Overview for Weather Data Science
The Weather with Data Science is the one of the most aggressive fields in Data Science recently. The Weather problems have a lots of impact for our life and business and sometimes it make disaster and make big impact.
The Weather fields is the most important development goals in SDGs (Sustainable Development Goals)
Our Data Scientists have long experiences for weather industry. as a outsourcing/offshoring project.
In the weather data, we could get huge information/data from the radar.
However how to analyze and how to use data is the most important in this fields.
For working with this weather fields, the business domain knowledge is also important for our data scientist.
Weather Forecasting with Data Science
The one of the task that our data scientist working for weather data is weather forecasting by data science approaches.
By the data science approaches, we could predict more detail weather status and it helps to find suddenly disaster early and also help peoples life.
Example - Weather Data Science(Statistics approaches)
|Client||An weather business sector|
|Overview||analyzing weather data and forecasting weather by Data Science approaches.|
|AI / Data Science Technology||Statistics approaches|
Please also check about Vietnam AI Lab