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Data Science > Learn Data Science > Are data science and data analytics the same?
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Are data science and data analytics the same?

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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Data science and data analytics are related but different. **Data Science**:- **Broad**: Includes data analytics, machine learning, and big data.- **Goal**: Create models to predict future trends.- **Tasks**: Clean data, write code, and develop algorithms. **Data Analytics**:- **Focused**: Specifically...
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Data science and data analytics are related but different.

**Data Science**:
- **Broad**: Includes data analytics, machine learning, and big data.
- **Goal**: Create models to predict future trends.
- **Tasks**: Clean data, write code, and develop algorithms.

**Data Analytics**:
- **Focused**: Specifically on analyzing data to find patterns.
- **Goal**: Understand past and present data.
- **Tasks**: Create charts, find trends, and generate reports.

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No, Data Analytics includes handling and cleaning the data and finding the hidden data using PowerBi. Data science includes AI ,MachineLearning ,Satictics, presentation technique and deployment tools . DS helps to predict the future trends, what measures can be taken.
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C language Faculty (online Classes )

Data science is an umbrella term for a group of fields that are used to mine large datasets. Data analytics software is a more focused version of this and can even be considered part of the larger process. Analytics is devoted to realizing actionable insights that can be applied immediately based on...
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Data science is an umbrella term for a group of fields that are used to mine large datasets. Data analytics software is a more focused version of this and can even be considered part of the larger process. Analytics is devoted to realizing actionable insights that can be applied immediately based on existing queries.

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My teaching experience 12 years

Data science and data analytics are related fields but are not the same. They have distinct focuses, methodologies, and purposes. Here's a breakdown of the differences: ### Data Science 1. **Scope**: Broad and encompassing. 2. **Focus**: Involves the extraction of insights and knowledge from data...
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Data science and data analytics are related fields but are not the same. They have distinct focuses, methodologies, and purposes. Here's a breakdown of the differences: ### Data Science 1. **Scope**: Broad and encompassing. 2. **Focus**: Involves the extraction of insights and knowledge from data using various scientific methods, algorithms, and systems. 3. **Skills**: Requires knowledge of statistics, machine learning, programming, data visualization, and sometimes domain expertise. 4. **Purpose**: To develop data-driven products, predictive models, and to extract actionable insights from data. 5. **Tools**: Uses advanced tools and languages like Python, R, Hadoop, TensorFlow, and others. ### Data Analytics 1. **Scope**: More focused and specific. 2. **Focus**: Primarily involves examining datasets to draw conclusions and identify patterns, trends, and relationships. 3. **Skills**: Requires skills in data cleaning, statistical analysis, and visualization. 4. **Purpose**: To analyze historical data to make informed business decisions, identify efficiencies, and provide a clearer picture of the current state. 5. **Tools**: Uses tools like Excel, SQL, Tableau, and more straightforward statistical software. In summary, while data analytics is a part of the data science umbrella, data science encompasses a broader set of techniques and goals that go beyond mere analysis, including the creation of new algorithms, predictive modeling, and the development of automated systems. read less
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