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Showing posts from February, 2023

Online Surveys understanding of Benefits and Pitfalls

Online surveys through the Internet and using smartphones are becoming more popular among Brands and researchers due to benefits such as decreased costs and universal Internet access. In view of strategic publicity by survey companies, people believe it is an easy way to engage in online surveys and earn extra money. You can certainly make a little amount of money if you have more time to invest than the time required for this job. However, any online paid surveys that promise a huge sum of money are most likely bogus. Earning money using online surveys is not as easy as it appears; it takes much more effort and days to earn $10 each week. The purpose of this post is to explain why online surveys are undertaken and how to profit from them. Online surveys are two-thirds quicker than conventional research methods, and they also contribute to the development of tomorrow's products. Free of charge with financial incentives, you can participate in polls while standing in lines or in yo

Data Scientists: Why high on demand?

During 2021-22 the most popular and sought-after topic in the market among young people was Data Science Career. In 2012, Thomas Davenport and former Chief Data Scientist of America D.J. Patil dubbed the Data Scientist portfolio "The Sexiest Job of the Twenty-First Century" in Harvard Business Review. Consider a career in data science if you want to work in a high-demand field. According to the U.S. Bureau of Labor Statistics, data scientist jobs rank sixth among the 30 fastest-growing occupations (from 2021 to 2031), with a median annual pay of $100,910. In European countries, this career offers an average annual salary of €139,840. History of Data Science at glance: The term "Data Science" is not a new field, it has grown significantly over the last 50 years. A journey through data science history reveals a long and winding route that began in 1962 when mathematician John W. Tukey foresaw the effect of modern-day electronic computing on data analysis as an empiric