Choosing a DASCA Credential

To develop a strong generic and platform-based understanding of the concepts, principles, tools, and techniques required in Big Data management. ABDE™ aspirants are expected to know Big Data and its applications along with Hadoop technologies and their applications in Cloud, Machine Learning, Artificial Intelligence, Elasticsearch, etc.

The ABDE™ is ideal for you if you are completing or have completed your Bachelor's Degree/ Associate Degree/ Diploma in Computer Science/ Information Technology/ Software Engineering or related disciplines from any nationally or internationally accredited institution. Applicants should also display basic proficiency in using Python/ JAVA or any other programming language.

• Hadoop development and implementation.
• Designing, building, and supporting Hadoop applications.
• Turning business requirements into conceptual, logical, and physical designs for various data types and large volumes.
• Hands-on development of code used for data injection and data analysis.

ABDE™ Certification Program Fee- US$ 585. This is a one-time fee covering the ABDE™ certification exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Engineering, Handbook 2: Advanced Big Data Engineering, 3rd party optional study resources), shipping, digital badging, and the credential-kit.

To develop a strong generic and platform-based understanding of the concepts, principles, tools, and techniques required in Big Data management. SBDE™ aspirants are expected to know Big Data and its applications along with Hadoop technologies and their applications in Cloud, MongoDB, Machine Learning, Artificial Intelligence, Elasticsearch etc.

The SBDE™ should be your choice if you have minimum 2 years of computing experience with proficiency in using Python/JAVA or any other programming language. You are also required to have at least a Bachelor's Degree in Computer Science/ Technology/ Engineering/ Applied Sciences or related disciplines from any nationally or internationally accredited institution.

• Hadoop development and implementation.
• Designing, building, and supporting Hadoop applications.
• Turning business requirements into conceptual, logical, and physical designs for various data types and large volumes.
• Hands-on development of code used for data injection and data analysis.

SBDE™ Certification Program Fee- US$ 650. This is a one-time fee covering the SBDE™ certification exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Engineering, Handbook 2: Advanced Big Data Engineering, 3rd party optional study resources), shipping, digital badging, and the credential-kit.

To develop a strong generic and platform–based understanding of the concepts, principles, tools, techniques, and technologies required for designing, developing, and applying analytics frameworks and utilities and using them to output sharper information management and decision making. ABDA™ aspirants are expected to know Big Data and its applications, Analytics and its applications, R and its implementations, Mobile Analytics, and Statistical Analysis tools, techniques, and methodologies.

This is an ideal certification for you if you are completing or have completed your Bachelor's Degree/ Associate Degree/ Diploma in Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Social Sciences/ Information Systems/ Computer Application or related disciplines from any nationally or internationally accredited institution. Applicants should also display basic proficiency in working with data/ Statistics/ Business Analytics/ RDBMS.

• Interpreting data, analyzing results using statistical techniques, and providing ongoing reports.
• Developing and implementing data collection systems and other strategies that optimize statistical efficiency and data quality.
• Acquiring data from primary or secondary data sources and maintaining databases/data systems.
• Identifying, analyzing, and interpreting trends or patterns in complex data sets.
• Locating and defining new process improvement opportunities.

ABDA™ Certification Program Fee- US$ 585. This is a one-time fee covering the ABDA™ certification exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Analytics, Handbook 2: Advanced Big Data Analytics, 3rd party optional study resources), shipping, digital badging, and the credential-kit.

To develop a strong generic and platform–based understanding of the concepts, principles, tools, techniques, and technologies required for designing, developing, and applying analytics frameworks and utilities and using them to output sharper information management and decision making. SBDA™ aspirants are expected to know Big Data technologies and their applications, Big Data Analytics and its applications, R and its implementation, Mobile Analytics, Visualization, Machine learning, Artificial Intelligence, and Statistical Analysis tools, techniques, and methodologies.

SBDA™ works very well for individuals who have been in the analytics and research space for two or more years and are proficient in solving problems using Statistics and Quantitative methods. You are also required to have at least a Bachelor's Degree in Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Social Sciences/ Computer Application/ Information Systems or related disciplines from any nationally or internationally accredited institution.

• Interpreting data, analyzing results using statistical techniques, and providing ongoing reports.
• Developing and implementing data collection systems and other strategies that optimize statistical efficiency and data quality.
• Acquiring data from primary or secondary data sources and maintain databases/data systems.
• Identifying, analyzing, and interpreting trends or patterns in complex data sets.
• Working closely with management to prioritize business and information needs.
• Locating and defining new process improvement opportunities.

SBDA™ Certification Program Fee- US$ 650. This is a one-time fee covering the SBDA™ certification exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Analytics, Handbook 2: Advanced Big Data Analytics, 3rd party optional study resources), shipping, digital badging, and the credential-kit.

To develop a strong generic and platform–based understanding of the concepts, principles, tools, techniques, and technologies required for designing, developing, and applying analytics frameworks and utilities and using them to output sharper information management and decision making. SDS™ aspirants are expected to have advanced knowledge of Statistical Analysis tools, techniques, and methodologies and exposure to different big SDS™ and analytics language and platforms. SDS™ aspirants should source and analyze data from various perspectives with different business insights, determine what this data indicates, and recommend ways to apply the data.

If you are a professional with four or more years of exposure in leading Big Data Analytics or Data Science functions, you are a great fit for the Senior Data Scientist (SDS™) Credential. Applicants are also required to have at least a Bachelor's Degree in Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Computer Application/ Information Systems or a related discipline.

In the SDS™ program, you will thrive if you already have advanced knowledge and skills of statistical analysis techniques and tools, decent exposure to analytics platforms such as SPSS/SAS, good exposure to R, quantitative methods, and fundamentals of object-oriented programming and RDBMS, and finally, the confidence of having worked on popular/common Big Data programming and analytics platforms and technologies.

• Developing and planning analytic projects in response to business needs.
• Contributing to the development of data models and protocols for mining production databases in conjunction with data owners and department managers.
• Developing new analytical methods and/or tools as required.
• Contributing to data mining architectures, modeling standards, reporting, and data analysis methodologies.
• Conducting research and making recommendations on data mining products, services, protocols, and standards in support of procurement and development efforts.
• Working with application developers to extract data relevant for analysis.
• Collaborating with unit managers, end-users, development staff, and other stakeholders to integrate data mining results with existing systems.
• Providing and applying quality assurance best practices for data mining/analysis services.
• Adhering to change control and testing processes for modifications to analytical models.
• Creating data definitions for new database file/table development and/or changes to existing ones as needed for analysis.
• Determining required network components to ensure data access, as well as data consistency and integrity.
• Responding to and resolving data mining performance issues, monitoring data mining system performance, and implementing efficiency improvements.
• Managing and/or providing guidance to junior members of the team.

SDS™ Certification Program Fee- US$ 775. This is a one-time fee covering the SDS™ certification exam, standard exam preparation resources (The Data Science Handbooks 1, The Data Science Handbook 2, 3rd party optional study resources), shipping, digital badging, and the credential-kit.