COVID-19 has ruined the lives of many people all across the world. With the number of cases still increasing in certain countries, the economy has taken a massive hit. Will Data Scientists around the world be able to predict the increase in cases and be able to accurately predict what’s yet to come? Here are the latest advancements in the field of Data Science and Analytics over the past week.
Predicting the Future: How Bay Area data scientists are ‘accurately’ forecasting US COVID-19 cases
Jaideep Ray, a Data Scientist at Sandia National Laboratories, one of the largest data science and engineering labs in the USA suggests that he and his colleagues are accurately predicting the future of COVID-19 cases. They are making use of public data that helps them predict the number of COVID-19 cases for the next 7-10 days. Most of the data being used comes from Johns Hopkins University or the Centers for disease control and prevention.
The model being used for predictions dates back to the late 80’s model that was used to track how AIDS progressed in San Francisco. Earlier the analysis would take up to 20-22 hours, but currently takes only half an hour, says Ray. This new model was launched in mid-march and has been used to predetermine COVID cases across the country.
How is Data Analytics enhancing the skills of MBA students?
As the world is seeing an uprise of digital transformation, businesses today are realizing how important big data is. Companies are now hiring MBA graduates with Data Analytics skills. As we see the amount of data being generated increases regularly, companies require professionals who can turn this data into meaningful insights and help in making smart business decisions.
Mastering various data analytics skills can help an MBA graduate in setting strong precedence in the market. Businesses have been making use of data to understand their customers in the past too, but the process was a lot more difficult and data was not readily available for their use. With the advancements in Data Analytics, the process has become easier and reduced human error as well.
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