Data Scientist vs Data Analyst- Which is Better in 2024? | Data Science and Analytics|Logicmojo
Автор: Logicmojo
Загружено: 2024-09-03
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In this video, learn about "Data Scientist vs Data Analyst: Which is better in 2024?"
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When it comes to working with data, two roles stand out: Data Analysts and Data Scientists. While both are essential, their paths diverge in terms of responsibilities, skills, and rewards.
Here are the points we’ll cover:
(00:00) Introduction
(00:42) Data Analyst Task?
(03:24) Data Scientist Task?
(03:39) Roles Difference data analytics and data science
(04:13) Which Profile is Better ?
Data Analysts: The Experts in Analysis
Focus: Collect, organize, and analyze data to inform business decisions
Skills: Data visualization, SQL, statistical analysis
Deliverables: Reports, visualizations, dashboards for stakeholders
Salary: ₹2,30,000 - ₹8,30,000 per year
Data Scientists: The Experts in Algorithms
Focus: Build predictive models, solve complex problems with advanced techniques
Skills: Machine learning, programming (Python, R), data engineering
Deliverables: Actionable insights, data-driven solutions
Salary: ₹3,30,000 - ₹15,30,000 per year or more
The Demand Divide
Both roles are in high demand, but Data Scientists are in even higher demand due to the explosion of data and the need for organizations to extract insights and value from it.
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In summary, Data Analysts excel at extracting insights from data, while Data Scientists drive business impact with advanced predictive models. Which path will you choose?
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