Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

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Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

磁力链接/BT种子简介

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收录时间：2022-01-09
最近下载：2024-12-03

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文件列表

  • 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
  • 26. Presenting for Data Scientists/7. How to present to executives.mp4 64.9 MB
  • 2. What is Data Science/2. Updates on Udemy Reviews.mp4 64.4 MB
  • 25. Working with people/6. The art of saying No.mp4 63.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/7. What do you do when your source file is corrupt (Part 2).mp4 63.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/16. Homework.mp4 62.6 MB
  • 25. Working with people/5. Go and sit with them.mp4 61.8 MB
  • 13. Assessing your model/8. Applying the model to test data.mp4 61.3 MB
  • 14. Drawing insights from your model/2. Power insights from your CAP.mp4 61.1 MB
  • 13. Assessing your model/9. Comparing training performance and test performance.mp4 61.1 MB
  • 12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.mp4 61.0 MB
  • 15. Model maintenance/3. Why do models deteriorate.mp4 60.5 MB
  • 25. Working with people/8. Building a data culture.mp4 59.7 MB
  • 27. Homework Solutions/7. THANK YOU bonus video.mp4 54.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/12. Adding leading zeros.mp4 54.6 MB
  • 7. --------------------------- Part 2 Modelling ---------------------------/1. Welcome to Part 2.mp4 52.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/13. Converting data on the fly.mp4 52.4 MB
  • 25. Working with people/2. Cross-departmental Work.mp4 51.7 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/11. Automating Error Handling in SSIS Conditional Split (Level 2).mp4 48.3 MB
  • 23. Handling errors during ETL (Phase 3)/7. How to deal with errors using the isdate() function.mp4 45.7 MB
  • 22. ETL Phase 3 Data Wrangling after the load/7. Create table.mp4 42.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/6. Modifying Stored Procedures.mp4 41.7 MB
  • 23. Handling errors during ETL (Phase 3)/6. How to deal errors using the len() function.mp4 41.4 MB
  • 23. Handling errors during ETL (Phase 3)/5. How to deal with errors using the isnumeric() function.mp4 40.6 MB
  • 21. SQL Programming for Data Science/17. Practicing Joins.mp4 40.4 MB
  • 25. Working with people/4. Setting expectations and pre-project communication.mp4 40.1 MB
  • 26. Presenting for Data Scientists/6. My brainstorming method.mp4 39.6 MB
  • 26. Presenting for Data Scientists/3. Analysing the intro.mp4 39.1 MB
  • 21. SQL Programming for Data Science/6. Using the WHERE clause to filter data.mp4 38.9 MB
  • 12. Building a robust geodemographic segmentation model/6. Transforming independent variables.mp4 38.5 MB
  • 11. Logistic Regression/8. Interpreting coefficients of a logistic regression.mp4 38.4 MB
  • 23. Handling errors during ETL (Phase 3)/4. Create Stored Proc.mp4 37.9 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/15. Summary.mp4 37.9 MB
  • 23. Handling errors during ETL (Phase 3)/11. Part Completed.mp4 37.8 MB
  • 21. SQL Programming for Data Science/9. Order By.mp4 35.7 MB
  • 12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.mp4 35.5 MB
  • 11. Logistic Regression/4. Logistic regression intuition.mp4 34.9 MB
  • 16. --------------------------- Part 3 Data Preparation ---------------------------/1. Welcome to Part 3.mp4 34.3 MB
  • 26. Presenting for Data Scientists/8. The truth is not always pretty.mp4 33.9 MB
  • 10. Multiple Linear Regression/7. Backward Elimination - Practice time.mp4 33.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/10. Automating Error Handling in SSIS Conditional Split.mp4 33.1 MB
  • 6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).mp4 32.8 MB
  • 21. SQL Programming for Data Science/5. SELECT Statement.mp4 32.7 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/5. SSIS Error Text qualifier not specified.mp4 32.0 MB
  • 3. --------------------------- Part 1 Visualisation ---------------------------/1. Welcome to Part 1.mp4 31.9 MB
  • 22. ETL Phase 3 Data Wrangling after the load/9. Check if table exists + drop table + Truncate.mp4 31.7 MB
  • 11. Logistic Regression/5. Your first logistic regression.mp4 31.6 MB
  • 22. ETL Phase 3 Data Wrangling after the load/14. How to create a proc template.mp4 31.5 MB
  • 10. Multiple Linear Regression/4. Dummy Variables.mp4 31.3 MB
  • 12. Building a robust geodemographic segmentation model/7. Creating derived variables.mp4 30.1 MB
  • 23. Handling errors during ETL (Phase 3)/9. Additional Quality Assurance check ZipCode.mp4 29.9 MB
  • 25. Working with people/7. Sometimes you have to go to the top.mp4 29.9 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/13. Due Dilligence the one thing you HAVE to do every time.mp4 29.5 MB
  • 4. Introduction to Tableau/2. Installing Tableau Desktop and Tableau Public (FREE).mp4 29.4 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 28.7 MB
  • 14. Drawing insights from your model/4. Odds ratio (advanced topic).mp4 28.6 MB
  • 6. Advanced Data Mining With Tableau/4. Combining two charts and working with them in Tableau.mp4 28.2 MB
  • 11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.mp4 28.1 MB
  • 25. Working with people/3. Come to me with a Business Problem.mp4 27.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/15. Archiving Procs.mp4 27.8 MB
  • 21. SQL Programming for Data Science/7. How to use Wildcards Regular Expressions in SQL (% and _).mp4 27.4 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/4. Two things you HAVE to do before the load.mp4 26.5 MB
  • 11. Logistic Regression/1. Intro (what you will learn in this section).mp4 26.5 MB
  • 12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.mp4 26.2 MB
  • 6. Advanced Data Mining With Tableau/7. Visualising Balance and Estimated Salary distribution.mp4 25.9 MB
  • 23. Handling errors during ETL (Phase 3)/12. ETL Error Handling Vehicle Service Project.mp4 25.9 MB
  • 12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.mp4 25.6 MB
  • 26. Presenting for Data Scientists/9. Passion and the Wow-factor.mp4 24.9 MB
  • 21. SQL Programming for Data Science/13. Working with NULLs.mp4 24.6 MB
  • 1. Get Excited/1. Welcome to Data Science A-Z™.mp4 23.9 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
  • 9. Simple Linear Regression/5. Reading Linear Regression Output.mp4 23.4 MB
  • 9. Simple Linear Regression/6. Plotting and analysing the graph.mp4 23.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/9. Handy trick for finding anomalies in SQL.mp4 23.3 MB
  • 26. Presenting for Data Scientists/2. Case study.mp4 23.3 MB
  • 10. Multiple Linear Regression/6. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp4 23.0 MB
  • 6. Advanced Data Mining With Tableau/6. Chi-Squared test when there is more than 2 categories.mp4 22.4 MB
  • 21. SQL Programming for Data Science/12. Using Cast() vs Convert().mp4 22.2 MB
  • 13. Assessing your model/5. Assessing your model using the CAP curve.mp4 22.0 MB
  • 13. Assessing your model/3. Cumulative Accuracy Profile (CAP).mp4 21.9 MB
  • 2. What is Data Science/3. Profession of the future.mp4 21.5 MB
  • 17. Business Intelligence (BI) Tools/4. Setting up Microsoft SQL Server 2014 for practice.mp4 21.1 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/4. Setting up your flat file source connection.mp4 21.0 MB
  • 12. Building a robust geodemographic segmentation model/2. Get the dataset.mp4 19.9 MB
  • 26. Presenting for Data Scientists/1. Intro (what you will learn in this section).mp4 19.9 MB
  • 4. Introduction to Tableau/8. Adding labels and formatting.mp4 19.7 MB
  • 10. Multiple Linear Regression/1. Intro (what you will learn in this section).mp4 19.4 MB
  • 4. Introduction to Tableau/5. Navigating Tableau - Measures and Dimensions.mp4 19.1 MB
  • 23. Handling errors during ETL (Phase 3)/8. Additional Quality Assurance check Balance.mp4 19.0 MB
  • 6. Advanced Data Mining With Tableau/5. Validating Tableau Data Mining with a Chi-Squared test.mp4 18.9 MB
  • 11. Logistic Regression/6. False Positives and False Negatives.mp4 18.7 MB
  • 21. SQL Programming for Data Science/11. Implicit Data Conversion in SQL.mp4 18.3 MB
  • 22. ETL Phase 3 Data Wrangling after the load/4. Create your first Stored Proc in SQL.mp4 18.2 MB
  • 4. Introduction to Tableau/4. Connecting Tableau to a Data file - CSV file.mp4 18.2 MB
  • 17. Business Intelligence (BI) Tools/8. Installing SSDT with MSVS Shell.mp4 18.1 MB
  • 5. How to use Tableau for Data Mining/2. Get the Dataset + Project Overview.mp4 18.0 MB
  • 6. Advanced Data Mining With Tableau/2. Creating bins & Visualizing distributions.mp4 17.9 MB
  • 23. Handling errors during ETL (Phase 3)/10. Additional Quality Assurance check Birthday.mp4 17.6 MB
  • 4. Introduction to Tableau/6. Creating a calculated field.mp4 17.5 MB
  • 15. Model maintenance/2. What does model deterioration look like.mp4 16.5 MB
  • 24. --------------------------- Part 4 Communication ---------------------------/1. Welcome to Part 4.mp4 16.1 MB
  • 5. How to use Tableau for Data Mining/8. Handy trick to validate your approach data.mp4 16.0 MB
  • 4. Introduction to Tableau/9. Exporting your worksheet.mp4 15.9 MB
  • 9. Simple Linear Regression/2. Introduction to Gretl.mp4 15.9 MB
  • 6. Advanced Data Mining With Tableau/9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).mp4 15.8 MB
  • 2. What is Data Science/4. Areas of Data Science.mp4 15.8 MB
  • 13. Assessing your model/6. Get my CAP curve template.mp4 15.1 MB
  • 14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).mp4 15.0 MB
  • 15. Model maintenance/4. Three levels of maintenance for deployed models.mp4 14.9 MB
  • 2. What is Data Science/5. IMPORTANT Course Pathways.mp4 14.8 MB
  • 8. Stats Refresher/6. Adjusted R-squared.mp4 14.5 MB
  • 5. How to use Tableau for Data Mining/7. Looking for anomalies.mp4 14.5 MB
  • 21. SQL Programming for Data Science/4. Shortcut to upload the data.mp4 14.5 MB
  • 21. SQL Programming for Data Science/16. Joining on multiple fields.mp4 14.2 MB
  • 21. SQL Programming for Data Science/14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.mp4 14.1 MB
  • 22. ETL Phase 3 Data Wrangling after the load/1. Intro (what you will learn in this section).mp4 14.0 MB
  • 27. Homework Solutions/1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.mp4 13.9 MB
  • 23. Handling errors during ETL (Phase 3)/1. Intro (what you will learn in this section).mp4 13.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/1. Intro (what you will learn in this section).mp4 13.2 MB
  • 12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.mp4 13.2 MB
  • 4. Introduction to Tableau/7. Adding colours.mp4 13.0 MB
  • 21. SQL Programming for Data Science/8. Comments in SQL.mp4 13.0 MB
  • 21. SQL Programming for Data Science/10. Data Types in SQL.mp4 12.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/5. Executing Stored Procedures.mp4 12.7 MB
  • 10. Multiple Linear Regression/10. Section Recap.mp4 12.7 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/7. Due Dilligence Upload Quality Assurance.mp4 12.0 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/6. Run the Upload & Disable.mp4 11.5 MB
  • 12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).mp4 11.5 MB
  • 13. Assessing your model/7. How to use test data to prevent overfitting your model.mp4 11.1 MB
  • 9. Simple Linear Regression/4. Import data and run descriptive statistics.mp4 11.0 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/1. Intro (what you will learn in this section).mp4 10.9 MB
  • 8. Stats Refresher/3. Types of regressions.mp4 10.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/2. RAW, WRK, DRV tables.mp4 10.8 MB
  • 10. Multiple Linear Regression/3. Get the dataset.mp4 10.7 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/1. Intro (what you will learn in this section).mp4 10.6 MB
  • 14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).mp4 10.4 MB
  • 17. Business Intelligence (BI) Tools/3. What is a Data Warehouse What is a Database.mp4 10.3 MB
  • 27. Homework Solutions/2. Advanced Data Mining with Tableau Chi-Squared Test for Country.mp4 10.2 MB
  • 5. How to use Tableau for Data Mining/4. How to visualise an AB test in Tableau.mp4 10.0 MB
  • 13. Assessing your model/10. Section Recap.mp4 9.7 MB
  • 10. Multiple Linear Regression/5. Dummy Variable Trap.mp4 9.5 MB
  • 9. Simple Linear Regression/1. Intro (what you will learn in this section).mp4 9.3 MB
  • 5. How to use Tableau for Data Mining/6. Adding a Reference Line.mp4 9.1 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/6. Editpad Lite.mp4 9.1 MB
  • 11. Logistic Regression/7. Confusion Matrix.mp4 8.8 MB
  • 25. Working with people/1. Intro (what you will learn in this section).mp4 8.6 MB
  • 6. Advanced Data Mining With Tableau/3. Creating a classification test for a numeric variable.mp4 8.6 MB
  • 21. SQL Programming for Data Science/1. Intro (what you will learn in this section).mp4 8.3 MB
  • 5. How to use Tableau for Data Mining/3. Connecting Tableau to an Excel File.mp4 8.3 MB
  • 6. Advanced Data Mining With Tableau/10. Section Recap.mp4 8.2 MB
  • 2. What is Data Science/1. Intro (what you will learn in this section).mp4 8.1 MB
  • 9. Simple Linear Regression/3. Get the dataset.mp4 7.9 MB
  • 17. Business Intelligence (BI) Tools/7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .mp4 7.9 MB
  • 22. ETL Phase 3 Data Wrangling after the load/10. Intermediate Recap - Procs.mp4 7.8 MB
  • 14. Drawing insights from your model/7. Section Recap.mp4 7.7 MB
  • 11. Logistic Regression/2. Get the dataset.mp4 7.4 MB
  • 5. How to use Tableau for Data Mining/5. Working with Aliases.mp4 7.4 MB
  • 8. Stats Refresher/2. Types of variables Categorical vs Numeric.mp4 7.2 MB
  • 5. How to use Tableau for Data Mining/9. Section Recap.mp4 7.2 MB
  • 15. Model maintenance/1. Intro (what you will learn in this section).mp4 7.1 MB
  • 8. Stats Refresher/5. R-squared.mp4 7.1 MB
  • 4. Introduction to Tableau/3. Challenge description + view data in file.mp4 6.9 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/14. Types of Errors in SSIS.mp4 6.9 MB
  • 13. Assessing your model/1. Intro (what you will learn in this section).mp4 6.7 MB
  • 21. SQL Programming for Data Science/15. Joins with duplicate values.mp4 6.3 MB
  • 14. Drawing insights from your model/1. Intro (what you will learn in this section).mp4 6.2 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 6.1 MB
  • 21. SQL Programming for Data Science/3. Getting To Know MS SQL Management Studio.mp4 6.0 MB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/2. Starting and navigating an SSIS Project.mp4 5.9 MB
  • 8. Stats Refresher/1. Intro (what you will learn in this section).mp4 5.3 MB
  • 6. Advanced Data Mining With Tableau/1. Intro (what you will learn in this section).mp4 5.3 MB
  • 4. Introduction to Tableau/10. Section Recap.mp4 5.1 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/2. Preparing your folder structure for your Data Science project.mp4 5.1 MB
  • 13. Assessing your model/2. Accuracy paradox.mp4 4.7 MB
  • 5. How to use Tableau for Data Mining/1. Intro (what you will learn in this section).mp4 4.5 MB
  • 8. Stats Refresher/4. Ordinary Least Squares.mp4 4.4 MB
  • 17. Business Intelligence (BI) Tools/1. Intro (what you will learn in this section).mp4 4.4 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/5. Notepad ++.mp4 4.0 MB
  • 4. Introduction to Tableau/1. Intro (what you will learn in this section).mp4 4.0 MB
  • 18. ETL Phase 1 Data Wrangling before the Load/3. Download the dataset for this section.mp4 3.7 MB
  • 22. ETL Phase 3 Data Wrangling after the load/3. Download the dataset for this section.mp4 3.5 MB
  • 10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.mp4 3.5 MB
  • 15. Model maintenance/5. Section Recap.mp4 3.4 MB
  • 17. Business Intelligence (BI) Tools/6. ETL for Data Science - what is Extract Transform Load (ETL).mp4 3.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/2. Download the dataset for this section.mp4 2.4 MB
  • 17. Business Intelligence (BI) Tools/2. Working with Data.mp4 2.3 MB
  • 6. Advanced Data Mining With Tableau/11. Part Completed.mp4 2.1 MB
  • 21. SQL Programming for Data Science/2. Download the dataset for this section.mp4 2.0 MB
  • 23. Handling errors during ETL (Phase 3)/2. Download the dataset for this section.mp4 1.8 MB
  • 6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).vtt 26.0 kB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).vtt 25.9 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).vtt 25.6 kB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.vtt 25.4 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/15. Summary.vtt 25.0 kB
  • 11. Logistic Regression/4. Logistic regression intuition.vtt 23.1 kB
  • 15. Model maintenance/3. Why do models deteriorate.vtt 22.7 kB
  • 10. Multiple Linear Regression/7. Backward Elimination - Practice time.vtt 22.6 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.vtt 21.8 kB
  • 10. Multiple Linear Regression/6. Ways to build a model BACKWARD, FORWARD, STEPWISE.vtt 21.6 kB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.vtt 21.5 kB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).vtt 21.3 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.vtt 21.3 kB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.vtt 20.1 kB
  • 14. Drawing insights from your model/2. Power insights from your CAP.vtt 19.5 kB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).vtt 18.9 kB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].vtt 18.0 kB
  • 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.vtt 17.1 kB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).vtt 15.9 kB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.vtt 15.5 kB
  • 6. Advanced Data Mining With Tableau/7. Visualising Balance and Estimated Salary distribution.vtt 15.3 kB
  • 13. Assessing your model/9. Comparing training performance and test performance.vtt 15.2 kB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.vtt 15.1 kB
  • 13. Assessing your model/3. Cumulative Accuracy Profile (CAP).vtt 14.9 kB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.vtt 14.9 kB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.vtt 14.4 kB
  • 4. Introduction to Tableau/8. Adding labels and formatting.vtt 14.1 kB
  • 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.vtt 13.9 kB
  • 6. Advanced Data Mining With Tableau/5. Validating Tableau Data Mining with a Chi-Squared test.vtt 13.7 kB
  • 12. Building a robust geodemographic segmentation model/6. Transforming independent variables.vtt 13.6 kB
  • 22. ETL Phase 3 Data Wrangling after the load/13. Converting data on the fly.vtt 13.6 kB
  • 8. Stats Refresher/6. Adjusted R-squared.vtt 13.3 kB
  • 22. ETL Phase 3 Data Wrangling after the load/7. Create table.vtt 13.2 kB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).vtt 13.0 kB
  • 6. Advanced Data Mining With Tableau/9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).vtt 13.0 kB
  • 11. Logistic Regression/8. Interpreting coefficients of a logistic regression.vtt 13.0 kB
  • 17. Business Intelligence (BI) Tools/5. Important Practice Database.vtt 12.8 kB
  • 23. Handling errors during ETL (Phase 3)/11. Part Completed.vtt 12.8 kB
  • 6. Advanced Data Mining With Tableau/2. Creating bins & Visualizing distributions.vtt 12.8 kB
  • 11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.vtt 12.3 kB
  • 6. Advanced Data Mining With Tableau/4. Combining two charts and working with them in Tableau.vtt 12.2 kB
  • 5. How to use Tableau for Data Mining/8. Handy trick to validate your approach data.vtt 12.2 kB
  • 5. How to use Tableau for Data Mining/7. Looking for anomalies.vtt 12.0 kB
  • 14. Drawing insights from your model/4. Odds ratio (advanced topic).vtt 11.8 kB
  • 22. ETL Phase 3 Data Wrangling after the load/6. Modifying Stored Procedures.vtt 11.8 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/11. Automating Error Handling in SSIS Conditional Split (Level 2).vtt 11.6 kB
  • 12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.vtt 11.6 kB
  • 4. Introduction to Tableau/5. Navigating Tableau - Measures and Dimensions.vtt 11.4 kB
  • 15. Model maintenance/4. Three levels of maintenance for deployed models.vtt 11.4 kB
  • 10. Multiple Linear Regression/4. Dummy Variables.vtt 11.2 kB
  • 8. Stats Refresher/3. Types of regressions.vtt 11.2 kB
  • 6. Advanced Data Mining With Tableau/6. Chi-Squared test when there is more than 2 categories.vtt 11.1 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/10. Automating Error Handling in SSIS Conditional Split.vtt 10.9 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.vtt 10.9 kB
  • 17. Business Intelligence (BI) Tools/4. Setting up Microsoft SQL Server 2014 for practice.vtt 10.9 kB
  • 11. Logistic Regression/5. Your first logistic regression.vtt 10.9 kB
  • 12. Building a robust geodemographic segmentation model/2. Get the dataset.vtt 10.7 kB
  • 12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.vtt 10.6 kB
  • 11. Logistic Regression/6. False Positives and False Negatives.vtt 10.6 kB
  • 12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.vtt 10.5 kB
  • 22. ETL Phase 3 Data Wrangling after the load/12. Adding leading zeros.vtt 10.3 kB
  • 5. How to use Tableau for Data Mining/2. Get the Dataset + Project Overview.vtt 10.2 kB
  • 4. Introduction to Tableau/7. Adding colours.vtt 10.1 kB
  • 23. Handling errors during ETL (Phase 3)/12. ETL Error Handling Vehicle Service Project.vtt 10.1 kB
  • 21. SQL Programming for Data Science/10. Data Types in SQL.vtt 10.1 kB
  • 23. Handling errors during ETL (Phase 3)/5. How to deal with errors using the isnumeric() function.vtt 10.0 kB
  • 23. Handling errors during ETL (Phase 3)/6. How to deal errors using the len() function.vtt 9.9 kB
  • 13. Assessing your model/8. Applying the model to test data.vtt 9.8 kB
  • 14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).vtt 9.7 kB
  • 4. Introduction to Tableau/9. Exporting your worksheet.vtt 9.7 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.vtt 9.7 kB
  • 13. Assessing your model/5. Assessing your model using the CAP curve.vtt 9.6 kB
  • 22. ETL Phase 3 Data Wrangling after the load/14. How to create a proc template.vtt 9.5 kB
  • 2. What is Data Science/3. Profession of the future.vtt 9.5 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/5. SSIS Error Text qualifier not specified.vtt 9.1 kB
  • 9. Simple Linear Regression/5. Reading Linear Regression Output.vtt 9.1 kB
  • 4. Introduction to Tableau/2. Installing Tableau Desktop and Tableau Public (FREE).vtt 9.0 kB
  • 13. Assessing your model/6. Get my CAP curve template.vtt 9.0 kB
  • 23. Handling errors during ETL (Phase 3)/7. How to deal with errors using the isdate() function.vtt 9.0 kB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/4. Setting up your flat file source connection.vtt 8.9 kB
  • 21. SQL Programming for Data Science/14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.vtt 8.8 kB
  • 2. What is Data Science/4. Areas of Data Science.vtt 8.8 kB
  • 5. How to use Tableau for Data Mining/4. How to visualise an AB test in Tableau.vtt 8.5 kB
  • 12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.vtt 8.5 kB
  • 26. Presenting for Data Scientists/7. How to present to executives.vtt 8.4 kB
  • 22. ETL Phase 3 Data Wrangling after the load/9. Check if table exists + drop table + Truncate.vtt 8.4 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/7. What do you do when your source file is corrupt (Part 2).vtt 8.3 kB
  • 25. Working with people/6. The art of saying No.vtt 8.2 kB
  • 4. Introduction to Tableau/6. Creating a calculated field.vtt 8.2 kB
  • 2. What is Data Science/5. IMPORTANT Course Pathways.vtt 8.1 kB
  • 22. ETL Phase 3 Data Wrangling after the load/8. Insert INTO.vtt 8.0 kB
  • 22. ETL Phase 3 Data Wrangling after the load/2. RAW, WRK, DRV tables.vtt 8.0 kB
  • 12. Building a robust geodemographic segmentation model/7. Creating derived variables.vtt 8.0 kB
  • 21. SQL Programming for Data Science/5. SELECT Statement.vtt 7.9 kB
  • 6. Advanced Data Mining With Tableau/10. Section Recap.vtt 7.8 kB
  • 27. Homework Solutions/1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.vtt 7.7 kB
  • 25. Working with people/5. Go and sit with them.vtt 7.7 kB
  • 4. Introduction to Tableau/4. Connecting Tableau to a Data file - CSV file.vtt 7.5 kB
  • 21. SQL Programming for Data Science/9. Order By.vtt 7.3 kB
  • 21. SQL Programming for Data Science/6. Using the WHERE clause to filter data.vtt 7.2 kB
  • 5. How to use Tableau for Data Mining/9. Section Recap.vtt 7.1 kB
  • 21. SQL Programming for Data Science/16. Joining on multiple fields.vtt 7.1 kB
  • 12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.vtt 7.1 kB
  • 8. Stats Refresher/2. Types of variables Categorical vs Numeric.vtt 7.0 kB
  • 5. How to use Tableau for Data Mining/6. Adding a Reference Line.vtt 6.9 kB
  • 1. Get Excited/1. Welcome to Data Science A-Z™.vtt 6.9 kB
  • 25. Working with people/8. Building a data culture.vtt 6.9 kB
  • 11. Logistic Regression/7. Confusion Matrix.vtt 6.8 kB
  • 8. Stats Refresher/5. R-squared.vtt 6.7 kB
  • 18. ETL Phase 1 Data Wrangling before the Load/4. Two things you HAVE to do before the load.vtt 6.5 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/13. Due Dilligence the one thing you HAVE to do every time.vtt 6.4 kB
  • 21. SQL Programming for Data Science/13. Working with NULLs.vtt 6.4 kB
  • 22. ETL Phase 3 Data Wrangling after the load/15. Archiving Procs.vtt 6.4 kB
  • 21. SQL Programming for Data Science/17. Practicing Joins.vtt 6.3 kB
  • 10. Multiple Linear Regression/10. Section Recap.vtt 6.3 kB
  • 23. Handling errors during ETL (Phase 3)/4. Create Stored Proc.vtt 6.2 kB
  • 15. Model maintenance/2. What does model deterioration look like.vtt 6.0 kB
  • 21. SQL Programming for Data Science/7. How to use Wildcards Regular Expressions in SQL (% and _).vtt 5.9 kB
  • 25. Working with people/2. Cross-departmental Work.vtt 5.9 kB
  • 10. Multiple Linear Regression/3. Get the dataset.vtt 5.9 kB
  • 9. Simple Linear Regression/6. Plotting and analysing the graph.vtt 5.8 kB
  • 6. Advanced Data Mining With Tableau/3. Creating a classification test for a numeric variable.vtt 5.8 kB
  • 17. Business Intelligence (BI) Tools/8. Installing SSDT with MSVS Shell.vtt 5.8 kB
  • 21. SQL Programming for Data Science/4. Shortcut to upload the data.vtt 5.6 kB
  • 5. How to use Tableau for Data Mining/3. Connecting Tableau to an Excel File.vtt 5.6 kB
  • 27. Homework Solutions/2. Advanced Data Mining with Tableau Chi-Squared Test for Country.vtt 5.5 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.vtt 5.5 kB
  • 9. Simple Linear Regression/4. Import data and run descriptive statistics.vtt 5.5 kB
  • 22. ETL Phase 3 Data Wrangling after the load/10. Intermediate Recap - Procs.vtt 5.4 kB
  • 5. How to use Tableau for Data Mining/5. Working with Aliases.vtt 5.4 kB
  • 7. --------------------------- Part 2 Modelling ---------------------------/1. Welcome to Part 2.vtt 5.3 kB
  • 17. Business Intelligence (BI) Tools/7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .vtt 5.2 kB
  • 14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).vtt 5.2 kB
  • 9. Simple Linear Regression/3. Get the dataset.vtt 5.2 kB
  • 11. Logistic Regression/2. Get the dataset.vtt 5.2 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/9. Handy trick for finding anomalies in SQL.vtt 5.1 kB
  • 23. Handling errors during ETL (Phase 3)/8. Additional Quality Assurance check Balance.vtt 5.1 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/16. Homework.vtt 5.0 kB
  • 13. Assessing your model/7. How to use test data to prevent overfitting your model.vtt 5.0 kB
  • 25. Working with people/4. Setting expectations and pre-project communication.vtt 5.0 kB
  • 4. Introduction to Tableau/10. Section Recap.vtt 5.0 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/14. Types of Errors in SSIS.vtt 4.9 kB
  • 13. Assessing your model/10. Section Recap.vtt 4.9 kB
  • 23. Handling errors during ETL (Phase 3)/10. Additional Quality Assurance check Birthday.vtt 4.9 kB
  • 17. Business Intelligence (BI) Tools/3. What is a Data Warehouse What is a Database.vtt 4.9 kB
  • 21. SQL Programming for Data Science/11. Implicit Data Conversion in SQL.vtt 4.8 kB
  • 21. SQL Programming for Data Science/12. Using Cast() vs Convert().vtt 4.8 kB
  • 26. Presenting for Data Scientists/6. My brainstorming method.vtt 4.7 kB
  • 22. ETL Phase 3 Data Wrangling after the load/4. Create your first Stored Proc in SQL.vtt 4.6 kB
  • 14. Drawing insights from your model/7. Section Recap.vtt 4.4 kB
  • 26. Presenting for Data Scientists/8. The truth is not always pretty.vtt 4.4 kB
  • 8. Stats Refresher/4. Ordinary Least Squares.vtt 4.1 kB
  • 23. Handling errors during ETL (Phase 3)/9. Additional Quality Assurance check ZipCode.vtt 4.0 kB
  • 28. Bonus Lectures/1. YOUR SPECIAL BONUS.html 4.0 kB
  • 2. What is Data Science/2. Updates on Udemy Reviews.vtt 4.0 kB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/6. Run the Upload & Disable.vtt 3.9 kB
  • 25. Working with people/7. Sometimes you have to go to the top.vtt 3.9 kB
  • 22. ETL Phase 3 Data Wrangling after the load/5. Executing Stored Procedures.vtt 3.8 kB
  • 9. Simple Linear Regression/2. Introduction to Gretl.vtt 3.7 kB
  • 16. --------------------------- Part 3 Data Preparation ---------------------------/1. Welcome to Part 3.vtt 3.6 kB
  • 21. SQL Programming for Data Science/8. Comments in SQL.vtt 3.5 kB
  • 21. SQL Programming for Data Science/15. Joins with duplicate values.vtt 3.4 kB
  • 18. ETL Phase 1 Data Wrangling before the Load/2. Preparing your folder structure for your Data Science project.vtt 3.3 kB
  • 10. Multiple Linear Regression/5. Dummy Variable Trap.vtt 3.2 kB
  • 4. Introduction to Tableau/3. Challenge description + view data in file.vtt 3.2 kB
  • 25. Working with people/3. Come to me with a Business Problem.vtt 3.2 kB
  • 13. Assessing your model/2. Accuracy paradox.vtt 3.1 kB
  • 26. Presenting for Data Scientists/9. Passion and the Wow-factor.vtt 3.1 kB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/7. Due Dilligence Upload Quality Assurance.vtt 3.0 kB
  • 26. Presenting for Data Scientists/2. Case study.vtt 2.9 kB
  • 21. SQL Programming for Data Science/3. Getting To Know MS SQL Management Studio.vtt 2.9 kB
  • 17. Business Intelligence (BI) Tools/6. ETL for Data Science - what is Extract Transform Load (ETL).vtt 2.8 kB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/2. Starting and navigating an SSIS Project.vtt 2.6 kB
  • 3. --------------------------- Part 1 Visualisation ---------------------------/1. Welcome to Part 1.vtt 2.6 kB
  • 10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.vtt 2.5 kB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/3. Creating a flat file source task and OLE DB destination.vtt 2.5 kB
  • 11. Logistic Regression/1. Intro (what you will learn in this section).vtt 2.4 kB
  • 1. Get Excited/2. BONUS Learning Paths.html 2.4 kB
  • 26. Presenting for Data Scientists/3. Analysing the intro.vtt 2.4 kB
  • 6. Advanced Data Mining With Tableau/11. Part Completed.vtt 2.4 kB
  • 15. Model maintenance/5. Section Recap.vtt 2.4 kB
  • 26. Presenting for Data Scientists/1. Intro (what you will learn in this section).vtt 2.2 kB
  • 27. Homework Solutions/7. THANK YOU bonus video.vtt 2.2 kB
  • 22. ETL Phase 3 Data Wrangling after the load/3. Download the dataset for this section.vtt 2.1 kB
  • 18. ETL Phase 1 Data Wrangling before the Load/3. Download the dataset for this section.vtt 2.0 kB
  • 24. --------------------------- Part 4 Communication ---------------------------/1. Welcome to Part 4.vtt 2.0 kB
  • 10. Multiple Linear Regression/1. Intro (what you will learn in this section).vtt 1.9 kB
  • 12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).vtt 1.7 kB
  • 18. ETL Phase 1 Data Wrangling before the Load/6. Editpad Lite.vtt 1.7 kB
  • 17. Business Intelligence (BI) Tools/2. Working with Data.vtt 1.5 kB
  • 22. ETL Phase 3 Data Wrangling after the load/1. Intro (what you will learn in this section).vtt 1.4 kB
  • 23. Handling errors during ETL (Phase 3)/1. Intro (what you will learn in this section).vtt 1.4 kB
  • 18. ETL Phase 1 Data Wrangling before the Load/5. Notepad ++.vtt 1.4 kB
  • 18. ETL Phase 1 Data Wrangling before the Load/1. Intro (what you will learn in this section).vtt 1.3 kB
  • 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/1. Intro (what you will learn in this section).vtt 1.2 kB
  • 20. Handling errors during ETL (Phases 1 & 2)/1. Intro (what you will learn in this section).vtt 1.2 kB
  • 2. What is Data Science/1. Intro (what you will learn in this section).vtt 1.2 kB
  • 5. How to use Tableau for Data Mining/1. Intro (what you will learn in this section).vtt 1.2 kB
  • 25. Working with people/1. Intro (what you will learn in this section).vtt 1.1 kB
  • 23. Handling errors during ETL (Phase 3)/2. Download the dataset for this section.vtt 1.1 kB
  • 6. Advanced Data Mining With Tableau/1. Intro (what you will learn in this section).vtt 1.1 kB
  • 13. Assessing your model/1. Intro (what you will learn in this section).vtt 1.0 kB
  • 15. Model maintenance/1. Intro (what you will learn in this section).vtt 993 Bytes
  • 21. SQL Programming for Data Science/1. Intro (what you will learn in this section).vtt 971 Bytes
  • 9. Simple Linear Regression/1. Intro (what you will learn in this section).vtt 968 Bytes
  • 20. Handling errors during ETL (Phases 1 & 2)/2. Download the dataset for this section.vtt 915 Bytes
  • 21. SQL Programming for Data Science/2. Download the dataset for this section.vtt 909 Bytes
  • 14. Drawing insights from your model/1. Intro (what you will learn in this section).vtt 872 Bytes
  • 4. Introduction to Tableau/1. Intro (what you will learn in this section).vtt 813 Bytes
  • 8. Stats Refresher/1. Intro (what you will learn in this section).vtt 788 Bytes
  • 26. Presenting for Data Scientists/11. Bonus links to other examples of good storytelling.html 609 Bytes
  • 2. What is Data Science/6. Some Additional Resources!!.html 602 Bytes
  • 17. Business Intelligence (BI) Tools/1. Intro (what you will learn in this section).vtt 601 Bytes
  • courseupload.com.webloc 248 Bytes
  • 4. Introduction to Tableau/11. Tableau Basics.html 114 Bytes

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