Udemy - Improving data quality in data analytics & machine learning (1.2025)
File List
- 08. Be a high-quality data scientist/2. Keeping up with data science developments.mp4 135.0 MB
- 06. Data transformations/8. Code Transforming data.mp4 130.3 MB
- 05. Assessing data quality/5. Code Visualizing data distributions.mp4 86.0 MB
- 03. Why data quality matters/3. On the origins and quality of data.mp4 74.0 MB
- 07. Outliers and missing data/2. What are outliers.mp4 68.5 MB
- 03. Why data quality matters/6. Data quality influences data-driven decisions.mp4 65.7 MB
- 07. Outliers and missing data/6. Code Dealing with bad or missing data.mp4 56.4 MB
- 06. Data transformations/1. Section summary.mp4 55.8 MB
- 08. Be a high-quality data scientist/3. Can you know everything.mp4 50.0 MB
- 05. Assessing data quality/2. Qualitative vs. quantitative quality assessments.mp4 47.6 MB
- 05. Assessing data quality/10. Code Measuring data quality.mp4 43.7 MB
- 06. Data transformations/4. Binning (rounding).mp4 40.2 MB
- 05. Assessing data quality/4. Qualitative assessments via visual inspection.mp4 37.4 MB
- 05. Assessing data quality/7. Correlations and correlation matrices.mp4 34.3 MB
- 06. Data transformations/2. Z-score scaling.mp4 25.5 MB
- 04. Ensuring high data quality/9. Improve quality after data collection.mp4 24.3 MB
- 04. Ensuring high data quality/7. Improve quality before getting data.mp4 24.2 MB
- 06. Data transformations/5. Unit normalization.mp4 24.1 MB
- 07. Outliers and missing data/3. The z-score method.mp4 22.9 MB
- 04. Ensuring high data quality/8. Improve quality during data collection.mp4 21.8 MB
- 05. Assessing data quality/6. Variance assessments.mp4 20.8 MB
- 05. Assessing data quality/9. Sample sizes.mp4 20.1 MB
- 07. Outliers and missing data/5. Dealing with missing data.mp4 19.8 MB
- 08. Be a high-quality data scientist/4. What data scientists want.mp4 19.5 MB
- 06. Data transformations/7. Nonlinear transformations.mp4 19.3 MB
- 04. Ensuring high data quality/4. Data audits.mp4 17.4 MB
- 04. Ensuring high data quality/11. Risks of biased results.mp4 15.9 MB
- 04. Ensuring high data quality/2. Data management.mp4 13.7 MB
- 08. Be a high-quality data scientist/1. Section summary.mp4 12.8 MB
- 04. Ensuring high data quality/6. Data cleaning phases.mp4 11.9 MB
- 04. Ensuring high data quality/3. Data documentation.mp4 10.6 MB
- 05. Assessing data quality/8. Data error rates.mp4 10.4 MB
- 06. Data transformations/6. Rank transform.mp4 9.7 MB
- 01. Introduction/1. Is this course right for you.mp4 9.7 MB
- 06. Data transformations/3. Minmax scaling.mp4 8.6 MB
- 07. Outliers and missing data/1. Section summary.mp4 8.4 MB
- 03. Why data quality matters/1. Section summary.mp4 7.4 MB
- 03. Why data quality matters/5. GIGO (garbage in, garbage out).mp4 7.2 MB
- 04. Ensuring high data quality/10. Improve quality during data analysis.mp4 7.0 MB
- 07. Outliers and missing data/4. The modified z-score method.mp4 6.5 MB
- 04. Ensuring high data quality/1. Section summary.mp4 5.2 MB
- 03. Why data quality matters/2. Is data or are data.mp4 4.6 MB
- 02. Download course materials (Python code)/1. Download the code.mp4 4.1 MB
- 05. Assessing data quality/1. Section summary.mp4 1.3 MB
- 06. Data transformations/8. Code Transforming data.vtt 27.6 KB
- 05. Assessing data quality/5. Code Visualizing data distributions.vtt 21.8 KB
- 05. Assessing data quality/7. Correlations and correlation matrices.vtt 21.6 KB
- 07. Outliers and missing data/2. What are outliers.vtt 17.5 KB
- 07. Outliers and missing data/6. Code Dealing with bad or missing data.vtt 17.3 KB
- 05. Assessing data quality/3.4 Evaluating data quality by eye and by algorithm.html 16.7 KB
- 04. Ensuring high data quality/12.3 When to maximize data quality.html 16.5 KB
- 04. Ensuring high data quality/5.2 What to include in data documentation.html 16.5 KB
- 05. Assessing data quality/4. Qualitative assessments via visual inspection.vtt 16.4 KB
- 03. Why data quality matters/4.1 Potential problems with data.html 16.3 KB
- 06. Data transformations/4. Binning (rounding).vtt 15.8 KB
- 05. Assessing data quality/10. Code Measuring data quality.vtt 15.3 KB
- 06. Data transformations/1. Section summary.vtt 13.6 KB
- 06. Data transformations/7. Nonlinear transformations.vtt 13.6 KB
- 06. Data transformations/5. Unit normalization.vtt 13.2 KB
- 05. Assessing data quality/2. Qualitative vs. quantitative quality assessments.vtt 13.2 KB
- 07. Outliers and missing data/3. The z-score method.vtt 12.0 KB
- 05. Assessing data quality/9. Sample sizes.vtt 11.5 KB
- 06. Data transformations/2. Z-score scaling.vtt 11.5 KB
- 04. Ensuring high data quality/7. Improve quality before getting data.vtt 11.0 KB
- 04. Ensuring high data quality/4. Data audits.vtt 10.0 KB
- 04. Ensuring high data quality/11. Risks of biased results.vtt 9.4 KB
- 08. Be a high-quality data scientist/2. Keeping up with data science developments.vtt 9.1 KB
- 01. Introduction/1. Is this course right for you.vtt 8.6 KB
- 05. Assessing data quality/6. Variance assessments.vtt 8.3 KB
- 07. Outliers and missing data/5. Dealing with missing data.vtt 8.1 KB
- 03. Why data quality matters/3. On the origins and quality of data.vtt 8.1 KB
- 06. Data transformations/6. Rank transform.vtt 7.8 KB
- 02. Download course materials (Python code)/1. dataQC_code.zip 7.6 KB
- 04. Ensuring high data quality/2. Data management.vtt 7.6 KB
- 04. Ensuring high data quality/9. Improve quality after data collection.vtt 6.5 KB
- 04. Ensuring high data quality/8. Improve quality during data collection.vtt 6.4 KB
- 06. Data transformations/3. Minmax scaling.vtt 6.2 KB
- 04. Ensuring high data quality/3. Data documentation.vtt 6.1 KB
- 05. Assessing data quality/8. Data error rates.vtt 5.8 KB
- 08. Be a high-quality data scientist/3. Can you know everything.vtt 5.4 KB
- 09. Bonus/1. Bonus material.html 4.7 KB
- 03. Why data quality matters/5. GIGO (garbage in, garbage out).vtt 4.6 KB
- 03. Why data quality matters/6. Data quality influences data-driven decisions.vtt 4.6 KB
- 07. Outliers and missing data/4. The modified z-score method.vtt 4.5 KB
- 04. Ensuring high data quality/10. Improve quality during data analysis.vtt 4.0 KB
- 02. Download course materials (Python code)/1. Download the code.vtt 3.7 KB
- 04. Ensuring high data quality/6. Data cleaning phases.vtt 3.5 KB
- 03. Why data quality matters/2. Is data or are data.vtt 3.0 KB
- 04. Ensuring high data quality/1. Section summary.vtt 2.1 KB
- 08. Be a high-quality data scientist/4. What data scientists want.vtt 2.1 KB
- 07. Outliers and missing data/1. Section summary.vtt 1.5 KB
- 08. Be a high-quality data scientist/1. Section summary.vtt 1.3 KB
- 03. Why data quality matters/1. Section summary.vtt 1.3 KB
- 05. Assessing data quality/1. Section summary.vtt 660 bytes
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