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Data Scientist vs Data Analyst Data Science Program Business Toys
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=Pf37SI2Dxs0
Data Analyst vs Data Scientist • First of all let's discuss what is the meaning of Data Analyst and Data Scientist? • Data Analyst: Data Analyst examines the largest data sets to identify the trends, make charts, create analytics report to help business make more deliberate and clever decision in the organisation. • Skills Technologies used by Data Analyst: • 1. Excel for Analytics • 2. SQL • 3. Tableau • 4. Microsoft PowerBI • 5. Basic statistical analysis using R or Python. • Data Scientist: A data scientist integrates multiple aspects like problem identification, formulating the problem in terms of statistical or machine learning models, and building models using programming languages like python, R, etc. A Data Scientist also evaluates various algorithms to check for its accuracy. He also looks for the optimization of models to make them more accurate and efficient. • Skills Technologies used by Data Scientist: • 1. A Data Scientist needs to have a detailed understanding of the domain for which he/she is solving problems. • 2. He should possess excellent problem identification and problem-solving skills. • 3. He should have a good understanding of statistical and mathematical modeling • 4. Should be excellent at Machine Learning and deep learning algorithms • 5. Have the expertise of programming languages such as R and Python. • For more information about Data scientist and Data Analyst, you can visit our website: https://businesstoys.in/ • Social Media Channels: • Facebook: / businesstoys • Instagram: / businesstoys • LinkedIn: / business-toys-private-limited • #datascience #dataanalytics #machinelearning #deeplearning #bigdata
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