The Certified Data Analytics Professional (CDAP) program is a prestigious certification designed to recognize individuals with advanced knowledge and expertise in the field of analytics. Analytics plays a pivotal role in today’s data-driven world, enabling organizations to make data-informed decisions, solve complex problems, and drive business success. Professionals with CDAP certification are acknowledged for their mastery in data analysis, statistical modeling, and the application of analytics across various industries.

The CDAP program consists of several modules, each focusing on specific aspects of analytics. These modules provide participants with a comprehensive understanding of analytics methodologies, tools, and their practical application in real-world scenarios.

Certification Learning Objectives:

Upon completing the Certified Data Analytics Professional (CDAP) program, participants will acquire a diverse skill set, including the ability to:

• Analytics Fundamentals: Develop a deep understanding of foundational analytics concepts, statistical methods, and data visualization.
• Data Management and Preparation: Proficiently handle and preprocess data, ensuring data quality and readiness for analysis.
• Modeling Techniques: Apply advanced statistical modeling techniques to solve complex business problems and make data-driven decisions.
• Analytics Deployment and Lifecycle: Understand the analytics lifecycle, from problem formulation and data collection to model deployment and ongoing monitoring.

Certification Requirements:

• Bachelor’s Degree

And/or

• 2 – 5 years of relevant work experience

Certifying Examination:

• To be certified as CDAP, student should take up a 1.5 hours online exam conducted by AIBM.
• The qualifying exam would consist of 50 multiple choice questions, testing core certification modules.
• Professionals with relevant experience and other qualifying criteria may be exempted from the examination.

Certification Modules:

1. Analytics Fundamentals and Concepts
2. Data Management and Preprocessing
3. Advanced Modeling Techniques
4. Analytics Deployment and Lifecycle
5. Data Visualization and Interpretation
6. Predictive Analytics and Forecasting

* The modules of the certification are constantly updated and are subject to change.

Who Should Do This Certification:

The Certified Data Analytics Professional (CDAP) certification is highly valuable for professionals across various roles and industries, including:

• Data Analysts and Scientists: Those already working in data analysis roles, seeking to enhance their analytics knowledge and skills.
• Business Analysts: Professionals aiming to leverage analytics to make data-informed business decisions.
• Statisticians: Individuals with a background in statistics looking to apply their expertise in analytics.
• Data Engineers: Those responsible for data preparation and management for analytics projects.
• Decision-Makers: Executives and managers interested in using analytics to enhance their strategic decision-making.

Embark on the journey of achieving the CDAP certification to become a recognized expert in analytics, apply data-driven strategies to your organization’s success, and advance your career in the ever-expanding field of data analytics.