What is the difference between a Data Analyst and a Data Scientist?

<p>Think of Data Science as a whole house. Data Analytics is just one room inside it. Analytics looks at past data to solve current problems. On the other hand, Data Science uses complex tools to predict the future.</p>

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<p>Both are popular job roles, as per the World Economic Forum report. The key differences between the two are as follows:</p><ul><li>The Data Analyst collects relevant data from various sources to filter and analyze it. The data scientist gathers sizable amounts of structured and unstructured data while performing data mining.</li><li>Education: To become a data analyst, you can apply with a Bachelor's degree in math, Statistics or a related field. Data scientists typically pursue a master's Diploma or degree in data Science.</li><li>Salary: The salary of a data scientist is usually higher than that of a data analyst. According to global estimates, a data scientist can earn around $100,000 per year, whereas a data analyst can earn around $70,000.</li></ul>

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A data analyst analyzes existing data, while data scientists create new ways of capturing and analysing data for analysts to utilize.

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