Machine Learning plays a crucial role in data science by enabling the extraction of insights from complex data sets through advanced algorithms. It automates pattern recognition, predictions, and decision-making, making it essential for tasks like predictive modeling, natural language processing, and image recognition. Machine Learning enhances data analysis by identifying trends, optimizing processes, and improving accuracy, making it a foundational tool for driving innovation and business intelligence in data science. Enhance your proficiency in Data Science by joining FITA Academy.

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Descriptive Analytics involves summarizing historical data to understand past events. It uses techniques like data aggregation, visualization, and statistical methods (mean, median, mode) to identify trends and patterns. The goal is to provide insights into past performance, aiding decision-making. This type of analytics is often the first step in the data analysis process. FITA Academy provides a strong foundation in Descriptive Analytics, helping individuals build essential skills in data interpretation and analysis.
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