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[CourseClub.Me].url |
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[CourseClub.Me].url |
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[CourseClub.Me].url |
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[DesireCourse.Net].url |
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1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.mp4 |
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1. Intro (what you will learn in this section).mp4 |
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1. Welcome to Data Science A-Z™.mp4 |
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1. Welcome to Part 1.mp4 |
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1. Welcome to Part 2.mp4 |
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1. YOUR SPECIAL BONUS.html |
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10. Additional Quality Assurance check Birthday.mp4 |
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10. Automating Error Handling in SSIS Conditional Split.mp4 |
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10. Bonus my full presentation LIVE 2015.mp4 |
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10. Data Types in SQL.mp4 |
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10. Intermediate Recap - Procs.mp4 |
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10. Interpreting coefficients of MLR.mp4 |
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10. Model is Ready and Section Recap.mp4 |
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11. Automating Error Handling in SSIS Conditional Split (Level 2).mp4 |
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11. Bonus links to other examples of good storytelling.html |
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11. Create the proc for the second file.mp4 |
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11. Implicit Data Conversion in SQL.mp4 |
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11. Part Completed.mp4 |
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11. Section Recap.mp4 |
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11. Tableau Basics.html |
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12. Adding leading zeros.mp4 |
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12. ETL Error Handling Vehicle Service Project.mp4 |
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12. How to analyze the error files.mp4 |
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12. Using Cast() vs Convert().mp4 |
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13. Due Dilligence the one thing you HAVE to do every time.mp4 |
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13. Working with NULLs.mp4 |
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14. How to create a proc template.mp4 |
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14. Types of Errors in SSIS.mp4 |
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14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.mp4 |
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15. Archiving Procs.mp4 |
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15. Joins with duplicate values.mp4 |
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15. Summary.mp4 |
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16. Homework.mp4 |
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16. Joining on multiple fields.mp4 |
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16. What you can do with these tables going forward [drv files etc.].mp4 |
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17. Practicing Joins.mp4 |
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2. Accuracy paradox.mp4 |
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2. Advanced Data Mining with Tableau Chi-Squared Test for Country.mp4 |
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2. BONUS Learning Paths.html |
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2. Case study.mp4 |
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2. Cross-departmental Work.mp4 |
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2. Download the dataset for this section.mp4 |
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2. Get the dataset.mp4 |
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2. Get the Dataset + Project Overview.mp4 |
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2. Installing Tableau Desktop and Tableau Public (FREE).mp4 |
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2. Introduction to Gretl.mp4 |
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2. Power insights from your CAP.mp4 |
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2. Preparing your folder structure for your Data Science project.mp4 |
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2. RAW, WRK, DRV tables.mp4 |
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2. Starting and navigating an SSIS Project.mp4 |
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2. Types of variables Categorical vs Numeric.mp4 |
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2. Updates on Udemy Reviews.mp4 |
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2. What does model deterioration look like.mp4 |
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2. Working with Data.mp4 |
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3. Analysing the intro.mp4 |
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3. Binary outcome YesNo-Type Business Problems.mp4 |
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3. Challenge description + view data in file.mp4 |
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3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).mp4 |
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3. Come to me with a Business Problem.mp4 |
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3. Connecting Tableau to an Excel File.mp4 |
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3. Connecting Tableau to an Excel File.srt |
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3. Creating a classification test for a numeric variable.mp4 |
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3. Creating a flat file source task and OLE DB destination.mp4 |
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3. Creating a flat file source task and OLE DB destination.srt |
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3. Cumulative Accuracy Profile (CAP).mp4 |
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3. Cumulative Accuracy Profile (CAP).srt |
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3. Download the dataset for this section.mp4 |
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3. Download the dataset for this section.mp4 |
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3. Download the dataset for this section.srt |
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3. Download the dataset for this section.srt |
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3. ETL Error Handling (Phases 1 and 2).mp4 |
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3. Get the dataset.mp4 |
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3. Get the dataset.mp4 |
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3. Get the dataset.srt |
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3. Get the materials.html |
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3. Getting To Know MS SQL Management Studio.mp4 |
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3. How excel can mess up your data.mp4 |
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3. Profession of the future.mp4 |
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3. Types of regressions.mp4 |
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3. Upload the data to RAW table.mp4 |
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3. What is a Data Warehouse What is a Database.mp4 |
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3. What is geo-demographic segmenation.mp4 |
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3. Why do models deteriorate.mp4 |
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4. Areas of Data Science.mp4 |
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4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 |
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4. Combining two charts and working with them in Tableau.mp4 |
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4. Connecting Tableau to a Data file - CSV file.mp4 |
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4. Create Stored Proc.mp4 |
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4. Create your first Stored Proc in SQL.mp4 |
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4. Dummy Variables.mp4 |
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4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 |
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4. How to build a CAP curve in Excel.mp4 |
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4. How to visualise an AB test in Tableau.mp4 |
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4. Import data and run descriptive statistics.mp4 |
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4. Intro dissection - recap.mp4 |
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4. Let's build the model - first iteration.mp4 |
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4. Logistic regression intuition.mp4 |
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4. Odds ratio (advanced topic).mp4 |
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4. Ordinary Least Squares.mp4 |
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4. Setting expectations and pre-project communication.mp4 |
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4. Setting up Microsoft SQL Server 2014 for practice.mp4 |
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4. Setting up your flat file source connection.mp4 |
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4. Shortcut to upload the data.mp4 |
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4. Three levels of maintenance for deployed models.mp4 |
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4. Two things you HAVE to do before the load.mp4 |
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4. Your Shortcut To Becoming A Better Data Scientist!.html |
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5. Assessing your model using the CAP curve.mp4 |
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5. Dummy Variable Trap.mp4 |
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5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 |
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5. Executing Stored Procedures.mp4 |
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5. Go and sit with them.mp4 |
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5. How to deal with errors using the isnumeric() function.mp4 |
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5. IMPORTANT Course Pathways.mp4 |
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5. Important Practice Database.mp4 |
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5. Let's build the model - backward elimination STEP-BY-STEP.mp4 |
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5. Navigating Tableau - Measures and Dimensions.mp4 |
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5. Notepad ++.mp4 |
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5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).mp4 |
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5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).srt |
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5. Reading Linear Regression Output.mp4 |
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5. Reading Linear Regression Output.srt |
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5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 |
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5. R-squared.mp4 |
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5. R-squared.srt |
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5. Section Recap.mp4 |
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5. SELECT Statement.mp4 |
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5. SELECT Statement.srt |
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5. Setting up your database connection and creating a RAW table.mp4 |
78.81Мб |
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5. SSIS Error Text qualifier not specified.mp4 |
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5. Validating Tableau Data Mining with a Chi-Squared test.mp4 |
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5. Working with Aliases.mp4 |
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5. Your first logistic regression.mp4 |
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5. Your first logistic regression.srt |
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6. Adding a Reference Line.mp4 |
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6. Adjusted R-squared.mp4 |
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6. Chi-Squared test when there is more than 2 categories.mp4 |
21.34Мб |
6. Chi-Squared test when there is more than 2 categories.srt |
12.06Кб |
6. Creating a calculated field.mp4 |
24.60Мб |
6. Creating a calculated field.srt |
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6. Deriving insights from your coefficients (advanced topic).mp4 |
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6. Editpad Lite.mp4 |
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6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 |
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6. ETL for Data Science - what is Extract Transform Load (ETL).mp4 |
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6. ETL for Data Science - what is Extract Transform Load (ETL).srt |
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6. False Positives and False Negatives.mp4 |
44.03Мб |
6. False Positives and False Negatives.srt |
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6. Get my CAP curve template.mp4 |
81.68Мб |
6. Get my CAP curve template.srt |
9.90Кб |
6. How to deal errors using the len() function.mp4 |
108.50Мб |
6. How to deal errors using the len() function.srt |
10.86Кб |
6. Modifying Stored Procedures.mp4 |
115.50Мб |
6. Modifying Stored Procedures.srt |
12.81Кб |
6. My brainstorming method.mp4 |
111.09Мб |
6. My brainstorming method.srt |
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6. Plotting and analysing the graph.mp4 |
63.91Мб |
6. Plotting and analysing the graph.srt |
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6. Run the Upload & Disable.mp4 |
32.87Мб |
6. Run the Upload & Disable.srt |
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6. Some Additional Resources!!.html |
602б |
6. The art of saying No.mp4 |
196.42Мб |
6. The art of saying No.srt |
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6. Transforming independent variables.mp4 |
92.02Мб |
6. Transforming independent variables.srt |
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6. Understanding the P-Value.mp4 |
56.49Мб |
6. Understanding the P-Value.srt |
20.63Кб |
6. Using the WHERE clause to filter data.mp4 |
95.61Мб |
6. Using the WHERE clause to filter data.srt |
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6. What do you do when your source file is corrupt (Part 1).mp4 |
257.15Мб |
6. What do you do when your source file is corrupt (Part 1).srt |
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7. Adding colours.mp4 |
30.55Мб |
7. Adding colours.srt |
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7. BONUS Interview with DJ Patil.html |
2.04Кб |
7. Confusion Matrix.mp4 |
20.48Мб |
7. Confusion Matrix.srt |
7.41Кб |
7. Create table.mp4 |
117.01Мб |
7. Create table.srt |
14.36Кб |
7. Creating derived variables.mp4 |
76.47Мб |
7. Creating derived variables.srt |
8.57Кб |
7. Due Dilligence Upload Quality Assurance.mp4 |
31.19Мб |
7. Due Dilligence Upload Quality Assurance.srt |
3.28Кб |
7. How to deal with errors using the isdate() function.mp4 |
118.07Мб |
7. How to deal with errors using the isdate() function.srt |
9.92Кб |
7. How to present to executives.mp4 |
197.49Мб |
7. How to present to executives.srt |
9.14Кб |
7. How to use test data to prevent overfitting your model.mp4 |
27.69Мб |
7. How to use test data to prevent overfitting your model.srt |
5.45Кб |
7. How to use Wildcards Regular Expressions in SQL (% and _).mp4 |
72.37Мб |
7. How to use Wildcards Regular Expressions in SQL (% and _).srt |
6.50Кб |
7. Looking for anomalies.mp4 |
69.36Мб |
7. Looking for anomalies.srt |
13.04Кб |
7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .mp4 |
18.09Мб |
7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .srt |
5.72Кб |
7. Section Recap.mp4 |
16.87Мб |
7. Section Recap.srt |
4.81Кб |
7. Sometimes you have to go to the top.mp4 |
94.37Мб |
7. Sometimes you have to go to the top.srt |
4.25Кб |
7. THANK YOU bonus video.mp4 |
52.26Мб |
7. THANK YOU bonus video.srt |
2.42Кб |
7. Visualising Balance and Estimated Salary distribution.mp4 |
144.27Мб |
7. Visualising Balance and Estimated Salary distribution.srt |
16.66Кб |
7. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp4 |
98.87Мб |
7. Ways to build a model BACKWARD, FORWARD, STEPWISE.srt |
23.56Кб |
7. What do you do when your source file is corrupt (Part 2).mp4 |
97.09Мб |
7. What do you do when your source file is corrupt (Part 2).srt |
9.19Кб |
8. Adding labels and formatting.mp4 |
48.07Мб |
8. Adding labels and formatting.srt |
16.56Кб |
8. Additional Quality Assurance check Balance.mp4 |
49.04Мб |
8. Additional Quality Assurance check Balance.srt |
5.51Кб |
8. Applying the model to test data.mp4 |
144.50Мб |
8. Applying the model to test data.srt |
10.72Кб |
8. Backward Elimination - Practice time.mp4 |
186.94Мб |
8. Backward Elimination - Practice time.srt |
25.01Кб |
8. Bonus Chi-Squared Test (Stats Tutorial).mp4 |
147.37Мб |
8. Bonus Chi-Squared Test (Stats Tutorial).srt |
28.63Кб |
8. Building a data culture.mp4 |
185.17Мб |
8. Building a data culture.srt |
7.40Кб |
8. Checking for multicollinearity using VIF.mp4 |
139.68Мб |
8. Checking for multicollinearity using VIF.srt |
11.63Кб |
8. Comments in SQL.mp4 |
34.55Мб |
8. Comments in SQL.srt |
3.80Кб |
8. Handy trick to validate your approach data.mp4 |
76.86Мб |
8. Handy trick to validate your approach data.srt |
13.25Кб |
8. Insert INTO.mp4 |
22.52Мб |
8. Insert INTO.srt |
8.68Кб |
8. Installing SSDT with MSVS Shell.mp4 |
45.84Мб |
8. Installing SSDT with MSVS Shell.srt |
6.25Кб |
8. Interpreting coefficients of a logistic regression.mp4 |
103.53Мб |
8. Interpreting coefficients of a logistic regression.srt |
14.08Кб |
8. SSIS Error Data truncation.mp4 |
267.53Мб |
8. SSIS Error Data truncation.srt |
23.47Кб |
8. The truth is not always pretty.mp4 |
99.79Мб |
8. The truth is not always pretty.srt |
4.79Кб |
9. Additional Quality Assurance check ZipCode.mp4 |
59.97Мб |
9. Additional Quality Assurance check ZipCode.srt |
4.39Кб |
9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).mp4 |
68.63Мб |
9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).srt |
14.16Кб |
9. Check if table exists + drop table + Truncate.mp4 |
86.06Мб |
9. Check if table exists + drop table + Truncate.srt |
9.10Кб |
9. Comparing training performance and test performance.mp4 |
153.39Мб |
9. Comparing training performance and test performance.srt |
16.65Кб |
9. Correlation Matrix and Multicollinearity Intuition.mp4 |
102.85Мб |
9. Correlation Matrix and Multicollinearity Intuition.srt |
11.34Кб |
9. Exporting your worksheet.mp4 |
31.07Мб |
9. Exporting your worksheet.srt |
9.87Кб |
9. Handy trick for finding anomalies in SQL.mp4 |
57.77Мб |
9. Handy trick for finding anomalies in SQL.srt |
5.62Кб |
9. Order By.mp4 |
88.54Мб |
9. Order By.srt |
7.91Кб |
9. Passion and the Wow-factor.mp4 |
72.05Мб |
9. Passion and the Wow-factor.srt |
3.35Кб |
9. Section Recap.mp4 |
27.65Мб |
9. Section Recap.srt |
7.67Кб |
9. Using Adjusted R-squared to create Robust models.mp4 |
167.16Мб |
9. Using Adjusted R-squared to create Robust models.srt |
15.19Кб |