Weather forecasts come in two varieties: short-term forecasts and long-term forecasts. Long-range forecasts are projections that span more than 14 days, whereas short-range forecasts cover one to 14 days. Predictions from predictive models are less reliable as they try to foresee further into the future.

With the advent of computer technology, meteorology has advanced significantly from its earlier limitations on purely human observations of the sky and weather patterns. These computer programs track weather patterns and make predictions based on that information.

The artificial intelligence course used to forecast the weather is extremely sophisticated, collecting data on weather patterns using different types of radar and satellite photography. Supercomputers use this data to build forecast maps and precise forecasts of potential weather events after it has been stored.

Analytics is used frequently. We have more access to all types of data, including massive collections of organized and unstructured data known as big data, as a result of the increased use of interconnected digital technology. Humans produce an astounding 1.145 trillion MB of data per day. Data analysis is one of the most common job paths to take. Data analysts gather and arrange data so they may produce reports and insights. Data mining, data cleaning, and data visualization are all combined in this.

Because of this rise in data analytics course, job prospects are rising. Up to 2028, the US Bureau of Labor Statistics forecasts a 26% increase in job opportunities in the analytics sector. The number of jobs posted by tech companies for analysis skills, such as machine learning (ML), data science, data engineering, and visualization, surpassed traditional skills like engineering, customer support, marketing and PR, and administration in 2020 for the second time in four years, according to a Deloitte article.