Data science
Data Science is the process of collecting, analyzing, and interpreting large volumes of data to extract valuable insights and support decision-making. It combines statistics, computer science, and domain knowledge to solve complex business problems.
Popular Data Science Tools
- Python – Widely used for data analysis (libraries: Pandas, NumPy, Scikit-learn).
- R – Statistical computing and graphics for advanced data analysis.li>
- Tableau / Power BI – Interactive dashboards and visual analytics.li>
- Apache Spark – Big data processing framework for large-scale data.li>
- Jupyter Notebook – Interactive environment for developing data science projects..
Key Benefits of Data Science
- Data-driven decision making across all business functions
- Identifies new business opportunities and optimizes processes..
- Provides real-time insights through dashboards and reports.
- Automates repetitive tasks with machine learning models.li>