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文档列表
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
269.6 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4
242.7 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
132.2 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
108.6 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
92.8 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
72.0 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
64.5 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
48.4 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
23.4 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
20.9 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
7.4 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
20. Handling errors during ETL (Phases 1 & 2)/5. SSIS Error Text qualifier not specified.srt
10.1 kB
9. Simple Linear Regression/5. Reading Linear Regression Output.srt
10.1 kB
19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/4. Setting up your flat file source connection.srt
10.0 kB
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
5. How to use Tableau for Data Mining/4. How to visualise an AB test in Tableau.srt
9.7 kB
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
21. SQL Programming for Data Science/16. Joining on multiple fields.srt
7.8 kB
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
18. ETL Phase 1 Data Wrangling before the Load/4. Two things you HAVE to do before the load.srt
7.2 kB
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
20. Handling errors during ETL (Phases 1 & 2)/9. Handy trick for finding anomalies in SQL.srt
5.8 kB
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
13. Assessing your model/7. How to use test data to prevent overfitting your model.srt
5.6 kB
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
22. ETL Phase 3 Data Wrangling after the load/4. Create your first Stored Proc in SQL.srt
5.2 kB
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
19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/6. Run the Upload & Disable.srt
4.4 kB
25. Working with people/7. Sometimes you have to go to the top.srt
4.4 kB
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
16. --------------------------- Part 3 Data Preparation ---------------------------/1. Welcome to Part 3.srt
3.9 kB
21. SQL Programming for Data Science/8. Comments in SQL.srt
3.9 kB
4. Introduction to Tableau/3. Challenge description + view data in file.srt
3.9 kB
21. SQL Programming for Data Science/15. Joins with duplicate values.srt
3.8 kB
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
19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/2. Starting and navigating an SSIS Project.srt
2.9 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.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
10. Multiple Linear Regression/1. Intro (what you will learn in this section).srt
2.1 kB
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
22. ETL Phase 3 Data Wrangling after the load/1. Intro (what you will learn in this section).srt
1.6 kB
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
21. SQL Programming for Data Science/1. Intro (what you will learn in this section).srt
1.1 kB
9. Simple Linear Regression/1. Intro (what you will learn in this section).srt
1.1 kB
21. SQL Programming for Data Science/2. Download the dataset for this section.srt
1.0 kB
20. Handling errors during ETL (Phases 1 & 2)/2. Download the dataset for this section.srt
987 Bytes
14. Drawing insights from your model/1. Intro (what you will learn in this section).srt
944 Bytes
4. Introduction to Tableau/1. Intro (what you will learn in this section).srt
895 Bytes
8. Stats Refresher/1. Intro (what you will learn in this section).srt
860 Bytes
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
2. What is Data Science/6. Some Additional Resources!!.html
602 Bytes
1. Get Excited/3. Get the materials.html
317 Bytes
4. Introduction to Tableau/11. Tableau Basics.html
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12. Building a robust geodemographic segmentation model/[DesireCourse.Net].url
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0. Websites you may like/[CourseClub.Me].url
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12. Building a robust geodemographic segmentation model/[CourseClub.Me].url
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