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Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes
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- Data Processing with RxDataStep
- Work Flow Analysis
- Hadoop
- Spark
- DataSets
- Read Data with R Server
- Linear Model, Partitioning Models
- Transform Functions
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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: Integrate R with Microsoft data platforms | - Use R in Azure Machine Learning environments - Use R with SQL Server |
| Topic 2: Visualize and communicate results | - Data visualization with R packages (ggplot2, etc.) - Reporting and dashboards |
| Topic 3: Prepare and clean data for analysis | - Import and transform data using R - Handle missing and inconsistent data - Clean and preprocess datasets |
| Topic 4: Build and evaluate predictive models | - Regression and classification models - Model training and validation - Feature engineering in R |
| Topic 5: Perform data analysis with R | - Descriptive statistics and exploratory data analysis - Apply statistical methods in R - Work with large datasets |
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