- Time Months
- Cost Free
Data Science Profession Certification - Level 1 Experienced
Issued by
IBM
An IBM Experienced Data Scientist is able to leverage existing data sources, and create new ones in order to extract meaningful information. This badge holder has an understanding of the client’s business and can translate complex quantitative analysis into compelling actionable business insights. At Experienced Level, they apply their skills and competencies to provide value to clients.
- Time Months
- Cost Free
Skills
- AI
- Analytics
- Artificial Intelligence
- Augmented Intelligence
- Cognitive Computing
- CRISP-DM
- Data Science
- Data Scientist
- Deep Learning
- Experienced
- Linear Regression
- Machine Learning
- ML
- Model Validation
- Natural Language Processing
- NLP
- Optimization
- Prescriptive Analytics
- Python
- R
- Regression
- Scala
- Simulation
- SPSS
- Statistics
- Visualization
Earning Criteria
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Must be an IBM employee.
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Achieved Data Scientist Certification by the profession Subject Matter Experts (SMEs) that he/she is able to characterize the business problem in the context of statistical analysis using mathematical formulas that identify high value business insights.
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Developed and maintained skills and knowledge in Data Science technology, trends, and techniques that are relevant to developing solutions for solving business problems. Applied analytic techniques for turning functional requirements into a workable solution.
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Translated complex quantitative analysis into compelling and easily understandable and actionable business insights through visualization and other appropriate techniques.
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Enhanced and maintained IBM's technical vitality through giveback such as teaching, speaking at events, development of Intellectual capital and assets, publications, technical presentations and voluntary work for the Profession.
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Demonstrated an understanding of multiple modeling techniques such as regression, simulation, machine learning, etc. and used two or more techniques in at least one of the two required projects.
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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.
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The following additional information link is only accessible to IBM employees.