CDS Certified in Data Science ™
A data scientist collects and interprets data using qualitative analysis. From their analyses, they can predict, evaluate and share information that impacts a variety of departments and operations within the company. They often use technologies such as SQL, R, SAS and Python, so getting data analyst certification in these areas will help you tackle even the most complex data sets with ease. Data scientists analyse large and complex data sets and leverage a wide range of machine-learning and visualization tools to help them coalesce such information into a more meaningful form.
Data Scientist identify data sources and automate data gathering processes; Drive evaluation and pre-processing of structured and unstructured data sets; Discover trends and patterns in the large data pools; Build Machine Learning models and algorithms; Use data visualization techniques to represent valuable information; Achieve and measure business value by proposing strategies and solutions for business challenges; Identify business challenges to be solved; Collaborate with product and engineering teams and other stakeholders
The Certified in Data Science credential is a professional accredited certification that demonstrates the attainment of a defined level of technical knowledge in big data analytics management, professional practice, and ethical behavior. It forms the basis of the assessment that applicants must pass to gain Certified in Data Science status and inclusion in the Register of The Global Academy of Finance and Management® Certified / Chartered Professional. Individuals with several years of experience in data analytics are encouraged to acquire this certification.
Requirements: Candidate must have prior experience and knowledge in some of these areas: Big data, data analysis and visualization, Python programming, Python for data science and Machine learning, ETL, data processing, supervised learning (classification), unsupervised learning (clustering), supervised learning (regression), model evaluation, applications of data science.
The American Academy of Project Management® International Board of Standards issues the CDS Certified in Data Science certification.
HOW TO APPLY: To qualify for the Certified in Data Science ™ certification, you need to complete the following steps:
- Complete the Mandatory Candidate Information (MCI)
- Complete the payment upon receipt of the invoice
- Take the examination when you’re ready
Examination: email to request the examination questions when you are ready to take the exam. The examination comprised of 40 questions; Passing grade is 70%.
Course fee: Includes Certified in Data Science certificate, membership certificate, examination fee, and shipping.
Mandatory Candidate Information : please include the Title of the Certification Course that you wish to apply in the subject line when submitting the following information and attach a latest copy of your C.V. email to firstname.lastname@example.org
Full Name, Shipping address, Name to print on certificate, Mobile number
The AMERICAN ACADEMY OF PROJECT MANAGEMENT ® International Board of Standards is the first graduate global Board of Standards for project management industry professionals to earn Accreditation under the TUV-OE European Standards for ISO 9001 Certification and ISO 29990 Certification. AAPM is also a chartered member of the CHEA Council for Higher Education Accreditation – International Quality Group (CHEA/CIQG) Memorandum of Affiliation is designed to engage quality assurance and accrediting organizations in a shared effort to affirm and promote fundamental principles for higher education quality.
Founded in 1988, the Accreditation Council for Business Schools and Programs (ACBSP) is a global business education accrediting body and the first organization to offer accreditation to all levels of collegiate business educational degree programs from associate to doctoral. ACBSP ignites a standard of excellence with an accreditation process based on the Baldrige Education Criteria for Performance Excellence. By evaluating aspects of leadership, strategic planning, relationships with stakeholders, quality of academic programs, faculty credentials, and educational support, ACBSP assesses whether or not business programs offer a rigorous educational experience and commitment to continuous quality improvement.