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Why "Data Analytics"?
1. Objective: to develop skills in collecting, analyzing, visualizing large amounts of data and making informed decisions.
2. Key skills: mathematical modeling, statistics, programming (Python, R, SQL), data visualization and analytical thinking.
3. Application areas: economics, finance, healthcare, IT, logistics, education and public sector.
4. Career opportunities: data analyst, data scientist, business analyst, data engineer, visualization specialist.
5. Educational opportunities: Master's and PhD programs in data science, artificial intelligence, statistical modeling, software engineering and finance.
