Data Science and Analytics involves collecting, processing, and analyzing large datasets to extract meaningful insights and support data-driven decision-making. Professionals in this field use statistical methods, machine learning algorithms, and data visualization techniques to identify trends, predict outcomes, and solve complex business problems.

• Key Responsibilities: Data mining, statistical analysis, machine learning model development, data visualization, and report generation.
• Skills Required: Python, R, SQL, data visualization tools (Tableau, Power BI), machine learning libraries (scikit-learn, TensorFlow).
• Career Growth: Data Scientist, Data Analyst, Business Intelligence Analyst, Machine Learning Engineer.