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  • What are the key components in Data Science ?

    Ruhi Parveen
    4 replies
    The key components in Data Science are data collection, data processing and cleaning, exploratory data analysis, statistical analysis, machine learning, data visualization, and communication of results.

    Replies

    Tolulade Ademisoye
    you've mentioned some key components already.
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    Tolulade Ademisoye
    @ruhi_parveen Word/Text analytics, Pattern analysis, trends, operations research, and even AI can be said to be in data science according to SAP IBM.
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    shakyapreeti
    The key components of Data Science are: Data Collection: Gathering raw data from various sources. Data Cleaning and Preprocessing: Ensuring data quality by removing errors and handling missing values. Data Analysis: Exploring data to identify patterns and relationships. Statistical Modeling: Applying statistical techniques to make predictions or inferences. Machine Learning: Using algorithms to build predictive models. Data Visualization: Presenting data insights through visual representations. Communication: Effectively sharing findings and insights with stakeholders.