Conditional probability is used to qualify the dependent events. It is used for analytical processes over the traditional regression model.
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Can a non-technical person become a data scientist?
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In 2020, the global revenues for big data and business analytics are set to reach $210 billion. Naturally, because of increased demand, there has been a shortage of data science professionals and firms are reaching out with open arms to those looking to embrace the industry and join the workforce. Any person with a structural thought process, good logical thinking skills, conviction towards learning new tools and with a good business perspective can get into the field of data sciences. Those looking to close the gap and jump from a non-technical background to data science and related fields, do not fret! These tips will guide you on how to get a foot in the door and stay at the top of recruiter’s minds when new and competitive job opportunities pop up. Here’s how to get into data science from a non-technical background: Identify your dream job In Technical Jobs Most Roles Require these Skills Mathematics Statistics Programming Busines...