Udemy - Improving data quality in data analytics & machine learning (1.2025)

磁力链接/BT种子名称

Udemy - Improving data quality in data analytics & machine learning (1.2025)

磁力链接/BT种子简介

种子哈希：5d6178074792a9f9900b23fd811a53a2433611d8
文件大小： 1.31G
已经下载：3次
下载速度：极快
收录时间：2025-10-27
最近下载：2025-10-27

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文件列表

  • 08. Be a high-quality data scientist/2. Keeping up with data science developments.mp4 141.6 MB
  • 06. Data transformations/8. Code Transforming data.mp4 136.6 MB
  • 05. Assessing data quality/5. Code Visualizing data distributions.mp4 90.2 MB
  • 03. Why data quality matters/3. On the origins and quality of data.mp4 77.6 MB
  • 07. Outliers and missing data/2. What are outliers.mp4 71.9 MB
  • 03. Why data quality matters/6. Data quality influences data-driven decisions.mp4 68.8 MB
  • 07. Outliers and missing data/6. Code Dealing with bad or missing data.mp4 59.1 MB
  • 06. Data transformations/1. Section summary.mp4 58.5 MB
  • 08. Be a high-quality data scientist/3. Can you know everything.mp4 52.4 MB
  • 05. Assessing data quality/2. Qualitative vs. quantitative quality assessments.mp4 49.9 MB
  • 05. Assessing data quality/10. Code Measuring data quality.mp4 45.8 MB
  • 06. Data transformations/4. Binning (rounding).mp4 42.2 MB
  • 05. Assessing data quality/4. Qualitative assessments via visual inspection.mp4 39.2 MB
  • 05. Assessing data quality/7. Correlations and correlation matrices.mp4 36.0 MB
  • 06. Data transformations/2. Z-score scaling.mp4 26.8 MB
  • 04. Ensuring high data quality/9. Improve quality after data collection.mp4 25.4 MB
  • 04. Ensuring high data quality/7. Improve quality before getting data.mp4 25.4 MB
  • 06. Data transformations/5. Unit normalization.mp4 25.3 MB
  • 07. Outliers and missing data/3. The z-score method.mp4 24.0 MB
  • 04. Ensuring high data quality/8. Improve quality during data collection.mp4 22.9 MB
  • 05. Assessing data quality/6. Variance assessments.mp4 21.8 MB
  • 05. Assessing data quality/9. Sample sizes.mp4 21.1 MB
  • 07. Outliers and missing data/5. Dealing with missing data.mp4 20.8 MB
  • 08. Be a high-quality data scientist/4. What data scientists want.mp4 20.5 MB
  • 06. Data transformations/7. Nonlinear transformations.mp4 20.2 MB
  • 04. Ensuring high data quality/4. Data audits.mp4 18.3 MB
  • 04. Ensuring high data quality/11. Risks of biased results.mp4 16.7 MB
  • 04. Ensuring high data quality/2. Data management.mp4 14.3 MB
  • 08. Be a high-quality data scientist/1. Section summary.mp4 13.4 MB
  • 04. Ensuring high data quality/6. Data cleaning phases.mp4 12.5 MB
  • 04. Ensuring high data quality/3. Data documentation.mp4 11.1 MB
  • 05. Assessing data quality/8. Data error rates.mp4 10.9 MB
  • 06. Data transformations/6. Rank transform.mp4 10.2 MB
  • 01. Introduction/1. Is this course right for you.mp4 10.1 MB
  • 06. Data transformations/3. Minmax scaling.mp4 9.0 MB
  • 07. Outliers and missing data/1. Section summary.mp4 8.8 MB
  • 03. Why data quality matters/1. Section summary.mp4 7.7 MB
  • 03. Why data quality matters/5. GIGO (garbage in, garbage out).mp4 7.6 MB
  • 04. Ensuring high data quality/10. Improve quality during data analysis.mp4 7.3 MB
  • 07. Outliers and missing data/4. The modified z-score method.mp4 6.8 MB
  • 04. Ensuring high data quality/1. Section summary.mp4 5.4 MB
  • 03. Why data quality matters/2. Is data or are data.mp4 4.8 MB
  • 02. Download course materials (Python code)/1. Download the code.mp4 4.3 MB
  • 05. Assessing data quality/1. Section summary.mp4 1.4 MB
  • 06. Data transformations/8. Code Transforming data.vtt 28.3 kB
  • 05. Assessing data quality/5. Code Visualizing data distributions.vtt 22.3 kB
  • 05. Assessing data quality/7. Correlations and correlation matrices.vtt 22.1 kB
  • 07. Outliers and missing data/2. What are outliers.vtt 18.0 kB
  • 07. Outliers and missing data/6. Code Dealing with bad or missing data.vtt 17.7 kB
  • 05. Assessing data quality/3.4 Evaluating data quality by eye and by algorithm.html 17.1 kB
  • 04. Ensuring high data quality/12.3 When to maximize data quality.html 16.9 kB
  • 04. Ensuring high data quality/5.2 What to include in data documentation.html 16.9 kB
  • 05. Assessing data quality/4. Qualitative assessments via visual inspection.vtt 16.8 kB
  • 03. Why data quality matters/4.1 Potential problems with data.html 16.7 kB
  • 06. Data transformations/4. Binning (rounding).vtt 16.2 kB
  • 05. Assessing data quality/10. Code Measuring data quality.vtt 15.6 kB
  • 06. Data transformations/1. Section summary.vtt 13.9 kB
  • 06. Data transformations/7. Nonlinear transformations.vtt 13.9 kB
  • 06. Data transformations/5. Unit normalization.vtt 13.5 kB
  • 05. Assessing data quality/2. Qualitative vs. quantitative quality assessments.vtt 13.5 kB
  • 07. Outliers and missing data/3. The z-score method.vtt 12.2 kB
  • 05. Assessing data quality/9. Sample sizes.vtt 11.8 kB
  • 06. Data transformations/2. Z-score scaling.vtt 11.8 kB
  • 04. Ensuring high data quality/7. Improve quality before getting data.vtt 11.3 kB
  • 04. Ensuring high data quality/4. Data audits.vtt 10.2 kB
  • 04. Ensuring high data quality/11. Risks of biased results.vtt 9.6 kB
  • 08. Be a high-quality data scientist/2. Keeping up with data science developments.vtt 9.4 kB
  • 01. Introduction/1. Is this course right for you.vtt 8.8 kB
  • 05. Assessing data quality/6. Variance assessments.vtt 8.5 kB
  • 07. Outliers and missing data/5. Dealing with missing data.vtt 8.3 kB
  • 03. Why data quality matters/3. On the origins and quality of data.vtt 8.3 kB
  • 06. Data transformations/6. Rank transform.vtt 8.0 kB
  • 02. Download course materials (Python code)/1. dataQC_code.zip 7.8 kB
  • 04. Ensuring high data quality/2. Data management.vtt 7.7 kB
  • 04. Ensuring high data quality/9. Improve quality after data collection.vtt 6.6 kB
  • 04. Ensuring high data quality/8. Improve quality during data collection.vtt 6.6 kB
  • 06. Data transformations/3. Minmax scaling.vtt 6.3 kB
  • 04. Ensuring high data quality/3. Data documentation.vtt 6.2 kB
  • 05. Assessing data quality/8. Data error rates.vtt 5.9 kB
  • 08. Be a high-quality data scientist/3. Can you know everything.vtt 5.5 kB
  • 09. Bonus/1. Bonus material.html 4.8 kB
  • 03. Why data quality matters/5. GIGO (garbage in, garbage out).vtt 4.7 kB
  • 03. Why data quality matters/6. Data quality influences data-driven decisions.vtt 4.7 kB
  • 07. Outliers and missing data/4. The modified z-score method.vtt 4.7 kB
  • 04. Ensuring high data quality/10. Improve quality during data analysis.vtt 4.1 kB
  • 02. Download course materials (Python code)/1. Download the code.vtt 3.8 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 3.1 kB
  • 04. Ensuring high data quality/1. Section summary.vtt 2.2 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 1.4 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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