ISACA Data Science Fundamentals – ITCA
Build practical capability in ISACA Data Science Fundamentals – ITCA through four ISACA-focused lessons with guided practice, validation, and operational handover.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
ISACA Data Science Fundamentals – ITCA develops practical capability in data science concepts, data preparation, statistics, analytics, machine learning, visualization, ethics, governance, and business communication.
Learners progress through Data Science Lifecycle, Business Questions, Data Types, Roles, and Ethics; Data Collection, Cleaning, Quality, Exploration, Statistics, and Features; Analytics, Machine Learning, Models, Evaluation, and Interpretation; and Visualization, Communication, Governance, Privacy, Deployment, and Value. Each stage connects ISACA-aligned concepts with implementation decisions, governance responsibilities, troubleshooting, and reviewable evidence.
The learning journey follows a beginner data team turning raw information into reliable analysis while documenting quality, assumptions, ethics, and business value and produces a practical data-science project brief, prepared dataset, analytical notebook, and stakeholder presentation for implementation and operational use.
What You Will Learn
- Analyze DS-FND-ITCA data-science lifecycle; DS-FND-ITCA links business questions to DS-FND-ITCA data types and team roles.
- Prioritize DS-FND-ITCA team roles; DS-FND-ITCA tests data ethics through DS-FND-ITCA data-science lifecycle foundation evidence.
- Apply DS-FND-ITCA data collection; DS-FND-ITCA links data cleaning to DS-FND-ITCA data quality and exploratory analysis.
- Evaluate DS-FND-ITCA exploratory analysis; DS-FND-ITCA tests feature preparation through DS-FND-ITCA data collection assessment evidence.
- Distinguish DS-FND-ITCA descriptive analytics; DS-FND-ITCA links machine learning to DS-FND-ITCA model selection and model evaluation.
- Coordinate DS-FND-ITCA model evaluation; DS-FND-ITCA tests result interpretation through DS-FND-ITCA descriptive analytics implementation evidence.
- Review DS-FND-ITCA data visualization; DS-FND-ITCA links storytelling to DS-FND-ITCA data governance and privacy controls.
- Improve DS-FND-ITCA privacy controls; DS-FND-ITCA tests business value through DS-FND-ITCA data visualization assurance evidence.
SkillDynamo Training Approach
Training combines course-specific demonstrations, hands-on ISACA exercises, scenario analysis, validation checklists, structured troubleshooting, and a final improvement plan for ISACA Data Science Fundamentals – ITCA.
Curriculum
- 1 Section
- 4 Lessons
- 16 Hours
- Course Curriculum4 Items
- 1.1ISACA Data Science Fundamentals – ITCA — Lesson 1: Data Science Lifecycle, Business Questions, Data Types, Roles, and Ethics4 hours
- 1.2ISACA Data Science Fundamentals – ITCA — Lesson 2: Data Collection, Cleaning, Quality, Exploration, Statistics, and Features4 hours
- 1.3ISACA Data Science Fundamentals – ITCA — Lesson 3: Analytics, Machine Learning, Models, Evaluation, and Interpretation4 hours
- 1.4ISACA Data Science Fundamentals – ITCA — Lesson 4: Visualization, Communication, Governance, Privacy, Deployment, and Value4 hours
SkillDynamo Expert Team
SkillDynamo instructors combine ISACA domain knowledge, governance and assurance experience, guided demonstrations, scenario-based exercises, troubleshooting methods, and validation checklists to help learners apply data science concepts, data preparation, statistics, analytics, machine learning, visualization, ethics, governance, and business communication confidently in real environments.
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