Data analytics requires a blend of technical skills to gather, process, and analyze data. Key skills include proficiency in Python, R, and SQL for data manipulation, along with expertise in visualization tools like Tableau or Power BI. Knowledge of machine learning, statistical modeling, and data wrangling techniques is also essential. Familiarity with cloud platforms like AWS or Azure ensures handling complex datasets. Mastery of these competencies enables effective, data-driven decision-making.