Data analytics is a versatile and interdisciplinary field with applications across various domains, including business, healthcare, finance, marketing, and scientific research. Effective data analytics can drive innovation, optimize processes, and improve decision-making in organizations.
The process of gathering relevant data from various sources, including databases, sensors, web services, and more. This can involve structured data (e.g., databases, spreadsheets) and unstructured data (e.g., text, images, videos).
Preprocessing raw data to ensure it is accurate, complete, and consistent. This may involve removing duplicates, handling missing values, and transforming data into a suitable format for analysis.
The initial phase of data analysis where the data is visualized and summarized to understand its characteristics. This may involve descriptive statistics, data visualization techniques (e.g., histograms, scatter plots), and correlation analysis.
Applying statistical methods to analyze data and test hypotheses. This
