1. Data Collection and Cleaning: Gather, organize, and clean data from various sources, ensuring data accuracy and integrity.
2. Data Analysis: Utilize statistical techniques and data analysis tools to identify trends, patterns, and anomalies within data sets.
3. Data Visualization: Create clear and informative visualizations (e.g., charts, graphs) to effectively communicate data-driven insights to stakeholders.
4. Reporting: Develop comprehensive reports that summarize key findings and recommendations based on data analysis.
Setia Budi, Setiabudi, KOTA ADM. JAKARTA SELATAN, DKI JAKARTA, Indonesia