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The responsibility of Data Analysts can vary across industries and companies. Data Analysts utilizes the data to draw meaningful insights and solve problems. Data analysts can have a background in Mathematics,Statistics and skills include SQL, R or SAS, Python, Statistical analysis, Data analysis & Data Modeling.
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. The Data Scientist role is a branch of several traditional technical roles, including Mathematician, Statistician and Computer professional as well as interest in gaining the knowledge on the Business problems.
Regression analysis is widely used for prediction and forecasting, where
its use has substantial overlap with the field of machine learning.
Regression analysis is a powerful statistical method that allows you to examine the influence of one or more independent variables on a dependent variable.