Data Analyst vs Data Scientist - What's the Difference? | Role, Skills, Salary & Demand
In this video, learn about Data Analyst vs Data Scientist - What's the Difference? | Role, Skills, Salary & Demand
Data Analysts and Data Scientists both work with data, but their roles and responsibilities differ.
Data Analysts focus on collecting, organizing, and analyzing data to support decision-making in a company. They create reports, visualizations, and dashboards to communicate insights to stakeholders.
Data Scientists use advanced statistical and machine-learning techniques to build predictive models and solve complex problems. They have a more advanced skill set and use their technical abilities to extract insights and value from data.
Skills for a Data Analyst typically include data visualization, SQL, and statistical analysis. Skills for a Data Scientist often include machine learning, programming (e.g. Python, R), and data engineering.
The salary for Data Analysts ranges from ₹2,30,000 to ₹8,30,000 per year, while Data Scientists can earn ₹3,30,000 to ₹15,30,000 per year or more.
The demand for both roles is growing, but the demand for Data Scientists is higher due to the increasing amount of data generated and the need for organizations to extract insights and value from it
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