
- Instructor: Sunil Pandya
The AI Data Quality Analyst Certification Program equips participants with essential skills to ensure data quality in AI and Big Data projects across various industries. This course offers insights into practical applications of AI and Big Data analytics, outlines specific roles within the field, and provides a solid understanding of basic statistical concepts crucial for data analysis, such as measures of central tendency and identifying anomalies like missing values and outliers. Participants will learn to use statistical IDEs, software packages, libraries, and frameworks for importing and preprocessing data, including techniques for data cleansing and transformation. The curriculum also enhances planning and management skills, necessary for effective project timelines, alongside developing soft skills for better workplace communication, collaboration, and conflict management. Additionally, the course focuses on interpreting and fulfilling client requirements to enhance satisfaction, maintaining an inclusive and environmentally sustainable workplace, and adhering to global standards. Ideal for individuals aiming to enter or advance in data-focused roles, this comprehensive program prepares participants to manage data quality challenges effectively and contribute significantly to their organizations in the realm of AI and Big Data analytics.