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Introduction to Data Science
What is Data Science?
Data Science is a study of huge amounts of data in order to solve complex analytical problems.
What does it include?
Also known as Data-driven science, Data Science encompasses data analysis using automated methods in order to extract knowledge or insights which can be utilized as resources in the creation of business and IT strategies in various areas such as social science and humanities. Development of scientific methods, processes and algorithms is involved in data science and studying data includes data sources, data representations and data inference.
Why is Data Science in demand?
Simply put, the demand of data scientists is increasing like never before and it is getting difficult to find people with even basic analytical skills. The application areas in which data science can be used in limitless.
Data scientists use tools which are uncommon unlike the data sheets containing rows and columns which everyone is familiar with. They use programming languages like Hadoop, R, Panda which give them respect in the tech community. Data Scientists get paid handsomely and the recruiters also use data science to study what can be done to make sure the supplies meets the demand. Data Scientists get popular because they are doing the work which is useful for others. Big technological giants like Google, Facebook and Amazon already have separate bunch of data scientists in house and they are already applying data science in their businesses and products which has a huge impact on our everyday life.
Harvard has said that Data Scientist is the sexiest job and clearly, a simple google search for 'Data Scientists Jobs' could tell you why!
What are the skills required to be a data scientist?
Some of the common skills that a data scientists should have are Statistics, Data Visualization, Logical Thinking Capacity, Analytical Knowledge, Mathematics, Artificial Intelligence/Machine Learning Skills and Programming Languages. You may wonder are there people with so many skills combined together? Well, you may have some of the skills already embedded within yourselves and if you have the urge to become successful in this career, you can directly hop into such a job and develop rest of the skills overtime.
What is Data Science?
Data Science is a study of huge amounts of data in order to solve complex analytical problems.
Also known as Data-driven science, Data Science encompasses data analysis using automated methods in order to extract knowledge or insights which can be utilized as resources in the creation of business and IT strategies in various areas such as social science and humanities. Development of scientific methods, processes and algorithms is involved in data science and studying data includes data sources, data representations and data inference.
Why is Data Science in demand?
Simply put, the demand of data scientists is increasing like never before and it is getting difficult to find people with even basic analytical skills. The application areas in which data science can be used in limitless.
Data scientists use tools which are uncommon unlike the data sheets containing rows and columns which everyone is familiar with. They use programming languages like Hadoop, R, Panda which give them respect in the tech community. Data Scientists get paid handsomely and the recruiters also use data science to study what can be done to make sure the supplies meets the demand. Data Scientists get popular because they are doing the work which is useful for others. Big technological giants like Google, Facebook and Amazon already have separate bunch of data scientists in house and they are already applying data science in their businesses and products which has a huge impact on our everyday life.
Harvard has said that Data Scientist is the sexiest job and clearly, a simple google search for 'Data Scientists Jobs' could tell you why!
What are the skills required to be a data scientist?
Some of the common skills that a data scientists should have are Statistics, Data Visualization, Logical Thinking Capacity, Analytical Knowledge, Mathematics, Artificial Intelligence/Machine Learning Skills and Programming Languages. You may wonder are there people with so many skills combined together? Well, you may have some of the skills already embedded within yourselves and if you have the urge to become successful in this career, you can directly hop into such a job and develop rest of the skills overtime.
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