Data Science Profession Certification - Level 2 Expert
Issued by
IBM
An IBM Expert Data Scientist leads works with business leaders to solve problems by understanding, preparing and analyzing data to predict emerging trends and provide recommendations to optimize business results. This badge holder applies and integrates a broad variety of products, technologies, and services including integration with legacy systems and processes. At Expert Level, the IBM Certified Data Scientist is recognized as a Subject Matter Expert and leads others in their work.
- Time Months
- Cost Free
Skills
- AI
- Analytics
- Artificial Intelligence
- Augmented Intelligence
- Cognitive Computing
- CRISP-DM
- Data Science
- Data Scientist
- Deep Learning
- Expert
- Linear Regression
- Machine Learning
- ML
- Model Validation
- Natural Language Processing
- NLP
- Optimization
- Prescriptive Analytics
- Python
- R
- Regression
- Scala
- Simulation
- SPSS
- Statistics
- Visualization
Earning Criteria
-
Must be an IBM employee.
-
Achieved certification by the profession Board that he/she is able to use data science capabilities to successfully solve the client’s identified business problems, as well as leading and or teaching others to achieve these results.
-
Has demonstrated their breadth of data science experience and their application of accepted methodologies.
-
Enhanced and maintained IBM's technical vitality through mentoring others (required) and other forms of give back including the development of intellectual capital and property, reusable assets, publications, technical presentations and voluntary work on Certification Review Boards.
-
Translated complex quantitative analysis into compelling and easily understandable and actionable business insights through visualization and other appropriate techniques.
-
Demonstrated an understanding of five or more modeling techniques such as regression, simulation, machine learning, etc. over a period of at least 36 months.
-
Completed formal training in the discipline of data science (such as statistics, operations research, machine learning, or econometrics) either through attendance at a taught course, or through self-study.
-
The following additional information link is only accessible to IBM employees.