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- 【影视】 [Tutorialsplanet.NET] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included
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20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB
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- 【影视】 TTC - How Science Shapes Science Fiction
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2358-09 - Space Battles and Energy Weapons: Star Wars - How Science Shapes Science Fiction.mp4 330.0 MB
2358-01 - Science and Fiction The Wayfarers Series - How Science Shapes Science Fiction.mp4 317.8 MB
2358-24 - Science Fiction’s Purpose: Childhood’s End - How Science Shapes Science Fiction.mp4 315.1 MB
2358-03 - Prediction: From the Earth to the Moon - How Science Shapes Science Fiction.mp4 307.5 MB
2358-02 - Cheating the Science: Protector - How Science Shapes Science Fiction.mp4 298.6 MB
2358-10 - Advanced Rocket Systems in Star Trek - How Science Shapes Science Fiction.mp4 288.8 MB
2358-22 - Designed Languages and Arrival - How Science Shapes Science Fiction.mp4 288.4 MB
2358-05 - Advanced World-Building in Avatar - How Science Shapes Science Fiction.mp4 285.6 MB
2358-06 - Action and Reaction in The Avengers - How Science Shapes Science Fiction.mp4 285.3 MB
2358-19 - Extraterrestrial Intelligence and Contact - How Science Shapes Science Fiction.mp4 282.7 MB
2358-23 - Cosmology, the Mind, and Star Maker - How Science Shapes Science Fiction.mp4 281.6 MB
2358-21 - Social Sciences and the Foundation Series - How Science Shapes Science Fiction.mp4 274.8 MB
2358-14 - Teleportation and Star Trek - How Science Shapes Science Fiction.mp4 271.9 MB
2358-13 - Time Travel and Doctor Who - How Science Shapes Science Fiction.mp4 270.3 MB
2358-08 - Interplanetary Travel and The Martian - How Science Shapes Science Fiction.mp4 268.7 MB
2358-18 - Planetary Ecology in Dune - How Science Shapes Science Fiction.mp4 268.5 MB
2358-20 - UFOs, ESP, and The X-Files - How Science Shapes Science Fiction.mp4 267.4 MB
2358-04 - World-Building in The Left Hand of Darkness - How Science Shapes Science Fiction.mp4 266.5 MB
2358-15 - Cyberspace and the Singularity: Neuromancer - How Science Shapes Science Fiction.mp4 265.4 MB
2358-17 - Design Your Own Dragon: Game of Thrones - How Science Shapes Science Fiction.mp4 265.4 MB
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- 【影视】 [DesireCourse.Net] Udemy - The Data Science Course 2020 Complete Data Science Bootcamp
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.4 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.6 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 MB
13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.3 MB
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16 Statistics - Practical Example Descriptive Statistics/093 Practical Example Descriptive Statistics.mp4 168.2 MB
12 Probability - Distributions/066 A Practical Example of Probability Distributions.mp4 165.5 MB
11 Probability - Bayesian Inference/051 A Practical Example of Bayesian Inference.mp4 152.2 MB
40 Part 6 Mathematics/283 Why is Linear Algebra Useful.mp4 151.3 MB
05 The Field of Data Science - Popular Data Science Techniques/011 Techniques for Working with Traditional Data.mp4 145.0 MB
10 Probability - Combinatorics/039 A Practical Example of Combinatorics.mp4 140.8 MB
03 The Field of Data Science - Connecting the Data Science Disciplines/009 Applying Traditional Data Big Data BI Traditional Data Science and ML.mp4 133.0 MB
05 The Field of Data Science - Popular Data Science Techniques/020 Types of Machine Learning.mp4 131.2 MB
56 Software Integration/406 Taking a Closer Look at APIs.mp4 121.2 MB
05 The Field of Data Science - Popular Data Science Techniques/017 Techniques for Working with Traditional Methods.mp4 117.1 MB
02 The Field of Data Science - The Various Data Science Disciplines/007 Continuing with BI ML and AI.mp4 114.3 MB
56 Software Integration/405 What are Data Connectivity APIs and Endpoints.mp4 109.1 MB
06 The Field of Data Science - Popular Data Science Tools/022 Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
55 Appendix Deep Learning - TensorFlow 1 Business Case/395 Business Case Preprocessing.mp4 108.4 MB
19 Statistics - Practical Example Inferential Statistics/118 Practical Example Inferential Statistics.mp4 107.6 MB
05 The Field of Data Science - Popular Data Science Techniques/019 Machine Learning (ML) Techniques.mp4 104.1 MB
13 Probability - Probability in Other Fields/067 Probability in Finance.mp4 103.9 MB
35 Advanced Statistical Methods - Practical Example Linear Regression/226 Practical Example Linear Regression (Part 1).mp4 101.8 MB
20 Statistics - Hypothesis Testing/120 Null vs Alternative Hypothesis.mp4 96.5 MB
05 The Field of Data Science - Popular Data Science Techniques/015 Business Intelligence (BI) Techniques.mp4 94.3 MB
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.3 MB
12. Probability Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 164.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.4 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Combinatorics/20. A Practical Example of Combinatorics.mp4 140.7 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.vtt 133.0 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 129.5 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 118.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.6 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB
13. Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.6 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 MB
13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.3 MB
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
3. The Field of Data Science/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB
13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
12. Probability - Distributions/3. Types of Probability Distributions.mp4 96.0 MB
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.4 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Combinatorics/20. A Practical Example of Combinatorics.mp4 140.7 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 129.5 MB
53. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 118.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
53. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
51. Deep Learning - Business Case Example/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 MB
13. Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
12. Probability Distributions/3. Types of Probability Distributions.mp4 96.8 MB
20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.3 MB
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB
13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
12. Probability - Distributions/3. Types of Probability Distributions.mp4 96.0 MB
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11. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
33. Part 5 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.vtt 145.0 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 129.5 MB
46. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 117.7 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
46. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
44. Deep Learning - Business Case Example/4. Business Case Preprocessing.mp4 108.4 MB
14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 MB
15. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.6 MB
5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.3 MB
44. Deep Learning - Business Case Example/1. Business Case Getting acquainted with the dataset.mp4 91.9 MB
29. Advanced Statistical Methods - Logistic Regression/3. Logistic vs Logit Function.mp4 90.7 MB
2. The Field of Data Science - The Various Data Science Disciplines/1. Data Science and Business Buzzwords Why are there so many.mp4 85.4 MB
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20 Handling errors during ETL (Phases 1 2)/136 How to analyze the error files.mp4 344.7 MB
27 Homework Solutions/209 ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 301.8 MB
20 Handling errors during ETL (Phases 1 2)/132 SSIS Error Data truncation.mp4 280.5 MB
20 Handling errors during ETL (Phases 1 2)/130 What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
27 Homework Solutions/208 ETL Error Handling (Phases 1 and 2).mp4 250.6 MB
27 Homework Solutions/211 ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.6 MB
26 Presenting for Data Scientists/199 REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 241.7 MB
13 Assessing your model/084 How to build a CAP curve in Excel.mp4 223.4 MB
22 ETL Phase 3 Data Wrangling after the load/168 Create the proc for the second file.mp4 217.0 MB
23 Handling errors during ETL (Phase 3)/176 Upload the data to RAW table.mp4 207.4 MB
26 Presenting for Data Scientists/201 How to present to executives.mp4 207.1 MB
25 Working with people/192 The art of saying No.mp4 205.9 MB
22 ETL Phase 3 Data Wrangling after the load/173 What you can do with these tables going forward [drv files etc.].mp4 199.0 MB
10 Multiple Linear Regression/059 Backward Elimination - Practice time.mp4 196.0 MB
25 Working with people/194 Building a data culture.mp4 194.2 MB
12 Building a robust geodemographic segmentation model/075 Lets build the model - backward elimination STEP-BY-STEP.mp4 179.7 MB
14 Drawing insights from your model/096 Deriving insights from your coefficients (advanced topic).mp4 176.4 MB
25 Working with people/191 Go and sit with them.mp4 176.2 MB
10 Multiple Linear Regression/060 Using Adjusted R-squared to create Robust models.mp4 175.3 MB
26 Presenting for Data Scientists/198 Intro dissection - recap.mp4 173.2 MB
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20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 182.0 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 146.6 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 141.9 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 131.1 MB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 130.7 MB
10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 128.0 MB
26. Presenting for Data Scientists/7. How to present to executives.mp4 124.4 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 122.2 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 120.7 MB
26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
14. Drawing insights from your model/2. Power insights from your CAP.mp4 116.2 MB
6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).mp4 112.3 MB
13. Assessing your model/9. Comparing training performance and test performance.mp4 109.5 MB
20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 106.4 MB
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
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40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
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56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
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56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
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55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
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5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 MB
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.6 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 MB
13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
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~Get Your Files Here !/09 Data Science_ Hands-On Projects/006 Answer for Housing and Property Sales Project.mp4 164.5 MB
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~Get Your Files Here !/09 Data Science_ Hands-On Projects/004 Bike Sharing Project Answers.mp4 159.4 MB
~Get Your Files Here !/07 Data Frame with Pandas/009 Combining Data Frames.mp4 111.9 MB
~Get Your Files Here !/09 Data Science_ Hands-On Projects/002 Titanic Project Answers.mp4 98.1 MB
~Get Your Files Here !/07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 91.1 MB
~Get Your Files Here !/07 Data Frame with Pandas/001 Data Frame Attributes and Methods.mp4 86.1 MB
~Get Your Files Here !/06 Pandas_ Using Pandas for Data Manipulation/002 Series and Features.mp4 82.3 MB
~Get Your Files Here !/05 Using Numpy for Data Manipulation/005 Numpy Exercises.mp4 79.0 MB
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20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
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12 - Probability - Distributions/015 A Practical Example of Probability Distributions.mp4 145.0 MB
11 - Probability - Bayesian Inference/012 A Practical Example of Bayesian Inference.mp4 131.6 MB
05 - The Field of Data Science - Popular Data Science Techniques/001 Techniques for Working with Traditional Data.mp4 110.6 MB
40 - Part 6_ Mathematics/011 Why is Linear Algebra Useful_.mp4 90.4 MB
35 - Advanced Statistical Methods - Practical Example_ Linear Regression/001 Practical Example_ Linear Regression (Part 1).mp4 89.0 MB
20 - Statistics - Hypothesis Testing/001 Null vs Alternative Hypothesis.mp4 84.8 MB
05 - The Field of Data Science - Popular Data Science Techniques/007 Techniques for Working with Traditional Methods.mp4 78.4 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/004 Business Case_ Preprocessing.mp4 78.0 MB
51 - Deep Learning - Business Case Example/004 Business Case_ Preprocessing the Data.mp4 77.4 MB
56 - Software Integration/003 Taking a Closer Look at APIs.mp4 68.5 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/011 Obtaining Dummies from a Single Feature.mp4 66.9 MB
05 - The Field of Data Science - Popular Data Science Techniques/010 Types of Machine Learning.mp4 64.8 MB
05 - The Field of Data Science - Popular Data Science Techniques/003 Techniques for Working with Big Data.mp4 63.4 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/001 Business Case_ Getting Acquainted with the Dataset.mp4 63.2 MB
56 - Software Integration/002 What are Data Connectivity, APIs, and Endpoints_.mp4 61.7 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/006 Creating a Data Provider.mp4 59.0 MB
02 - The Field of Data Science - The Various Data Science Disciplines/001 Data Science and Business Buzzwords_ Why are there so Many_.mp4 57.4 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/003 Checking the Content of the Data Set.mp4 56.9 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/002 Confidence Intervals; Population Variance Known; Z-score.mp4 54.7 MB
51 - Deep Learning - Business Case Example/001 Business Case_ Exploring the Dataset and Identifying Predictors.mp4 53.9 MB
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~Get Your Files Here !/1. An Introduction Foundations of Data Science.mp4 858.9 MB
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~Get Your Files Here !/5. Statistics.mp4 507.9 MB
~Get Your Files Here !/2. Data Sourcing Foundations of Data Science.mp4 409.7 MB
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~Get Your Files Here !/1. An Introduction Foundations of Data Science.srt 148.2 kB
~Get Your Files Here !/3. Coding.srt 132.4 kB
~Get Your Files Here !/5. Statistics.srt 107.7 kB
~Get Your Files Here !/2. Data Sourcing Foundations of Data Science.srt 80.7 kB
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8. Statistics and Probability/27. Confidence Intervals.mp4 127.1 MB
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2. Python for Data Analysis/23. Merge Sort.mp4 121.0 MB
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10. Data Exploration/8. Exploring the Dabl Library.mp4 106.8 MB
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2. Python for Data Analysis/19. Linear Search.mp4 100.0 MB
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