Data Analytics With Python

Data analytics is the process of examining, cleaning, and interpreting raw data to extract valuable insights. It involves using tools and techniques to understand patterns and trends, supporting decision-making. Data collection from various sources is the first step, followed by data cleaning and exploration. Transforming data and using statistical and machine learning techniques for analysis is crucial. The results are then interpreted for meaningful conclusions, presented through data visualization and reporting. Data analytics finds applications in various industries, enabling data-driven decisions and identifying growth opportunities.