A Data Analyst is a professional who collects, processes, and analyzes data to help organizations make informed decisions. Their main goal is to find patterns, trends, and insights from data that can guide business strategies and solve problems.
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Data Science www.seekhodigitalindia.com
DATA SCIENCE LIFECYCLE BUSINESSS UNDERSTANDING DATA EXPLORATION DATA COLLECTION FEATURE ENGINEERING
Data science is important because it combines tools,methods,and technology to generate meaning from data. . The importance of data science stems from its ability to extract valuable insights from vast amounts of data, driving informed decision-making, innovation, and competitive advantage across various industries. IMPORTANCE OF DATA SCIENCE
DESCRIPTIVE ANALYSIS Descriptive analysis examines data to gain insights into what happened or what is happening in the data environment. It is characterized by data visualization such as pie charts ,bar charts ,line graph , tables,or generated narratives DIAGNOSTIC ANALYSIS Diagnostic analysis is a deep –dive or detailed data examination to understand why something happened . It is characterized by techniques such as drill-download ,data discovery,data mining,and correlation. USES OF DATA SCIENCE
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