C1000-177 Exam Dumps
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| Certification Provider: | IBM |
|---|---|
| Exam Code / Number: | C1000-177 |
| Exam Name: | Foundations of Data Science using IBM watsonx |
| Exam Questions: | 0 |
| Corresponding Certification: | IBM Certification |
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IBM C1000-177 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Evaluate the Business Problem | 16% | - Formulate testable hypotheses - Translate business objectives into data science/ML/AI solutions - Identify appropriate analytical tools and methodologies - Define project scope and success criteria |
| Topic 2: Development Tools and Techniques | 13% | - Navigate IBM watsonx.ai, Watson Studio, and Jupyter environments - Use Python and libraries (Pandas, NumPy, Matplotlib, Scikit-learn) - Work with structured and unstructured data formats - Select appropriate statistical and modeling techniques |
| Topic 3: Perform Exploratory Data Analysis | 21% | - Use visualization techniques to identify patterns and relationships - Apply descriptive statistics and summary metrics - Assess data quality and suitability for modeling - Detect missing values, anomalies, and outliers - Analyze statistical distributions and correlations |
| Topic 4: Pre-Processing and Feature Engineering | 33% | - Perform feature transformation and scaling - Apply categorical and numerical encoding techniques - Handle missing values and imbalanced data - Integrate data from multiple sources - Select relevant features and reduce dimensionality - Clean and normalize datasets |
| Topic 5: Model Selection, Training, Evaluation, and Presentation | 17% | - Evaluate performance using correct metrics - Apply responsible AI and bias mitigation principles - Split data into training, validation, and test sets - Interpret results and communicate insights to stakeholders - Train and tune model parameters - Choose appropriate machine learning algorithms |