Data Science and Analytics involves collecting, processing, and analyzing data to extract insights and support 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 collection, data cleaning, statistical analysis, machine learning model development, data visualization, and report generation.
• Skills Required: Programming (Python, R), statistical analysis, machine learning, data visualization (Tableau, Power BI), database management (SQL), and strong analytical skills.