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.
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Tolulade Ademisoye@ato1
you've mentioned some key components already.
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@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.
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.