Choosing a DASCA Credential

To develop in learners 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 Undergraduate Degree in Information Technology/Computer Science or a Diploma in Computer Programming/Software Engineering from an accredited institution. Applicants should also display a strong basic understanding of the fundamentals of programming and database management.

• 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™ exam, standard exam preparation resources (Handbook 1: Foundations of Big Data Engineering, Handbook 2: Advanced Big Data Engineering, Online Learning and Preparation Resources), shipping, digital badging, and the credential-kit.

To develop in learners, 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 been working as a programmer or software engineer for the last two years and exhibit advanced knowledge of the techniques and tools of programming. You are also required to have at least an Undergraduate Degree in Information Technology/Computer Science or a Diploma in Computer Programming/Software Engineering from an 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™ exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Engineering, Handbook 2: Advanced Big Data Engineering, Online Learning & Preparation Resources), shipping, digital badging, and the credential-kit.

To develop in learners 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 just completed your Undergraduate/Bachelor's Degree in Information Technology/Computer Science/Business/Management/Statistics/Economics/Mathematics or a Diploma in Computer Programming or Software Engineering or a Diploma in Business/Management from an accredited institution. You are expected to have a very strong basic-level understanding of the principles and tools of Statistics and should love problem-solving using numbers and analysis.

• 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™ exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Analytics, Handbook 2: Advanced Big Data Analytics, Online Learning and Preparation Resources), shipping, digital badging, and the credential-kit.

To develop in learners 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, are proficient in solving problems using Statistics and Quantitative methods, have thorough knowledge of RDBMS and Spreadsheets, and are aware about Big Data uses in decision-making. This is an ideal certification for you if you are completing, or have just completed your Undergraduate/Bachelor's Degree in Information Technology/Computer Science/Business/Management/Statistics/Economics/Mathematics or a Diploma in Computer Programming/Software Engineering or a Diploma in Business/Management from an 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™ exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Analytics, Handbook 2: Advanced Big Data Analytics, Online Learning and Preparation Resources), shipping, digital badging, and the credential-kit.

To develop in learners 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 five or more years of exposure in leading Big Data analytics or science functions, you are a great fit for the Senior Data Scientist Credential. Applicants are required to have at least an Undergraduate/Bachelor's Degree in Information Technology/Computer Science/Business/Management/Statistics/Economics/Mathematics or a Diploma in Computer Programming/Software Engineering or a Diploma in Business/Management from an accredited institution. 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™ exam, standard exam preparation resources (Data Science Handbooks 1 and 2), shipping, digital badging, and the credential-kit.