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.
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.