Key Components of Data Science:
Data Collection: Gathering data from multiple sources, such as databases, APIs, web scraping, and IoT devices.
Data Cleaning and Preprocessing: Learn processes for removing data inconsistencies, missing value corrections, and preparing the data for further analysis.
Data Analysis: Using statistical methods and visualization tools to understand patterns, trends, and relationships within the data.
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