[GigaCourse.Com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

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[GigaCourse.Com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

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文件列表

  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 358.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 344.7 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 301.8 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 206.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 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
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 176.4 MB
  • 25. Working with people/5. Go and sit with them.mp4 176.2 MB
  • 10. Multiple Linear Regression/9. Using Adjusted R-squared to create Robust models.mp4 175.3 MB
  • 14. Drawing insights from your model/2. Power insights from your CAP.mp4 169.0 MB
  • 25. Working with people/2. Cross-departmental Work.mp4 161.0 MB
  • 13. Assessing your model/9. Comparing training performance and test performance.mp4 160.8 MB
  • 15. Model maintenance/3. Why do models deteriorate.mp4 157.7 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 154.6 MB
  • 6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).mp4 154.5 MB
  • 13. Assessing your model/8. Applying the model to test data.mp4 151.5 MB
  • 6. Advanced Data Mining With Tableau/7. Visualising Balance and Estimated Salary distribution.mp4 151.3 MB
  • 12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.mp4 146.5 MB
  • 22. ETL Phase 3 Data Wrangling after the load/13. Converting data on the fly.mp4 145.4 MB
  • 12. Building a robust geodemographic segmentation model/2. Get the dataset.mp4 136.5 MB
  • 22. ETL Phase 3 Data Wrangling after the load/12. Adding leading zeros.mp4 136.0 MB
  • 25. Working with people/4. Setting expectations and pre-project communication.mp4 132.9 MB
  • 5. How to use Tableau for Data Mining/2. Get the Dataset + Project Overview.mp4 132.1 MB
  • 23. Handling errors during ETL (Phase 3)/7. How to deal with errors using the isdate() function.mp4 123.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/7. Create table.mp4 122.7 MB
  • 22. ETL Phase 3 Data Wrangling after the load/6. Modifying Stored Procedures.mp4 121.1 MB
  • 26. Presenting for Data Scientists/6. My brainstorming method.mp4 116.5 MB
  • 26. Presenting for Data Scientists/3. Analysing the intro.mp4 115.8 MB
  • 23. Handling errors during ETL (Phase 3)/5. How to deal with errors using the isnumeric() function.mp4 113.9 MB
  • 23. Handling errors during ETL (Phase 3)/6. How to deal errors using the len() function.mp4 113.8 MB
  • 11. Logistic Regression/8. Interpreting coefficients of a logistic regression.mp4 108.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/11. Automating Error Handling in SSIS Conditional Split (Level 2).mp4 108.3 MB
  • 12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.mp4 107.9 MB
  • 26. Presenting for Data Scientists/8. The truth is not always pretty.mp4 104.6 MB
  • 10. Multiple Linear Regression/7. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp4 103.7 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/13. Due Dilligence the one thing you HAVE to do every time.mp4 102.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/7. What do you do when your source file is corrupt (Part 2).mp4 101.8 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/5. SSIS Error Text qualifier not specified.mp4 101.4 MB
  • 6. Advanced Data Mining With Tableau/5. Validating Tableau Data Mining with a Chi-Squared test.mp4 101.2 MB
  • 21. SQL Programming for Data Science/6. Using the WHERE clause to filter data.mp4 100.3 MB
  • 25. Working with people/7. Sometimes you have to go to the top.mp4 98.9 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/10. Automating Error Handling in SSIS Conditional Split.mp4 98.1 MB
  • 23. Handling errors during ETL (Phase 3)/4. Create Stored Proc.mp4 97.8 MB
  • 6. Advanced Data Mining With Tableau/2. Creating bins & Visualizing distributions.mp4 97.7 MB
  • 12. Building a robust geodemographic segmentation model/6. Transforming independent variables.mp4 96.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 94.6 MB
  • 11. Logistic Regression/5. Your first logistic regression.mp4 93.4 MB
  • 21. SQL Programming for Data Science/9. Order By.mp4 92.9 MB
  • 21. SQL Programming for Data Science/17. Practicing Joins.mp4 90.9 MB
  • 22. ETL Phase 3 Data Wrangling after the load/9. Check if table exists + drop table + Truncate.mp4 90.2 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/16. Homework.mp4 88.7 MB
  • 21. SQL Programming for Data Science/5. SELECT Statement.mp4 87.3 MB
  • 11. Logistic Regression/4. Logistic regression intuition.mp4 86.7 MB
  • 13. Assessing your model/6. Get my CAP curve template.mp4 85.7 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/15. Summary.mp4 84.5 MB
  • 11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.mp4 83.1 MB
  • 25. Working with people/3. Come to me with a Business Problem.mp4 82.8 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/5. Setting up your database connection and creating a RAW table.mp4 82.6 MB
  • 5. How to use Tableau for Data Mining/8. Handy trick to validate your approach data.mp4 80.6 MB
  • 27. Homework Solutions/1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.mp4 80.3 MB
  • 12. Building a robust geodemographic segmentation model/7. Creating derived variables.mp4 80.2 MB
  • 1. Get Excited/1. Welcome to Data Science A-Z™.mp4 78.7 MB
  • 12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.mp4 78.5 MB
  • 21. SQL Programming for Data Science/7. How to use Wildcards Regular Expressions in SQL (% and _).mp4 75.9 MB
  • 26. Presenting for Data Scientists/9. Passion and the Wow-factor.mp4 75.5 MB
  • 14. Drawing insights from your model/4. Odds ratio (advanced topic).mp4 74.5 MB
  • 22. ETL Phase 3 Data Wrangling after the load/15. Archiving Procs.mp4 73.3 MB
  • 10. Multiple Linear Regression/4. Dummy Variables.mp4 73.1 MB
  • 5. How to use Tableau for Data Mining/7. Looking for anomalies.mp4 72.7 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/4. Two things you HAVE to do before the load.mp4 72.5 MB
  • 6. Advanced Data Mining With Tableau/9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).mp4 71.9 MB
  • 9. Simple Linear Regression/5. Reading Linear Regression Output.mp4 69.0 MB
  • 9. Simple Linear Regression/6. Plotting and analysing the graph.mp4 67.0 MB
  • 23. Handling errors during ETL (Phase 3)/12. ETL Error Handling Vehicle Service Project.mp4 65.4 MB
  • 10. Multiple Linear Regression/3. Get the dataset.mp4 65.3 MB
  • 26. Presenting for Data Scientists/1. Intro (what you will learn in this section).mp4 64.6 MB
  • 21. SQL Programming for Data Science/13. Working with NULLs.mp4 64.4 MB
  • 23. Handling errors during ETL (Phase 3)/9. Additional Quality Assurance check ZipCode.mp4 62.9 MB
  • 12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.mp4 62.5 MB
  • 2. What is Data Science/3. Profession of the future.mp4 60.8 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/4. Setting up your flat file source connection.mp4 60.7 MB
  • 11. Logistic Regression/1. Intro (what you will learn in this section).mp4 60.7 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/9. Handy trick for finding anomalies in SQL.mp4 60.6 MB
  • 10. Multiple Linear Regression/6. Understanding the P-Value.mp4 59.2 MB
  • 21. SQL Programming for Data Science/12. Using Cast() vs Convert().mp4 58.7 MB
  • 27. Homework Solutions/2. Advanced Data Mining with Tableau Chi-Squared Test for Country.mp4 58.7 MB
  • 13. Assessing your model/5. Assessing your model using the CAP curve.mp4 55.6 MB
  • 27. Homework Solutions/7. THANK YOU bonus video.mp4 54.8 MB
  • 7. --------------------------- Part 2 Modelling ---------------------------/1. Welcome to Part 2.mp4 52.8 MB
  • 23. Handling errors during ETL (Phase 3)/11. Part Completed.mp4 52.6 MB
  • 13. Assessing your model/3. Cumulative Accuracy Profile (CAP).mp4 52.1 MB
  • 23. Handling errors during ETL (Phase 3)/8. Additional Quality Assurance check Balance.mp4 51.4 MB
  • 4. Introduction to Tableau/8. Adding labels and formatting.mp4 50.4 MB
  • 22. ETL Phase 3 Data Wrangling after the load/4. Create your first Stored Proc in SQL.mp4 50.4 MB
  • 5. How to use Tableau for Data Mining/6. Adding a Reference Line.mp4 48.6 MB
  • 21. SQL Programming for Data Science/11. Implicit Data Conversion in SQL.mp4 48.5 MB
  • 10. Multiple Linear Regression/1. Intro (what you will learn in this section).mp4 48.3 MB
  • 17. Business Intelligence (BI) Tools/8. Installing SSDT with MSVS Shell.mp4 48.1 MB
  • 23. Handling errors during ETL (Phase 3)/10. Additional Quality Assurance check Birthday.mp4 47.0 MB
  • 11. Logistic Regression/6. False Positives and False Negatives.mp4 46.2 MB
  • 15. Model maintenance/2. What does model deterioration look like.mp4 45.5 MB
  • 6. Advanced Data Mining With Tableau/3. Creating a classification test for a numeric variable.mp4 44.9 MB
  • 5. How to use Tableau for Data Mining/3. Connecting Tableau to an Excel File.mp4 44.8 MB
  • 5. How to use Tableau for Data Mining/4. How to visualise an AB test in Tableau.mp4 43.8 MB
  • 15. Model maintenance/4. Three levels of maintenance for deployed models.mp4 42.1 MB
  • 22. ETL Phase 3 Data Wrangling after the load/14. How to create a proc template.mp4 40.9 MB
  • 9. Simple Linear Regression/3. Get the dataset.mp4 39.9 MB
  • 2. What is Data Science/4. Areas of Data Science.mp4 39.5 MB
  • 12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).mp4 39.0 MB
  • 11. Logistic Regression/2. Get the dataset.mp4 38.2 MB
  • 2. What is Data Science/5. IMPORTANT Course Pathways.mp4 38.0 MB
  • 14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).mp4 38.0 MB
  • 3. --------------------------- Part 1 Visualisation ---------------------------/1. Welcome to Part 1.mp4 37.7 MB
  • 22. ETL Phase 3 Data Wrangling after the load/5. Executing Stored Procedures.mp4 36.9 MB
  • 5. How to use Tableau for Data Mining/5. Working with Aliases.mp4 36.8 MB
  • 9. Simple Linear Regression/2. Introduction to Gretl.mp4 36.6 MB
  • 22. ETL Phase 3 Data Wrangling after the load/1. Intro (what you will learn in this section).mp4 36.6 MB
  • 21. SQL Programming for Data Science/8. Comments in SQL.mp4 36.2 MB
  • 21. SQL Programming for Data Science/14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.mp4 35.6 MB
  • 6. Advanced Data Mining With Tableau/10. Section Recap.mp4 34.9 MB
  • 21. SQL Programming for Data Science/16. Joining on multiple fields.mp4 34.9 MB
  • 12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.mp4 34.7 MB
  • 23. Handling errors during ETL (Phase 3)/1. Intro (what you will learn in this section).mp4 34.5 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/6. Run the Upload & Disable.mp4 34.5 MB
  • 16. --------------------------- Part 3 Data Preparation ---------------------------/1. Welcome to Part 3.mp4 34.3 MB
  • 9. Simple Linear Regression/4. Import data and run descriptive statistics.mp4 33.3 MB
  • 4. Introduction to Tableau/5. Navigating Tableau - Measures and Dimensions.mp4 32.8 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/7. Due Dilligence Upload Quality Assurance.mp4 32.7 MB
  • 4. Introduction to Tableau/9. Exporting your worksheet.mp4 32.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/1. Intro (what you will learn in this section).mp4 32.4 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/1. Intro (what you will learn in this section).mp4 32.4 MB
  • 4. Introduction to Tableau/7. Adding colours.mp4 32.0 MB
  • 10. Multiple Linear Regression/11. Section Recap.mp4 31.3 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/1. Intro (what you will learn in this section).mp4 30.7 MB
  • 21. SQL Programming for Data Science/10. Data Types in SQL.mp4 29.6 MB
  • 13. Assessing your model/7. How to use test data to prevent overfitting your model.mp4 29.0 MB
  • 5. How to use Tableau for Data Mining/9. Section Recap.mp4 29.0 MB
  • 6. Advanced Data Mining With Tableau/4. Combining two charts and working with them in Tableau.mp4 28.2 MB
  • 4. Introduction to Tableau/2. Installing Tableau Desktop and Tableau Public (FREE).mp4 28.1 MB
  • 22. ETL Phase 3 Data Wrangling after the load/2. RAW, WRK, DRV tables.mp4 27.9 MB
  • 6. Advanced Data Mining With Tableau/1. Intro (what you will learn in this section).mp4 27.8 MB
  • 5. How to use Tableau for Data Mining/1. Intro (what you will learn in this section).mp4 27.7 MB
  • 25. Working with people/1. Intro (what you will learn in this section).mp4 27.7 MB
  • 17. Business Intelligence (BI) Tools/3. What is a Data Warehouse What is a Database.mp4 27.5 MB
  • 4. Introduction to Tableau/4. Connecting Tableau to a Data file - CSV file.mp4 26.4 MB
  • 4. Introduction to Tableau/6. Creating a calculated field.mp4 25.8 MB
  • 8. Stats Refresher/2. Types of variables Categorical vs Numeric.mp4 25.5 MB
  • 14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).mp4 24.9 MB
  • 17. Business Intelligence (BI) Tools/5. Important Practice Database.mp4 23.9 MB
  • 22. ETL Phase 3 Data Wrangling after the load/8. Insert INTO.mp4 23.6 MB
  • 15. Model maintenance/1. Intro (what you will learn in this section).mp4 23.6 MB
  • 13. Assessing your model/1. Intro (what you will learn in this section).mp4 23.6 MB
  • 9. Simple Linear Regression/1. Intro (what you will learn in this section).mp4 23.5 MB
  • 26. Presenting for Data Scientists/2. Case study.mp4 23.3 MB
  • 4. Introduction to Tableau/3. Challenge description + view data in file.mp4 23.1 MB
  • 13. Assessing your model/10. Section Recap.mp4 22.5 MB
  • 6. Advanced Data Mining With Tableau/6. Chi-Squared test when there is more than 2 categories.mp4 22.4 MB
  • 10. Multiple Linear Regression/5. Dummy Variable Trap.mp4 21.9 MB
  • 11. Logistic Regression/7. Confusion Matrix.mp4 21.5 MB
  • 2. What is Data Science/2. Updates on Udemy Reviews.mp4 21.4 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/6. Editpad Lite.mp4 21.4 MB
  • 14. Drawing insights from your model/1. Intro (what you will learn in this section).mp4 21.2 MB
  • 17. Business Intelligence (BI) Tools/4. Setting up Microsoft SQL Server 2014 for practice.mp4 21.1 MB
  • 4. Introduction to Tableau/10. Section Recap.mp4 21.0 MB
  • 21. SQL Programming for Data Science/1. Intro (what you will learn in this section).mp4 20.3 MB
  • 22. ETL Phase 3 Data Wrangling after the load/10. Intermediate Recap - Procs.mp4 19.1 MB
  • 17. Business Intelligence (BI) Tools/7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .mp4 19.0 MB
  • 8. Stats Refresher/1. Intro (what you will learn in this section).mp4 18.6 MB
  • 14. Drawing insights from your model/7. Section Recap.mp4 17.7 MB
  • 21. SQL Programming for Data Science/3. Getting To Know MS SQL Management Studio.mp4 17.4 MB
  • 4. Introduction to Tableau/1. Intro (what you will learn in this section).mp4 17.4 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/2. Starting and navigating an SSIS Project.mp4 17.3 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/3. Creating a flat file source task and OLE DB destination.mp4 17.3 MB
  • 24. --------------------------- Part 4 Communication ---------------------------/1. Welcome to Part 4.mp4 16.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/14. Types of Errors in SSIS.mp4 15.9 MB
  • 21. SQL Programming for Data Science/15. Joins with duplicate values.mp4 15.4 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/2. Preparing your folder structure for your Data Science project.mp4 15.1 MB
  • 17. Business Intelligence (BI) Tools/1. Intro (what you will learn in this section).mp4 14.6 MB
  • 8. Stats Refresher/6. Adjusted R-squared.mp4 14.5 MB
  • 21. SQL Programming for Data Science/4. Shortcut to upload the data.mp4 14.5 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/3. Download the dataset for this section.mp4 11.5 MB
  • 13. Assessing your model/2. Accuracy paradox.mp4 11.4 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/5. Notepad ++.mp4 11.4 MB
  • 8. Stats Refresher/3. Types of regressions.mp4 10.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/3. Download the dataset for this section.mp4 10.8 MB
  • 17. Business Intelligence (BI) Tools/6. ETL for Data Science - what is Extract Transform Load (ETL).mp4 8.7 MB
  • 10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.mp4 8.5 MB
  • 2. What is Data Science/1. Intro (what you will learn in this section).mp4 8.1 MB
  • 15. Model maintenance/5. Section Recap.mp4 8.0 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/2. Download the dataset for this section.mp4 7.5 MB
  • 8. Stats Refresher/5. R-squared.mp4 7.1 MB
  • 21. SQL Programming for Data Science/2. Download the dataset for this section.mp4 6.3 MB
  • 23. Handling errors during ETL (Phase 3)/2. Download the dataset for this section.mp4 5.7 MB
  • 17. Business Intelligence (BI) Tools/2. Working with Data.mp4 5.6 MB
  • 6. Advanced Data Mining With Tableau/11. Part Completed.mp4 5.4 MB
  • 8. Stats Refresher/4. Ordinary Least Squares.mp4 4.4 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).srt 29.8 kB
  • 6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).srt 29.3 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).srt 28.8 kB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.srt 28.5 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/15. Summary.srt 27.8 kB
  • 11. Logistic Regression/4. Logistic regression intuition.srt 25.9 kB
  • 10. Multiple Linear Regression/8. Backward Elimination - Practice time.srt 25.6 kB
  • 15. Model maintenance/3. Why do models deteriorate.srt 25.4 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.srt 24.5 kB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).srt 24.4 kB
  • 10. Multiple Linear Regression/7. Ways to build a model BACKWARD, FORWARD, STEPWISE.srt 24.1 kB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.srt 24.1 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.srt 24.0 kB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.srt 22.8 kB
  • 14. Drawing insights from your model/2. Power insights from your CAP.srt 21.7 kB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).srt 21.3 kB
  • 10. Multiple Linear Regression/6. Understanding the P-Value.srt 21.1 kB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].srt 20.1 kB
  • 10. Multiple Linear Regression/10. Interpreting coefficients of MLR.srt 19.0 kB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).srt 18.1 kB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.srt 17.4 kB
  • 6. Advanced Data Mining With Tableau/7. Visualising Balance and Estimated Salary distribution.srt 17.1 kB
  • 13. Assessing your model/9. Comparing training performance and test performance.srt 17.1 kB
  • 4. Introduction to Tableau/8. Adding labels and formatting.srt 17.0 kB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.srt 16.8 kB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.srt 16.8 kB
  • 13. Assessing your model/3. Cumulative Accuracy Profile (CAP).srt 16.6 kB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.srt 16.4 kB
  • 10. Multiple Linear Regression/9. Using Adjusted R-squared to create Robust models.srt 15.6 kB
  • 6. Advanced Data Mining With Tableau/5. Validating Tableau Data Mining with a Chi-Squared test.srt 15.3 kB
  • 22. ETL Phase 3 Data Wrangling after the load/13. Converting data on the fly.srt 15.3 kB
  • 12. Building a robust geodemographic segmentation model/6. Transforming independent variables.srt 15.1 kB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).srt 14.9 kB
  • 8. Stats Refresher/6. Adjusted R-squared.srt 14.8 kB
  • 22. ETL Phase 3 Data Wrangling after the load/7. Create table.srt 14.7 kB
  • 6. Advanced Data Mining With Tableau/9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).srt 14.5 kB
  • 11. Logistic Regression/8. Interpreting coefficients of a logistic regression.srt 14.4 kB
  • 17. Business Intelligence (BI) Tools/5. Important Practice Database.srt 14.3 kB
  • 6. Advanced Data Mining With Tableau/2. Creating bins & Visualizing distributions.srt 14.2 kB
  • 23. Handling errors during ETL (Phase 3)/11. Part Completed.srt 14.2 kB
  • 11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.srt 13.7 kB
  • 6. Advanced Data Mining With Tableau/4. Combining two charts and working with them in Tableau.srt 13.7 kB
  • 5. How to use Tableau for Data Mining/8. Handy trick to validate your approach data.srt 13.6 kB
  • 4. Introduction to Tableau/5. Navigating Tableau - Measures and Dimensions.srt 13.5 kB
  • 5. How to use Tableau for Data Mining/7. Looking for anomalies.srt 13.3 kB
  • 14. Drawing insights from your model/4. Odds ratio (advanced topic).srt 13.2 kB
  • 22. ETL Phase 3 Data Wrangling after the load/6. Modifying Stored Procedures.srt 13.1 kB
  • 12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.srt 13.0 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/11. Automating Error Handling in SSIS Conditional Split (Level 2).srt 12.9 kB
  • 15. Model maintenance/4. Three levels of maintenance for deployed models.srt 12.6 kB
  • 8. Stats Refresher/3. Types of regressions.srt 12.4 kB
  • 10. Multiple Linear Regression/4. Dummy Variables.srt 12.4 kB
  • 6. Advanced Data Mining With Tableau/6. Chi-Squared test when there is more than 2 categories.srt 12.4 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/10. Automating Error Handling in SSIS Conditional Split.srt 12.3 kB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/5. Setting up your database connection and creating a RAW table.srt 12.3 kB
  • 17. Business Intelligence (BI) Tools/4. Setting up Microsoft SQL Server 2014 for practice.srt 12.2 kB
  • 11. Logistic Regression/5. Your first logistic regression.srt 12.1 kB
  • 12. Building a robust geodemographic segmentation model/2. Get the dataset.srt 11.9 kB
  • 12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.srt 11.9 kB
  • 4. Introduction to Tableau/7. Adding colours.srt 11.8 kB
  • 11. Logistic Regression/6. False Positives and False Negatives.srt 11.8 kB
  • 12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.srt 11.6 kB
  • 22. ETL Phase 3 Data Wrangling after the load/12. Adding leading zeros.srt 11.5 kB
  • 5. How to use Tableau for Data Mining/2. Get the Dataset + Project Overview.srt 11.3 kB
  • 23. Handling errors during ETL (Phase 3)/12. ETL Error Handling Vehicle Service Project.srt 11.2 kB
  • 23. Handling errors during ETL (Phase 3)/5. How to deal with errors using the isnumeric() function.srt 11.1 kB
  • 21. SQL Programming for Data Science/10. Data Types in SQL.srt 11.1 kB
  • 23. Handling errors during ETL (Phase 3)/6. How to deal errors using the len() function.srt 11.1 kB
  • 13. Assessing your model/8. Applying the model to test data.srt 11.0 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.srt 10.9 kB
  • 14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).srt 10.8 kB
  • 22. ETL Phase 3 Data Wrangling after the load/14. How to create a proc template.srt 10.7 kB
  • 13. Assessing your model/5. Assessing your model using the CAP curve.srt 10.6 kB
  • 2. What is Data Science/3. Profession of the future.srt 10.6 kB
  • 23. Handling errors during ETL (Phase 3)/7. How to deal with errors using the isdate() function.srt 10.2 kB
  • 13. Assessing your model/6. Get my CAP curve template.srt 10.1 kB
  • 4. Introduction to Tableau/9. Exporting your worksheet.srt 10.1 kB
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  • 21. SQL Programming for Data Science/14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.srt 9.8 kB
  • 2. What is Data Science/4. Areas of Data Science.srt 9.8 kB
  • 4. Introduction to Tableau/6. Creating a calculated field.srt 9.7 kB
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  • 12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.srt 9.4 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/7. What do you do when your source file is corrupt (Part 2).srt 9.4 kB
  • 26. Presenting for Data Scientists/7. How to present to executives.srt 9.4 kB
  • 22. ETL Phase 3 Data Wrangling after the load/9. Check if table exists + drop table + Truncate.srt 9.3 kB
  • 25. Working with people/6. The art of saying No.srt 9.1 kB
  • 2. What is Data Science/5. IMPORTANT Course Pathways.srt 8.9 kB
  • 22. ETL Phase 3 Data Wrangling after the load/8. Insert INTO.srt 8.9 kB
  • 21. SQL Programming for Data Science/5. SELECT Statement.srt 8.8 kB
  • 22. ETL Phase 3 Data Wrangling after the load/2. RAW, WRK, DRV tables.srt 8.8 kB
  • 27. Homework Solutions/1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.srt 8.8 kB
  • 12. Building a robust geodemographic segmentation model/7. Creating derived variables.srt 8.8 kB
  • 6. Advanced Data Mining With Tableau/10. Section Recap.srt 8.6 kB
  • 25. Working with people/5. Go and sit with them.srt 8.6 kB
  • 4. Introduction to Tableau/4. Connecting Tableau to a Data file - CSV file.srt 8.5 kB
  • 21. SQL Programming for Data Science/9. Order By.srt 8.1 kB
  • 21. SQL Programming for Data Science/6. Using the WHERE clause to filter data.srt 8.0 kB
  • 5. How to use Tableau for Data Mining/9. Section Recap.srt 7.9 kB
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  • 12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.srt 7.8 kB
  • 8. Stats Refresher/2. Types of variables Categorical vs Numeric.srt 7.8 kB
  • 5. How to use Tableau for Data Mining/6. Adding a Reference Line.srt 7.7 kB
  • 1. Get Excited/1. Welcome to Data Science A-Z™.srt 7.6 kB
  • 11. Logistic Regression/7. Confusion Matrix.srt 7.6 kB
  • 25. Working with people/8. Building a data culture.srt 7.6 kB
  • 8. Stats Refresher/5. R-squared.srt 7.5 kB
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  • 21. SQL Programming for Data Science/13. Working with NULLs.srt 7.2 kB
  • 22. ETL Phase 3 Data Wrangling after the load/15. Archiving Procs.srt 7.1 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/13. Due Dilligence the one thing you HAVE to do every time.srt 7.1 kB
  • 23. Handling errors during ETL (Phase 3)/4. Create Stored Proc.srt 7.0 kB
  • 21. SQL Programming for Data Science/17. Practicing Joins.srt 7.0 kB
  • 10. Multiple Linear Regression/11. Section Recap.srt 7.0 kB
  • 15. Model maintenance/2. What does model deterioration look like.srt 6.9 kB
  • 4. Introduction to Tableau/2. Installing Tableau Desktop and Tableau Public (FREE).srt 6.8 kB
  • 21. SQL Programming for Data Science/7. How to use Wildcards Regular Expressions in SQL (% and _).srt 6.7 kB
  • 10. Multiple Linear Regression/3. Get the dataset.srt 6.5 kB
  • 25. Working with people/2. Cross-departmental Work.srt 6.5 kB
  • 6. Advanced Data Mining With Tableau/3. Creating a classification test for a numeric variable.srt 6.4 kB
  • 9. Simple Linear Regression/6. Plotting and analysing the graph.srt 6.4 kB
  • 17. Business Intelligence (BI) Tools/8. Installing SSDT with MSVS Shell.srt 6.4 kB
  • 21. SQL Programming for Data Science/4. Shortcut to upload the data.srt 6.4 kB
  • 27. Homework Solutions/2. Advanced Data Mining with Tableau Chi-Squared Test for Country.srt 6.3 kB
  • 5. How to use Tableau for Data Mining/3. Connecting Tableau to an Excel File.srt 6.3 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.srt 6.2 kB
  • 9. Simple Linear Regression/4. Import data and run descriptive statistics.srt 6.1 kB
  • 22. ETL Phase 3 Data Wrangling after the load/10. Intermediate Recap - Procs.srt 6.0 kB
  • 5. How to use Tableau for Data Mining/5. Working with Aliases.srt 6.0 kB
  • 17. Business Intelligence (BI) Tools/7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .srt 5.9 kB
  • 14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).srt 5.8 kB
  • 7. --------------------------- Part 2 Modelling ---------------------------/1. Welcome to Part 2.srt 5.8 kB
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  • 9. Simple Linear Regression/3. Get the dataset.srt 5.7 kB
  • 11. Logistic Regression/2. Get the dataset.srt 5.7 kB
  • 23. Handling errors during ETL (Phase 3)/8. Additional Quality Assurance check Balance.srt 5.6 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/16. Homework.srt 5.6 kB
  • 4. Introduction to Tableau/10. Section Recap.srt 5.6 kB
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  • 25. Working with people/4. Setting expectations and pre-project communication.srt 5.6 kB
  • 23. Handling errors during ETL (Phase 3)/10. Additional Quality Assurance check Birthday.srt 5.5 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/14. Types of Errors in SSIS.srt 5.5 kB
  • 13. Assessing your model/10. Section Recap.srt 5.5 kB
  • 17. Business Intelligence (BI) Tools/3. What is a Data Warehouse What is a Database.srt 5.4 kB
  • 21. SQL Programming for Data Science/11. Implicit Data Conversion in SQL.srt 5.4 kB
  • 21. SQL Programming for Data Science/12. Using Cast() vs Convert().srt 5.3 kB
  • 26. Presenting for Data Scientists/6. My brainstorming method.srt 5.2 kB
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  • 14. Drawing insights from your model/7. Section Recap.srt 4.9 kB
  • 26. Presenting for Data Scientists/8. The truth is not always pretty.srt 4.9 kB
  • 23. Handling errors during ETL (Phase 3)/9. Additional Quality Assurance check ZipCode.srt 4.5 kB
  • 8. Stats Refresher/4. Ordinary Least Squares.srt 4.5 kB
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  • 22. ETL Phase 3 Data Wrangling after the load/5. Executing Stored Procedures.srt 4.2 kB
  • 9. Simple Linear Regression/2. Introduction to Gretl.srt 4.1 kB
  • 28. Bonus Lectures/1. YOUR SPECIAL BONUS.html 4.1 kB
  • 1. Get Excited/4. Your Shortcut To Becoming A Better Data Scientist!.html 4.1 kB
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  • 4. Introduction to Tableau/3. Challenge description + view data in file.srt 3.9 kB
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  • 18. ETL Phase 1 Data Wrangling before the Load/2. Preparing your folder structure for your Data Science project.srt 3.7 kB
  • 10. Multiple Linear Regression/5. Dummy Variable Trap.srt 3.6 kB
  • 25. Working with people/3. Come to me with a Business Problem.srt 3.5 kB
  • 26. Presenting for Data Scientists/9. Passion and the Wow-factor.srt 3.4 kB
  • 13. Assessing your model/2. Accuracy paradox.srt 3.4 kB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/7. Due Dilligence Upload Quality Assurance.srt 3.4 kB
  • 21. SQL Programming for Data Science/3. Getting To Know MS SQL Management Studio.srt 3.2 kB
  • 26. Presenting for Data Scientists/2. Case study.srt 3.2 kB
  • 17. Business Intelligence (BI) Tools/6. ETL for Data Science - what is Extract Transform Load (ETL).srt 3.1 kB
  • 3. --------------------------- Part 1 Visualisation ---------------------------/1. Welcome to Part 1.srt 3.0 kB
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  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/3. Creating a flat file source task and OLE DB destination.srt 2.8 kB
  • 10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.srt 2.8 kB
  • 26. Presenting for Data Scientists/3. Analysing the intro.srt 2.7 kB
  • 11. Logistic Regression/1. Intro (what you will learn in this section).srt 2.7 kB
  • 15. Model maintenance/5. Section Recap.srt 2.7 kB
  • 26. Presenting for Data Scientists/1. Intro (what you will learn in this section).srt 2.5 kB
  • 27. Homework Solutions/7. THANK YOU bonus video.srt 2.5 kB
  • 6. Advanced Data Mining With Tableau/11. Part Completed.srt 2.4 kB
  • 22. ETL Phase 3 Data Wrangling after the load/3. Download the dataset for this section.srt 2.3 kB
  • 18. ETL Phase 1 Data Wrangling before the Load/3. Download the dataset for this section.srt 2.2 kB
  • 24. --------------------------- Part 4 Communication ---------------------------/1. Welcome to Part 4.srt 2.2 kB
  • 2. What is Data Science/7. BONUS Interview with DJ Patil.html 2.1 kB
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  • 2. What is Data Science/2. Updates on Udemy Reviews.srt 2.0 kB
  • 12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).srt 1.9 kB
  • 18. ETL Phase 1 Data Wrangling before the Load/6. Editpad Lite.srt 1.8 kB
  • 1. Get Excited/2. BONUS Learning Paths.html 1.8 kB
  • 17. Business Intelligence (BI) Tools/2. Working with Data.srt 1.7 kB
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  • 23. Handling errors during ETL (Phase 3)/1. Intro (what you will learn in this section).srt 1.6 kB
  • 18. ETL Phase 1 Data Wrangling before the Load/5. Notepad ++.srt 1.5 kB
  • 18. ETL Phase 1 Data Wrangling before the Load/1. Intro (what you will learn in this section).srt 1.4 kB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/1. Intro (what you will learn in this section).srt 1.4 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/1. Intro (what you will learn in this section).srt 1.4 kB
  • 2. What is Data Science/1. Intro (what you will learn in this section).srt 1.3 kB
  • 5. How to use Tableau for Data Mining/1. Intro (what you will learn in this section).srt 1.3 kB
  • 23. Handling errors during ETL (Phase 3)/2. Download the dataset for this section.srt 1.3 kB
  • 25. Working with people/1. Intro (what you will learn in this section).srt 1.3 kB
  • 6. Advanced Data Mining With Tableau/1. Intro (what you will learn in this section).srt 1.2 kB
  • 13. Assessing your model/1. Intro (what you will learn in this section).srt 1.1 kB
  • 15. Model maintenance/1. Intro (what you will learn in this section).srt 1.1 kB
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  • 9. Simple Linear Regression/1. Intro (what you will learn in this section).srt 1.1 kB
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  • 4. Introduction to Tableau/1. Intro (what you will learn in this section).srt 895 Bytes
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  • 17. Business Intelligence (BI) Tools/1. Intro (what you will learn in this section).srt 653 Bytes
  • 26. Presenting for Data Scientists/11. Bonus links to other examples of good storytelling.html 609 Bytes
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