Data Science and Statistics for Environmental Professionals

Basic course to learn environmental data management: solid waste, air pollution, effluent discharge, groundwater, etc.

4.10 (132 reviews)

Udemy

platform

English

language

Engineering

What you will learn

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

Why take this course?

Are you an environmental professional interested in improving your Data Management skills?

This course explains the importance to understand Data Science and Statistics concepts for environmental data management and help environmental professionals to draw the best conclusions when analyzing any data set.

This is your course if you work in the environmental field and want to take your first steps with the Data Science and Statistics and:

You want to learn the basics concepts of data science and statistics and how to use them effectively.
You want to carry out environmental consulting in the field of environmental data analyzes and management.
You want to learn how to use Exploratory Data Analysis techniques to help in the Data Storytelling process.

In this course, you will learn the fundamentals principles and concepts of Environmental Data Management using data science and statistical methods and techniques, this will help you to understand the first steps needed when evaluating and analyzing your data set.

To achieve that, you will be encouraged to learn and use software, languages and tools used to evaluate data and extract relevant information out of it, such as:

R for statistics
Pro UCL, from EPA
Visual Sampling Plan
Excel
MAROS
GWSDAT
Minitab
Etc.

The software mentioned above will not be explained in details, on the other hand, throughout the course the students will be stimulate to use the tool(s) that they fell more confortable 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 Management activities of professionals.

Reviews

Sadam

October 15, 2023

Over all good what is expected and the missing is use of some software practical experience would add star

Nnaemeka

August 17, 2023

It was a great introductory course. I think the best title should be Statistics for Environmental Professionals

Jean

July 4, 2023

Really Now I understood the concepts to have a quality data and not make a quick conclusions on the environmental data

Leonardo

January 31, 2023

To start, is all right, the concepts I already knew, but I expected that examples and concepts were shown.

Ruoyang

November 13, 2022

Yes. It is a good match with repeatable instructions and results. Easy entry level with good fundamentals for continuous improvement.

Sharmilaa

November 10, 2022

Yes, All the topics were good. I personally felt that they should have given some demo using excel or any other software as how to work on the statistics using various software. I felt only the concept was well explained rather than hands on experience was missing. Good for beginners to gain basic knowledge. I had to rely on many other sources to complete my assignments.

Yadunandan

August 30, 2022

It was a great to learn the cluster of tools hands on and various concise methods use in data wrangling, exploratory data analytics etc

Robyn

February 16, 2022

Disappointed by the lack of depth of the course content. The content was not for working professionals. Additionally, when spelling and pronunciation error are continuous throughout the whole course you start to question all the advice given. Would not recommend this course and felt cheated that I couldn't get a refund.

Ewan

December 9, 2021

3 star rating because the course content was very good (5 stars) but the structure and presentation very poor (1 star), specifically: - Monotone presentation voice did not generate enthusiasm for topic - GIF animations only distract, don't enhance the course - Every module starts with telling us how amazing the course is, this got very anoying after several modules - The exercises are too detailed to be done during the course, they break the flow too much; these should be considered as additional content for those who want to go into more detail on specific topics. - I would have appreciated short, multiple choice tests in each module to confirm understanding of the topics before moving on.

Karen

September 16, 2021

Its been an interesting course, easy to understand and learn how to manage data, I am learnign and ejoying this course

Ioanna

August 22, 2021

This course was really helpful. I gained knowledge about basic statistics methods and programming languages used in the management of environmental data as I expected. I totally recommend it.

Sunita

June 23, 2021

The course is very informative and designed well for environmental professionals. The inferences drawn using such data analysis will yield better planning of environmental impacts

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