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What is the difference between data science and statistics?

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Elevating Understanding, One Equation at a Time: Your Path to Mathematical Mastery Begins Here

Data scientists compare multiple models before selecting the most accurate one. Statistics typically begins with a simple model, such as linear regression, to analyze data and check its consistency against the model hypothesis.
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Data scientists compare multiple models before selecting the most accurate one. Statistics typically begins with a simple model, such as linear regression, to analyze data and check its consistency against the model hypothesis.
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Data scientists compare multiple models before selecting the most accurate one. Statistics typically begins with a simple model, such as linear regression, to analyze data and check its consistency against the model hypothesis.
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Data science and statistics both involve the analysis of data, but they approach it from different perspectives and with different objectives. Statistics focuses on the collection, organization, analysis, interpretation, and presentation of data to make inferences and predictions about populations based...
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Data science and statistics both involve the analysis of data, but they approach it from different perspectives and with different objectives. Statistics focuses on the collection, organization, analysis, interpretation, and presentation of data to make inferences and predictions about populations based on samples. It emphasizes the mathematical theory behind probability, distributions, and hypothesis testing. On the other hand, data science is a broader field that encompasses statistics but also incorporates other disciplines like computer science, machine learning, and domain expertise. Data science aims to extract insights, patterns, and knowledge from data using a combination of statistical methods, computational tools, and domain-specific knowledge. It involves data collection, preprocessing, analysis, modeling, and visualization to uncover actionable insights and drive decision-making. In summary, while statistics is a fundamental component of data science, data science is a multidisciplinary field that goes beyond statistics to encompass various techniques and tools for extracting value from data in diverse applications. read less
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Hi, I will support based on your requirments.
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Vamsi
Hi, I am looking for a managerial position in health care analytics sector. I have a background of Bachelors in Occupational Therapy and a Masters in Public Health Administration. I have more than 7 years experience of working with public health data, bio-statistics, epidemiological analysis. Currently working as a Sr. Epidemiologist in Hyderabad. I have an expertise in disease forecasting and scientific writing. Please suggest what course I should take up to become an expert in health care analytics domain, so that I can apply for mid level managerial positions. I am currently based at Hyderabad.
you consider "Healthcare Analytics Certificate Program" by UC Davis. Refer to https://extension.ucdavis.edu/certificate-program/healthcare-analytics-certificate-program
Thirumugam
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Is that possible to do machine learning and Data science course after B.com, MBA Finance and marketing students and how is career growth? 
People from any background can learn Machine Learning & Data Science concepts. But all it requires is you need to stay focus and continuous practice. It can be applied in any domain like Finance, Marketing,...
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Which course should a HR professional go for Data Science R or Data Science Python?

 
If you are from a technical background, do Python. Otherwise, do the R Course.
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