Podcast
Questions and Answers
What is the focus of Data Analytics?
What is the focus of Data Analytics?
Understanding and gleaning insights from the datasets
What is the focus of Data Science?
What is the focus of Data Science?
Creating and leveraging algorithms, statistical models, and own custom analyses to collect and shape datasets
What does Data Analytics primarily involve?
What does Data Analytics primarily involve?
Checking a hypothesis
What does Data Science primarily involve?
What does Data Science primarily involve?
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What is the main task of Data Analytics?
What is the main task of Data Analytics?
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What is the main task of Data Science?
What is the main task of Data Science?
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Data Science focuses on creating and leveraging algorithms, statistical models, and custom analyses.
Data Science focuses on creating and leveraging algorithms, statistical models, and custom analyses.
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Data Analytics primarily involves discovering new questions that might not have been realized needed answering.
Data Analytics primarily involves discovering new questions that might not have been realized needed answering.
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Data Science involves building connections and shaping questions to answer them for the future.
Data Science involves building connections and shaping questions to answer them for the future.
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Data Analytics tasks are more focused on machine learning and predictive modeling.
Data Analytics tasks are more focused on machine learning and predictive modeling.
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Data Science discipline includes algorithm development, data inference, and predictive modeling.
Data Science discipline includes algorithm development, data inference, and predictive modeling.
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Data Analysts have strong skills in math, advanced statistics, predictive modeling, machine learning, and programming.
Data Analysts have strong skills in math, advanced statistics, predictive modeling, machine learning, and programming.
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Study Notes
Data Analytics vs Data Science
Focus
- Data Analytics focuses on understanding and gleaning insights from datasets
- Data Science focuses on creating and leveraging algorithms, statistical models, and custom analyses to shape datasets into something easier to understand
Coverage
- Data Analytics covers specific areas with defined goals, problems, or hypotheses
- Data Science involves discovering new questions that might not have been realized as needing answers to drive innovation
Involvement
- Data Analytics involves checking a hypothesis
- Data Science involves building connections and shaping questions to answer them for the future
Tasks
- Data Analytics tasks involve viewing historical data in context
- Data Science tasks involve machine learning and predictive modeling
Discipline
- Data Analytics is a discipline that encompasses a few different branches of broader statistics and analysis
- Data Science is a multi-disciplinary field that involves algorithm development, data inference, and predictive modeling
Roles
- A Data Analyst requires strong skills in statistics, databases, modeling, and predictive analytics
- A Data Scientist requires strong skills in math, advanced statistics, predictive modeling, machine learning, and programming
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Description
Explore the differences between data analytics and data science, including their focuses, coverage areas, and involvement in the data analysis process.
