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【影视】 [FreeCourseSite.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

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01 Get Excited/001 Welcome to Data Science A-ZTM.mp4 36.5 MB
02 What is Data Science/002 Intro what you will learn in this section.mp4 8.1 MB
02 What is Data Science/003 Profession of the future.mp4 28.2 MB
02 What is Data Science/004 Areas of Data Science.mp4 20.1 MB
02 What is Data Science/005 IMPORTANT Course Pathways.mp4 19.5 MB
02 What is Data Science/006 BONUS Success Story.html 1.9 kB
03 --Part 1 Visualisation--/007 Welcome to Part 1.mp4 31.9 MB
04 Introduction to Tableau/008 Intro what you will learn in this section.mp4 14.0 MB
04 Introduction to Tableau/009 Installing Tableau Desktop and Tableau Public FREE.mp4 44.0 MB
04 Introduction to Tableau/010 Challenge description view data in file.mp4 22.2 MB
04 Introduction to Tableau/011 Connecting Tableau to a Data file - CSV file.mp4 26.1 MB
04 Introduction to Tableau/012 Navigating Tableau - Measures and Dimensions.mp4 26.4 MB
04 Introduction to Tableau/013 Creating a calculated field.mp4 24.4 MB
04 Introduction to Tableau/014 Adding colours.mp4 27.2 MB
04 Introduction to Tableau/015 Adding labels and formatting.mp4 43.7 MB
04 Introduction to Tableau/016 Exporting your worksheet.mp4 39.2 MB
04 Introduction to Tableau/017 Section Recap.mp4 5.9 MB
04 Introduction to Tableau/quizzes/001 Tableau Basics.html 4.7 kB
05 How to use Tableau for Data Mining/018 Intro what you will learn in this section.mp4 13.9 MB
05 How to use Tableau for Data Mining/019 Get the Dataset Project Overview.mp4 25.2 MB

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【影视】 Lynda - Data Engineering Essential Training for Data Science

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01 - Welcome.mp4 19.1 MB
02 - What you should know before watching this course.mp4 686.7 kB
03 - Using the exercise files.mp4 1.3 MB
04 - Data science system overview.mp4 5.1 MB
05 - Star schema design overview.mp4 4.8 MB
06 - Where does data engineering fit.mp4 2.3 MB
07 - Components of a good data pipeline.mp4 4.5 MB
08 - Environment setup.mp4 14.1 MB
09 - Loading and profiling data.mp4 13.3 MB
10 - Data quality testing.mp4 15.9 MB
11 - Adding data types.mp4 9.8 MB
12 - Handling missing values.mp4 8.1 MB
13 - Verifying addresses.mp4 10.8 MB
14 - Performing master data lookups.mp4 8.2 MB
15 - Handling inferred members.mp4 1.9 MB
16 - Loading the star schema.mp4 1.5 MB
17 - Loading dimension tables.mp4 2.8 MB
18 - Loading fact tables.mp4 4.5 MB
19 - Creating views.mp4 9.9 MB
20 - Next steps.mp4 18.2 MB

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【影视】 [FreeTutorials.Us] Udemy - The Data Science Course 2018 Complete Data Science Bootcamp

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10. Statistics - Descriptive Statistics/10.1 2.5.The-Histogram-exercise.xlsx.xlsx 15.9 kB
10. Statistics - Descriptive Statistics/10.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx 17.5 kB
10. Statistics - Descriptive Statistics/10. Histogram Exercise.html 81 Bytes
10. Statistics - Descriptive Statistics/11.1 2.6. Cross table and scatter plot.xlsx.xlsx 26.7 kB
10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf.pdf 493.8 kB
10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.mp4 41.7 MB
10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.srt 6.8 kB
10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.vtt 6.0 kB
10. Statistics - Descriptive Statistics/12.1 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx 41.4 kB
10. Statistics - Descriptive Statistics/12.2 2.6. Cross table and scatter plot_exercise.xlsx.xlsx 16.7 kB
10. Statistics - Descriptive Statistics/12. Cross Tables and Scatter Plots Exercise.html 81 Bytes
10. Statistics - Descriptive Statistics/13.1 2.7. Mean, median and mode_lesson.xlsx.xlsx 10.7 kB
10. Statistics - Descriptive Statistics/13. Mean, median and mode.mp4 38.9 MB
10. Statistics - Descriptive Statistics/13. Mean, median and mode.srt 5.9 kB
10. Statistics - Descriptive Statistics/13. Mean, median and mode.vtt 5.1 kB
10. Statistics - Descriptive Statistics/14.1 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx 11.6 kB
10. Statistics - Descriptive Statistics/14.2 2.7. Mean, median and mode_exercise.xlsx.xlsx 11.1 kB
10. Statistics - Descriptive Statistics/14. Mean, Median and Mode Exercise.html 81 Bytes
10. Statistics - Descriptive Statistics/15.1 2.8. Skewness_lesson.xlsx.xlsx 35.5 kB
10. Statistics - Descriptive Statistics/15. Skewness.mp4 20.3 MB

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【影视】 Data Science on Google Cloud Platform - Building Data Pipelines

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4.3. Setting Up Dataflow/14.Setting up Python.mp4 12.9 MB
1.Introduction/01.What goes into a data pipeline.mp4 6.9 MB
1.Introduction/02.Data science modules covered.en.srt 3.3 kB
1.Introduction/02.Data science modules covered.mp4 3.5 MB
2.1. GCP Data Pipeline Products/03.GCP data pipeline options.en.srt 2.2 kB
2.1. GCP Data Pipeline Products/03.GCP data pipeline options.mp4 3.0 MB
2.1. GCP Data Pipeline Products/04.Cloud Dataproc.en.srt 1.6 kB
2.1. GCP Data Pipeline Products/04.Cloud Dataproc.mp4 2.2 MB
2.1. GCP Data Pipeline Products/05.Cloud Dataflow.en.srt 1.9 kB
2.1. GCP Data Pipeline Products/05.Cloud Dataflow.mp4 2.3 MB
2.1. GCP Data Pipeline Products/06.Cloud Pub_Sub.en.srt 1.4 kB
2.1. GCP Data Pipeline Products/06.Cloud Pub_Sub.mp4 2.2 MB
3.2. Apache Beam/07.What is Apache Beam.en.srt 2.7 kB
3.2. Apache Beam/07.What is Apache Beam.mp4 2.9 MB
3.2. Apache Beam/08.Beam pipelines.en.srt 883 Bytes
3.2. Apache Beam/08.Beam pipelines.mp4 1.2 MB
3.2. Apache Beam/09.PCollections.en.srt 1.9 kB
3.2. Apache Beam/09.PCollections.mp4 2.2 MB
3.2. Apache Beam/10.Transforms.en.srt 2.0 kB
3.2. Apache Beam/10.Transforms.mp4 2.4 MB

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【影视】 Udemy - The Data Science Course 2018 Complete Data Science Bootcamp

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10. Statistics - Descriptive Statistics/10.1 2.5.The-Histogram-exercise.xlsx.xlsx 15.9 kB
10. Statistics - Descriptive Statistics/10.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx 17.5 kB
10. Statistics - Descriptive Statistics/10. Histogram Exercise.html 81 Bytes
10. Statistics - Descriptive Statistics/11.1 2.6. Cross table and scatter plot.xlsx.xlsx 26.7 kB
10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf.pdf 493.8 kB
10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.mp4 41.7 MB
10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.srt 6.8 kB
10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.vtt 6.0 kB
10. Statistics - Descriptive Statistics/12.1 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx 41.4 kB
10. Statistics - Descriptive Statistics/12.2 2.6. Cross table and scatter plot_exercise.xlsx.xlsx 16.7 kB
10. Statistics - Descriptive Statistics/12. Cross Tables and Scatter Plots Exercise.html 81 Bytes
10. Statistics - Descriptive Statistics/13.1 2.7. Mean, median and mode_lesson.xlsx.xlsx 10.7 kB
10. Statistics - Descriptive Statistics/13. Mean, median and mode.mp4 38.9 MB
10. Statistics - Descriptive Statistics/13. Mean, median and mode.srt 5.9 kB
10. Statistics - Descriptive Statistics/13. Mean, median and mode.vtt 5.1 kB
10. Statistics - Descriptive Statistics/14.1 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx 11.6 kB
10. Statistics - Descriptive Statistics/14.2 2.7. Mean, median and mode_exercise.xlsx.xlsx 11.1 kB
10. Statistics - Descriptive Statistics/14. Mean, Median and Mode Exercise.html 81 Bytes
10. Statistics - Descriptive Statistics/15.1 2.8. Skewness_lesson.xlsx.xlsx 35.5 kB
10. Statistics - Descriptive Statistics/15. Skewness.mp4 20.3 MB

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【影视】 [FreeCourseSite.com] Udemy - The Data Science Course 2018 Complete Data Science Bootcamp

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1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.mp4 51.4 MB
1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.srt 6.5 kB
1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.vtt 5.8 kB
1. Part 1 Introduction/2. What Does the Course Cover.mp4 65.3 MB
1. Part 1 Introduction/2. What Does the Course Cover.srt 5.2 kB
1. Part 1 Introduction/2. What Does the Course Cover.vtt 4.6 kB
10. Statistics - Descriptive Statistics/1. Types of Data.mp4 76.0 MB
10. Statistics - Descriptive Statistics/1. Types of Data.srt 6.1 kB
10. Statistics - Descriptive Statistics/1. Types of Data.vtt 5.4 kB
10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf.pdf 493.8 kB
10. Statistics - Descriptive Statistics/10. Histogram Exercise.html 81 Bytes
10. Statistics - Descriptive Statistics/10.1 2.5.The-Histogram-exercise.xlsx.xlsx 15.9 kB
10. Statistics - Descriptive Statistics/10.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx 17.5 kB
10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.mp4 41.7 MB
10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.srt 6.8 kB
10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.vtt 6.0 kB
10. Statistics - Descriptive Statistics/11.1 2.6. Cross table and scatter plot.xlsx.xlsx 26.7 kB
10. Statistics - Descriptive Statistics/12. Cross Tables and Scatter Plots Exercise.html 81 Bytes
10. Statistics - Descriptive Statistics/12.1 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx 41.4 kB
10. Statistics - Descriptive Statistics/12.2 2.6. Cross table and scatter plot_exercise.xlsx.xlsx 16.7 kB

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【影视】 [UdemyCourseDownloader] The Data Science Course 2018 Complete Data Science Bootcamp

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11. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 167.2 MB
udemycoursedownloader.com.url 132 Bytes
1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.mp4 51.4 MB
1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.srt 6.5 kB
1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.vtt 5.8 kB
1. Part 1 Introduction/2. What Does the Course Cover.mp4 65.3 MB
1. Part 1 Introduction/2. What Does the Course Cover.srt 5.2 kB
1. Part 1 Introduction/2. What Does the Course Cover.vtt 4.6 kB
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
2. The Field of Data Science - The Various Data Science Disciplines/1. Data Science and Business Buzzwords Why are there so many.srt 6.8 kB
2. The Field of Data Science - The Various Data Science Disciplines/1. Data Science and Business Buzzwords Why are there so many.vtt 6.0 kB
2. The Field of Data Science - The Various Data Science Disciplines/2. Data Science and Business Buzzwords Why are there so many.html 161 Bytes
2. The Field of Data Science - The Various Data Science Disciplines/3. What is the difference between Analysis and Analytics.mp4 56.2 MB
2. The Field of Data Science - The Various Data Science Disciplines/3. What is the difference between Analysis and Analytics.srt 5.2 kB
2. The Field of Data Science - The Various Data Science Disciplines/3. What is the difference between Analysis and Analytics.vtt 4.5 kB
2. The Field of Data Science - The Various Data Science Disciplines/4. What is the difference between Analysis and Analytics.html 161 Bytes
2. The Field of Data Science - The Various Data Science Disciplines/5. Business Analytics, Data Analytics, and Data Science An Introduction.mp4 67.6 MB
2. The Field of Data Science - The Various Data Science Disciplines/5. Business Analytics, Data Analytics, and Data Science An Introduction.srt 10.9 kB
2. The Field of Data Science - The Various Data Science Disciplines/5. Business Analytics, Data Analytics, and Data Science An Introduction.vtt 9.5 kB
2. The Field of Data Science - The Various Data Science Disciplines/5.1 365_DataScience_Diagram.pdf.pdf 330.8 kB

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【影视】 [FreeCourseSite.com] Udemy - The Data Science Course 2019 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 151.3 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 104.1 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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【影视】 [FTUForum.com] [UDEMY] Complete Data Wrangling & Data Visualisation With Python [FTU]

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8. Most Common Data Visualizations/4. Barplot.mp4 179.0 MB
2. Read in Data From Different Sources With Pandas/4. Read in HTML Data.mp4 135.8 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data and Code.zip.zip 129.3 MB
8. Most Common Data Visualizations/6. Line Charts.mp4 122.5 MB
8. Most Common Data Visualizations/3. Scatter plot-Relationship Between Two Numerical Variables.mp4 112.0 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4 110.2 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPythonJupyter.mp4 107.7 MB
5. More Data Wrangling/2. Data Subsetting and Indexing.mp4 106.9 MB
8. Most Common Data Visualizations/1. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4 103.9 MB
5. More Data Wrangling/1. Data Grouping.mp4 102.6 MB
5. More Data Wrangling/8. Merging and Joining.mp4 101.5 MB
3. Data Cleaning/5. Theory Behind k-NN Algorithm.mp4 100.9 MB
2. Read in Data From Different Sources With Pandas/1. What are Pandas.mp4 89.2 MB
5. More Data Wrangling/6. Ranking & Sorting.mp4 86.3 MB
8. Most Common Data Visualizations/9. And Some More.mp4 82.3 MB
8. Most Common Data Visualizations/8. Some More Plot Types.mp4 79.7 MB
5. More Data Wrangling/7. Concatenate.mp4 73.5 MB
5. More Data Wrangling/3. More Data Subsetting.mp4 72.7 MB
7. Theory Behind Data Visualisation/1. What is Data Visualisation.mp4 71.7 MB
7. Theory Behind Data Visualisation/2. Some Theoretical Principles Behind Data Visualisation.mp4 69.3 MB

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【影视】 [DesireCourse.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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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 151.3 MB
10. Combinatorics/20. A Practical Example of Combinatorics.mp4 140.7 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
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
51. Deep Learning - Business Case Example/1. Business Case Getting acquainted with the dataset.mp4 91.9 MB
58. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.mp4 91.1 MB
36. Advanced Statistical Methods - Logistic Regression/3. Logistic vs Logit Function.mp4 90.7 MB

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26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 358.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 344.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 342.2 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 301.9 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 280.5 MB
20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.7 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.6 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 241.7 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 223.4 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 217.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 207.4 MB
26. Presenting for Data Scientists/7. How to present to executives.mp4 207.1 MB
25. Working with people/6. The art of saying No.mp4 205.9 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 199.0 MB
10. Multiple Linear Regression/8. Backward Elimination - Practice time.mp4 196.0 MB
25. Working with people/8. Building a data culture.mp4 194.2 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 188.3 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 181.9 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 179.7 MB
10. Multiple Linear Regression/10. Interpreting coefficients of MLR.mp4 176.9 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 104.1 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
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[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/01 Data science isn't just for capitalists.mp4 19.3 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/17 Data for good groups.mp4 11.1 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/18 World discussions.mp4 9.4 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/03 Oversight to data use.mp4 9.2 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/10 Decision applications.mp4 9.0 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/02 How data is used everyday.mp4 8.4 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/08 Problems that can be solved.mp4 8.3 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/09 Research applications.mp4 8.1 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/14 Open source presentation.mp4 7.3 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/04 Machine learning and data science overview.mp4 6.9 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/07 Application for data for good.mp4 6.8 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/13 Open source analytics.mp4 6.2 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/21 The next steps for using data for good.mp4 3.0 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/06 Solution Define machine learning.mp4 2.5 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/16 Solution Set up a mock project.mp4 2.4 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/12 Solution Decision example.mp4 2.1 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/20 Solution Finding a challenge.mp4 2.1 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/05 Challenge Define machine learning.mp4 2.0 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/15 Challenge Set up a mock project.mp4 1.9 MB
[TutsNode.com] - Data for Good Using Data Science in Nonprofits and NGOs/11 Challenge Decision example.mp4 1.7 MB

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The Covid-19 Data is a ‘Travesty’ - How the UK and US Covid Death Data is Inflated - 1080p H264 AAC.mp4 393.1 MB
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7. Advanced Data Preparation/3. Data interpreter - new Tableau 9 feature.mp4 156.3 MB
4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 115.8 MB
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5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating calculated fields in a Blend (advanced topic).mp4 100.0 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/5. Data Blending in Tableau.mp4 96.3 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/6. The showdown Joining Data v.s. Blending Data in Tableau.mp4 96.2 MB
3. Timeseries, Aggregation, and Filters/5. Creating an area chart & learning about highlighting.mp4 91.8 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis chart.mp4 91.8 MB
4. Maps, Scatterplots, and Your First Dashboard/7. Adding an interactive action - Highlighting.mp4 89.4 MB
4. Maps, Scatterplots, and Your First Dashboard/4. Creating a scatter plot, applying filters to multiple worksheets.mp4 78.7 MB
3. Timeseries, Aggregation, and Filters/6. Adding a filter and quick filter.mp4 76.5 MB
3. Timeseries, Aggregation, and Filters/2. Working with Data Extracts in Tableau.mp4 71.6 MB
3. Timeseries, Aggregation, and Filters/4. Understanding aggregation, granularity, and level of detail.mp4 70.3 MB
4. Maps, Scatterplots, and Your First Dashboard/6. Adding an interactive action - Filter.mp4 67.5 MB
3. Timeseries, Aggregation, and Filters/3. Working with timeseries.mp4 65.9 MB
7. Advanced Data Preparation/7. Fixing Geographical Data Errors in Tableau.mp4 61.0 MB
4. Maps, Scatterplots, and Your First Dashboard/5. Let's create our first dashboard!.mp4 58.2 MB
7. Advanced Data Preparation/2. What format your data should be in.mp4 57.4 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/282 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/405 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/404 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/394 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/225 Practical Example_ Linear Regression (Part 1).mp4 101.8 MB
20 Statistics - Hypothesis Testing/120 Null vs Alternative Hypothesis.mp4 96.5 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 107.6 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
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4. Charts to highlight numbers/2. Styling tab for data table.mp4 99.8 MB
16. Sometimes data is in multiple tables/1. Blending data from multiple tables.mp4 82.5 MB
4. Charts to highlight numbers/1. Data Table.mp4 81.3 MB
1. Introduction/3. Why Data Studio.mp4 79.3 MB
9. Relationship between two or more variables Scatter plots/1. Scatter Plots and Bubble charts.mp4 77.7 MB
14. Giving the power to filter Data to viewers/1. Filter controls for viewers.mp4 71.3 MB
8. Highlighting contribution to total Pie chart & Donut Chart/2. Stacked Area Charts.mp4 70.0 MB
5. Charts for comparing categories Bar charts and stacked charts/1. Simple Bar and Column chart.mp4 69.9 MB
4. Charts to highlight numbers/3. Scorecards.mp4 68.9 MB
7. Charts to highlight trends Time Series, Line and Area charts/1. Time Series.mp4 68.2 MB
18. Google BigQuery Connection/1. Connecting and Visualizing Data in Google BigQuery.mp4 65.4 MB
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17. Sharing and Collaborating on Data Studio report/2. Sharing report and Data Credentials.mp4 61.8 MB
3. Practical part begins here/1. Opening Data Studio.mp4 61.5 MB
10. Aggregating on two dimensions Pivot tables/1. Pivot tables for cross tabulation.mp4 61.3 MB
5. Charts for comparing categories Bar charts and stacked charts/2. Stacked Column chart.mp4 54.5 MB
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8. Highlighting contribution to total Pie chart & Donut Chart/1. Pie Chart and Donut Chart.mp4 45.0 MB
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06_Unit_Testing/12.mp4 37.9 MB
14_Database_Design/6.mp4 36.6 MB
12_Introduction_To_AWS_Boto_In_Python/12.mp4 34.6 MB
12_Introduction_To_AWS_Boto_In_Python/14.mp4 34.0 MB
18_Introduction_To_Spark_Sql_In_Python/8.mp4 32.4 MB
15_Introduction_To_Scala/4.mp4 30.8 MB
18_Introduction_To_Spark_Sql_In_Python/4.mp4 29.8 MB
15_Introduction_To_Scala/12.mp4 29.4 MB
18_Introduction_To_Spark_Sql_In_Python/5.mp4 29.4 MB
12_Introduction_To_AWS_Boto_In_Python/1.mp4 28.8 MB
23_Introduction_To_MongoDB_In_Python/10.mp4 28.3 MB
04_Writing_Efficient_Python_Code/7.mp4 27.6 MB
18_Introduction_To_Spark_Sql_In_Python/6.mp4 27.0 MB
15_Introduction_To_Scala/13.mp4 26.9 MB
15_Introduction_To_Scala/7.mp4 26.5 MB
06_Unit_Testing/16.mp4 26.3 MB
12_Introduction_To_AWS_Boto_In_Python/8.mp4 26.3 MB
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