EPA
- Visual Sampling Plan
The software mentioned above will not be explained in detail, on the other hand, throughout the course, the students will be stimulated to use the tool(s) that they feel more comfortable with, in order to develop their skills in the tools that make more sense for each one.
Currently, developing these skills of data science statistics to manage your data are important because:
- Big Data: every day the generation and collection of data in every field, including the environmental field, are huge in volume, and it is still growing with time. The amount and complexity of data generated need competent professionals to assess and interpret it effectively.
- Career Improvement: the field of data science and statistics are some of the most popular in the market today, so environmental professionals with these skills are one step ahead.
In summary, the course presents explanations and examples, as well as hands-on exercises for the implementation of Data Science and Statistics to be used in the Environmental Data
Who this course is for:
- Environmental engineers
- Environmental managers
- Environmental scientists
- Environmnetal technicians
- Regulatory authorities
- Sustainability students and professionals