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Reference: https://www.microsoft.com/en-us/learning/exam-70-773.aspx
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Microsoft 070-773 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Build and evaluate predictive models | - Regression and classification models - Model training and validation - Feature engineering in R |
| Topic 2: Perform data analysis with R | - Descriptive statistics and exploratory data analysis - Apply statistical methods in R - Work with large datasets |
| Topic 3: Integrate R with Microsoft data platforms | - Use R with SQL Server - Use R in Azure Machine Learning environments |
| Topic 4: Visualize and communicate results | - Reporting and dashboards - Data visualization with R packages (ggplot2, etc.) |
| Topic 5: Prepare and clean data for analysis | - Handle missing and inconsistent data - Clean and preprocess datasets - Import and transform data using R |
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