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[FreeCourseSite.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included
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26. Presenting for Data Scientists
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4. Intro dissection - recap.mp4 - 341.94 MB
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5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 - 230.48 MB
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7. How to present to executives.mp4 - 197.49 MB
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10. Bonus my full presentation LIVE 2015.mp4 - 179.61 MB
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6. My brainstorming method.mp4 - 111.08 MB
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3. Analysing the intro.mp4 - 110.4 MB
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8. The truth is not always pretty.mp4 - 99.78 MB
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9. Passion and the Wow-factor.mp4 - 72.05 MB
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1. Intro (what you will learn in this section).mp4 - 61.57 MB
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2. Case study.mp4 - 22.2 MB
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5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.srt - 27.82 KB
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10. Bonus my full presentation LIVE 2015.srt - 23.5 KB
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4. Intro dissection - recap.srt - 16.44 KB
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7. How to present to executives.srt - 9.14 KB
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6. My brainstorming method.srt - 5.07 KB
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8. The truth is not always pretty.srt - 4.79 KB
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9. Passion and the Wow-factor.srt - 3.35 KB
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2. Case study.srt - 3.09 KB
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3. Analysing the intro.srt - 2.66 KB
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1. Intro (what you will learn in this section).srt - 2.43 KB
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11. Bonus links to other examples of good storytelling.html - 609 B
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20. Handling errors during ETL (Phases 1 & 2)
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12. How to analyze the error files.mp4 - 328.77 MB
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8. SSIS Error Data truncation.mp4 - 267.53 MB
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6. What do you do when your source file is corrupt (Part 1).mp4 - 257.16 MB
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4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 - 147.48 MB
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11. Automating Error Handling in SSIS Conditional Split (Level 2).mp4 - 103.3 MB
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13. Due Dilligence the one thing you HAVE to do every time.mp4 - 97.74 MB
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7. What do you do when your source file is corrupt (Part 2).mp4 - 97.09 MB
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5. SSIS Error Text qualifier not specified.mp4 - 96.7 MB
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10. Automating Error Handling in SSIS Conditional Split.mp4 - 93.52 MB
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3. How excel can mess up your data.mp4 - 90.25 MB
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16. Homework.mp4 - 84.58 MB
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15. Summary.mp4 - 80.59 MB
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9. Handy trick for finding anomalies in SQL.mp4 - 57.77 MB
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1. Intro (what you will learn in this section).mp4 - 30.92 MB
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14. Types of Errors in SSIS.mp4 - 15.17 MB
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2. Download the dataset for this section.mp4 - 7.11 MB
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6. What do you do when your source file is corrupt (Part 1).srt - 28.11 KB
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15. Summary.srt - 27.16 KB
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12. How to analyze the error files.srt - 23.94 KB
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8. SSIS Error Data truncation.srt - 23.47 KB
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11. Automating Error Handling in SSIS Conditional Split (Level 2).srt - 12.61 KB
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10. Automating Error Handling in SSIS Conditional Split.srt - 11.99 KB
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4. Bulletproof Blueprint for Data Wrangling before the Load.srt - 10.66 KB
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5. SSIS Error Text qualifier not specified.srt - 9.87 KB
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7. What do you do when your source file is corrupt (Part 2).srt - 9.19 KB
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13. Due Dilligence the one thing you HAVE to do every time.srt - 6.91 KB
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3. How excel can mess up your data.srt - 6.03 KB
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9. Handy trick for finding anomalies in SQL.srt - 5.62 KB
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16. Homework.srt - 5.5 KB
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14. Types of Errors in SSIS.srt - 5.35 KB
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1. Intro (what you will learn in this section).srt - 1.32 KB
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2. Download the dataset for this section.srt - 987 B
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27. Homework Solutions
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3. ETL Error Handling (Phases 1 and 2).mp4 - 326.38 MB
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4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 - 287.86 MB
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6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 - 231.4 MB
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5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 - 173.43 MB
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1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.mp4 - 76.6 MB
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2. Advanced Data Mining with Tableau Chi-Squared Test for Country.mp4 - 55.97 MB
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7. THANK YOU bonus video.mp4 - 52.26 MB
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3. ETL Error Handling (Phases 1 and 2).srt - 29.1 KB
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4. ETL Error Handling Vehicle Service Project (Part 1 of 3).srt - 23.86 KB
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6. ETL Error Handling Vehicle Service Project (Part 3 of 3).srt - 17.71 KB
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5. ETL Error Handling Vehicle Service Project (Part 2 of 3).srt - 14.54 KB
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1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.srt - 8.57 KB
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2. Advanced Data Mining with Tableau Chi-Squared Test for Country.srt - 6.17 KB
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7. THANK YOU bonus video.srt - 2.42 KB
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13. Assessing your model
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4. How to build a CAP curve in Excel.mp4 - 213.02 MB
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9. Comparing training performance and test performance.mp4 - 153.39 MB
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8. Applying the model to test data.mp4 - 144.49 MB
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6. Get my CAP curve template.mp4 - 81.69 MB
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5. Assessing your model using the CAP curve.mp4 - 53.03 MB
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3. Cumulative Accuracy Profile (CAP).mp4 - 49.67 MB
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7. How to use test data to prevent overfitting your model.mp4 - 27.69 MB
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1. Intro (what you will learn in this section).mp4 - 22.48 MB
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10. Section Recap.mp4 - 21.46 MB
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2. Accuracy paradox.mp4 - 10.91 MB
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4. How to build a CAP curve in Excel.srt - 22.3 KB
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9. Comparing training performance and test performance.srt - 16.65 KB
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3. Cumulative Accuracy Profile (CAP).srt - 16.18 KB
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8. Applying the model to test data.srt - 10.72 KB
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5. Assessing your model using the CAP curve.srt - 10.37 KB
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6. Get my CAP curve template.srt - 9.9 KB
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7. How to use test data to prevent overfitting your model.srt - 5.45 KB
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10. Section Recap.srt - 5.33 KB
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2. Accuracy paradox.srt - 3.33 KB
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1. Intro (what you will learn in this section).srt - 1.11 KB
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22. ETL Phase 3 Data Wrangling after the load
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11. Create the proc for the second file.mp4 - 206.93 MB
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16. What you can do with these tables going forward [drv files etc.].mp4 - 189.75 MB
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13. Converting data on the fly.mp4 - 138.64 MB
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12. Adding leading zeros.mp4 - 129.68 MB
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7. Create table.mp4 - 117.02 MB
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6. Modifying Stored Procedures.mp4 - 115.5 MB
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9. Check if table exists + drop table + Truncate.mp4 - 86.06 MB
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15. Archiving Procs.mp4 - 69.87 MB
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4. Create your first Stored Proc in SQL.mp4 - 48.02 MB
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14. How to create a proc template.mp4 - 39.05 MB
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5. Executing Stored Procedures.mp4 - 35.23 MB
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1. Intro (what you will learn in this section).mp4 - 34.92 MB
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2. RAW, WRK, DRV tables.mp4 - 26.58 MB
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8. Insert INTO.mp4 - 22.51 MB
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10. Intermediate Recap - Procs.mp4 - 18.23 MB
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3. Download the dataset for this section.mp4 - 10.27 MB
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16. What you can do with these tables going forward [drv files etc.].srt - 19.64 KB
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11. Create the proc for the second file.srt - 16.37 KB
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13. Converting data on the fly.srt - 14.89 KB
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7. Create table.srt - 14.36 KB
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6. Modifying Stored Procedures.srt - 12.81 KB
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12. Adding leading zeros.srt - 11.27 KB
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14. How to create a proc template.srt - 10.46 KB
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9. Check if table exists + drop table + Truncate.srt - 9.1 KB
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8. Insert INTO.srt - 8.68 KB
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2. RAW, WRK, DRV tables.srt - 8.58 KB
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15. Archiving Procs.srt - 6.94 KB
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10. Intermediate Recap - Procs.srt - 5.88 KB
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4. Create your first Stored Proc in SQL.srt - 5.04 KB
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5. Executing Stored Procedures.srt - 4.08 KB
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3. Download the dataset for this section.srt - 2.25 KB
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1. Intro (what you will learn in this section).srt - 1.51 KB
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23. Handling errors during ETL (Phase 3)
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3. Upload the data to RAW table.mp4 - 197.78 MB
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7. How to deal with errors using the isdate() function.mp4 - 118.08 MB
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5. How to deal with errors using the isnumeric() function.mp4 - 108.61 MB
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6. How to deal errors using the len() function.mp4 - 108.5 MB
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4. Create Stored Proc.mp4 - 93.29 MB
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12. ETL Error Handling Vehicle Service Project.mp4 - 62.38 MB
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9. Additional Quality Assurance check ZipCode.mp4 - 59.97 MB
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11. Part Completed.mp4 - 50.12 MB
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8. Additional Quality Assurance check Balance.mp4 - 49.03 MB
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10. Additional Quality Assurance check Birthday.mp4 - 44.82 MB
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1. Intro (what you will learn in this section).mp4 - 32.88 MB
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2. Download the dataset for this section.mp4 - 5.4 MB
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3. Upload the data to RAW table.srt - 16.03 KB
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11. Part Completed.srt - 13.84 KB
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12. ETL Error Handling Vehicle Service Project.srt - 10.93 KB
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5. How to deal with errors using the isnumeric() function.srt - 10.89 KB
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6. How to deal errors using the len() function.srt - 10.86 KB
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7. How to deal with errors using the isdate() function.srt - 9.92 KB
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4. Create Stored Proc.srt - 6.88 KB
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8. Additional Quality Assurance check Balance.srt - 5.51 KB
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10. Additional Quality Assurance check Birthday.srt - 5.35 KB
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9. Additional Quality Assurance check ZipCode.srt - 4.39 KB
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1. Intro (what you will learn in this section).srt - 1.51 KB
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2. Download the dataset for this section.srt - 1.23 KB
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25. Working with people
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6. The art of saying No.mp4 - 196.42 MB
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8. Building a data culture.mp4 - 185.16 MB
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5. Go and sit with them.mp4 - 168 MB
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2. Cross-departmental Work.mp4 - 153.55 MB
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4. Setting expectations and pre-project communication.mp4 - 126.73 MB
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7. Sometimes you have to go to the top.mp4 - 94.36 MB
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3. Come to me with a Business Problem.mp4 - 78.94 MB
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1. Intro (what you will learn in this section).mp4 - 26.45 MB
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6. The art of saying No.srt - 8.85 KB
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5. Go and sit with them.srt - 8.36 KB
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8. Building a data culture.srt - 7.4 KB
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2. Cross-departmental Work.srt - 6.36 KB
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4. Setting expectations and pre-project communication.srt - 5.42 KB
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7. Sometimes you have to go to the top.srt - 4.25 KB
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3. Come to me with a Business Problem.srt - 3.4 KB
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1. Intro (what you will learn in this section).srt - 1.22 KB
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10. Multiple Linear Regression
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8. Backward Elimination - Practice time.mp4 - 186.93 MB
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10. Interpreting coefficients of MLR.mp4 - 168.68 MB
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9. Using Adjusted R-squared to create Robust models.mp4 - 167.16 MB
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7. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp4 - 98.86 MB
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4. Dummy Variables.mp4 - 69.76 MB
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3. Get the dataset.mp4 - 62.29 MB
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6. Understanding the P-Value.mp4 - 56.49 MB
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1. Intro (what you will learn in this section).mp4 - 46.1 MB
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11. Section Recap.mp4 - 29.89 MB
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5. Dummy Variable Trap.mp4 - 20.89 MB
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2. Caveat assumptions of a linear regression.mp4 - 8.08 MB
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8. Backward Elimination - Practice time.srt - 25.01 KB
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7. Ways to build a model BACKWARD, FORWARD, STEPWISE.srt - 23.56 KB
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6. Understanding the P-Value.srt - 20.63 KB
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10. Interpreting coefficients of MLR.srt - 18.51 KB
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9. Using Adjusted R-squared to create Robust models.srt - 15.19 KB
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4. Dummy Variables.srt - 12.13 KB
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11. Section Recap.srt - 6.8 KB
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3. Get the dataset.srt - 6.38 KB
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5. Dummy Variable Trap.srt - 3.51 KB
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2. Caveat assumptions of a linear regression.srt - 2.69 KB
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1. Intro (what you will learn in this section).srt - 2.02 KB
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12. Building a robust geodemographic segmentation model
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5. Let's build the model - backward elimination STEP-BY-STEP.mp4 - 171.39 MB
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8. Checking for multicollinearity using VIF.mp4 - 139.69 MB
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2. Get the dataset.mp4 - 130.14 MB
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9. Correlation Matrix and Multicollinearity Intuition.mp4 - 102.85 MB
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6. Transforming independent variables.mp4 - 92.03 MB
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7. Creating derived variables.mp4 - 76.47 MB
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4. Let's build the model - first iteration.mp4 - 74.85 MB
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10. Model is Ready and Section Recap.mp4 - 59.58 MB
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1. Intro (what you will learn in this section).mp4 - 37.23 MB
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3. What is geo-demographic segmenation.mp4 - 33.14 MB
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5. Let's build the model - backward elimination STEP-BY-STEP.srt - 17.02 KB
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6. Transforming independent variables.srt - 14.72 KB
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4. Let's build the model - first iteration.srt - 12.66 KB
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2. Get the dataset.srt - 11.64 KB
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8. Checking for multicollinearity using VIF.srt - 11.63 KB
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9. Correlation Matrix and Multicollinearity Intuition.srt - 11.34 KB
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10. Model is Ready and Section Recap.srt - 9.2 KB
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7. Creating derived variables.srt - 8.57 KB
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3. What is geo-demographic segmenation.srt - 7.63 KB
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1. Intro (what you will learn in this section).srt - 1.84 KB
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14. Drawing insights from your model
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6. Deriving insights from your coefficients (advanced topic).mp4 - 168.2 MB
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2. Power insights from your CAP.mp4 - 161.15 MB
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4. Odds ratio (advanced topic).mp4 - 71.01 MB
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5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).mp4 - 36.24 MB
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3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).mp4 - 23.76 MB
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1. Intro (what you will learn in this section).mp4 - 20.22 MB
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7. Section Recap.mp4 - 16.88 MB
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2. Power insights from your CAP.srt - 21.15 KB
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6. Deriving insights from your coefficients (advanced topic).srt - 20.83 KB
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4. Odds ratio (advanced topic).srt - 12.88 KB
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5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).srt - 10.59 KB
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3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).srt - 5.67 KB
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7. Section Recap.srt - 4.81 KB
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1. Intro (what you will learn in this section).srt - 944 B
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15. Model maintenance
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3. Why do models deteriorate.mp4 - 150.36 MB
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2. What does model deterioration look like.mp4 - 43.39 MB
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4. Three levels of maintenance for deployed models.mp4 - 40.16 MB
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1. Intro (what you will learn in this section).mp4 - 22.49 MB
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5. Section Recap.mp4 - 7.64 MB
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3. Why do models deteriorate.srt - 24.83 KB
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4. Three levels of maintenance for deployed models.srt - 12.35 KB
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2. What does model deterioration look like.srt - 6.76 KB
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5. Section Recap.srt - 2.6 KB
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1. Intro (what you will learn in this section).srt - 1.05 KB
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6. Advanced Data Mining With Tableau
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8. Bonus Chi-Squared Test (Stats Tutorial).mp4 - 147.37 MB
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7. Visualising Balance and Estimated Salary distribution.mp4 - 144.26 MB
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5. Validating Tableau Data Mining with a Chi-Squared test.mp4 - 96.5 MB
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2. Creating bins & Visualizing distributions.mp4 - 93.14 MB
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9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).mp4 - 68.62 MB
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3. Creating a classification test for a numeric variable.mp4 - 42.8 MB
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10. Section Recap.mp4 - 33.25 MB
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4. Combining two charts and working with them in Tableau.mp4 - 26.92 MB
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1. Intro (what you will learn in this section).mp4 - 26.51 MB
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6. Chi-Squared test when there is more than 2 categories.mp4 - 21.35 MB
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11. Part Completed.mp4 - 5.19 MB
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8. Bonus Chi-Squared Test (Stats Tutorial).srt - 28.63 KB
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7. Visualising Balance and Estimated Salary distribution.srt - 16.66 KB
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5. Validating Tableau Data Mining with a Chi-Squared test.srt - 14.91 KB
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9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).srt - 14.16 KB
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2. Creating bins & Visualizing distributions.srt - 13.87 KB
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4. Combining two charts and working with them in Tableau.srt - 13.37 KB
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6. Chi-Squared test when there is more than 2 categories.srt - 12.06 KB
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10. Section Recap.srt - 8.44 KB
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3. Creating a classification test for a numeric variable.srt - 6.29 KB
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11. Part Completed.srt - 2.38 KB
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1. Intro (what you will learn in this section).srt - 1.18 KB
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5. How to use Tableau for Data Mining
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2. Get the Dataset + Project Overview.mp4 - 126.02 MB
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8. Handy trick to validate your approach data.mp4 - 76.85 MB
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7. Looking for anomalies.mp4 - 69.37 MB
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6. Adding a Reference Line.mp4 - 46.39 MB
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3. Connecting Tableau to an Excel File.mp4 - 42.76 MB
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4. How to visualise an AB test in Tableau.mp4 - 41.8 MB
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5. Working with Aliases.mp4 - 35.1 MB
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9. Section Recap.mp4 - 27.66 MB
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1. Intro (what you will learn in this section).mp4 - 26.46 MB
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8. Handy trick to validate your approach data.srt - 13.25 KB
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7. Looking for anomalies.srt - 13.04 KB
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2. Get the Dataset + Project Overview.srt - 11.01 KB
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4. How to visualise an AB test in Tableau.srt - 9.47 KB
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9. Section Recap.srt - 7.67 KB
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6. Adding a Reference Line.srt - 7.48 KB
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3. Connecting Tableau to an Excel File.srt - 6.14 KB
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5. Working with Aliases.srt - 5.88 KB
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1. Intro (what you will learn in this section).srt - 1.24 KB
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11. Logistic Regression
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8. Interpreting coefficients of a logistic regression.mp4 - 103.52 MB
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5. Your first logistic regression.mp4 - 89.1 MB
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4. Logistic regression intuition.mp4 - 82.73 MB
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3. Binary outcome YesNo-Type Business Problems.mp4 - 79.23 MB
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1. Intro (what you will learn in this section).mp4 - 57.88 MB
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6. False Positives and False Negatives.mp4 - 44.03 MB
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2. Get the dataset.mp4 - 36.44 MB
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7. Confusion Matrix.mp4 - 20.49 MB
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4. Logistic regression intuition.srt - 25.29 KB
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8. Interpreting coefficients of a logistic regression.srt - 14.08 KB
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3. Binary outcome YesNo-Type Business Problems.srt - 13.41 KB
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5. Your first logistic regression.srt - 11.84 KB
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6. False Positives and False Negatives.srt - 11.51 KB
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7. Confusion Matrix.srt - 7.41 KB
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2. Get the dataset.srt - 5.59 KB
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1. Intro (what you will learn in this section).srt - 2.65 KB
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21. SQL Programming for Data Science
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6. Using the WHERE clause to filter data.mp4 - 95.61 MB
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9. Order By.mp4 - 88.55 MB
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17. Practicing Joins.mp4 - 86.69 MB
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5. SELECT Statement.mp4 - 83.28 MB
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7. How to use Wildcards Regular Expressions in SQL (% and _).mp4 - 72.36 MB
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13. Working with NULLs.mp4 - 61.41 MB
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12. Using Cast() vs Convert().mp4 - 55.99 MB
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11. Implicit Data Conversion in SQL.mp4 - 46.23 MB
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8. Comments in SQL.mp4 - 34.54 MB
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14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.mp4 - 33.92 MB
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16. Joining on multiple fields.mp4 - 33.24 MB
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10. Data Types in SQL.mp4 - 28.26 MB
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1. Intro (what you will learn in this section).mp4 - 19.37 MB
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3. Getting To Know MS SQL Management Studio.mp4 - 16.61 MB
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15. Joins with duplicate values.mp4 - 14.73 MB
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4. Shortcut to upload the data.mp4 - 13.83 MB
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2. Download the dataset for this section.mp4 - 6.02 MB
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10. Data Types in SQL.srt - 10.88 KB
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14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.srt - 9.59 KB
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5. SELECT Statement.srt - 8.63 KB
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9. Order By.srt - 7.91 KB
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6. Using the WHERE clause to filter data.srt - 7.81 KB
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16. Joining on multiple fields.srt - 7.64 KB
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13. Working with NULLs.srt - 6.99 KB
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17. Practicing Joins.srt - 6.83 KB
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7. How to use Wildcards Regular Expressions in SQL (% and _).srt - 6.5 KB
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4. Shortcut to upload the data.srt - 6.21 KB
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11. Implicit Data Conversion in SQL.srt - 5.23 KB
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12. Using Cast() vs Convert().srt - 5.17 KB
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8. Comments in SQL.srt - 3.8 KB
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15. Joins with duplicate values.srt - 3.69 KB
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3. Getting To Know MS SQL Management Studio.srt - 3.1 KB
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1. Intro (what you will learn in this section).srt - 1.05 KB
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2. Download the dataset for this section.srt - 1002 B
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19. ETL Phase 2 Step-by-step guide to uploading data using SSIS
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5. Setting up your database connection and creating a RAW table.mp4 - 78.8 MB
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4. Setting up your flat file source connection.mp4 - 57.92 MB
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6. Run the Upload & Disable.mp4 - 32.87 MB
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7. Due Dilligence Upload Quality Assurance.mp4 - 31.19 MB
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1. Intro (what you will learn in this section).mp4 - 30.89 MB
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2. Starting and navigating an SSIS Project.mp4 - 16.52 MB
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3. Creating a flat file source task and OLE DB destination.mp4 - 16.5 MB
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5. Setting up your database connection and creating a RAW table.srt - 11.97 KB
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4. Setting up your flat file source connection.srt - 9.77 KB
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6. Run the Upload & Disable.srt - 4.29 KB
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7. Due Dilligence Upload Quality Assurance.srt - 3.28 KB
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2. Starting and navigating an SSIS Project.srt - 2.85 KB
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3. Creating a flat file source task and OLE DB destination.srt - 2.73 KB
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1. Intro (what you will learn in this section).srt - 1.32 KB
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1. Get Excited
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1. Welcome to Data Science A-Z™.mp4 - 75.03 MB
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1. Welcome to Data Science A-Z™.srt - 7.43 KB
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4. Your Shortcut To Becoming A Better Data Scientist!.html - 3.96 KB
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2. BONUS Learning Paths.html - 1.79 KB
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3. Get the materials.html - 317 B
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18. ETL Phase 1 Data Wrangling before the Load
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4. Two things you HAVE to do before the load.mp4 - 69.1 MB
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1. Intro (what you will learn in this section).mp4 - 29.29 MB
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6. Editpad Lite.mp4 - 20.37 MB
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2. Preparing your folder structure for your Data Science project.mp4 - 14.37 MB
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3. Download the dataset for this section.mp4 - 10.94 MB
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5. Notepad ++.mp4 - 10.84 MB
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4. Two things you HAVE to do before the load.srt - 7.05 KB
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2. Preparing your folder structure for your Data Science project.srt - 3.58 KB
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3. Download the dataset for this section.srt - 2.16 KB
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6. Editpad Lite.srt - 1.8 KB
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5. Notepad ++.srt - 1.46 KB
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1. Intro (what you will learn in this section).srt - 1.4 KB
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9. Simple Linear Regression
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5. Reading Linear Regression Output.mp4 - 65.81 MB
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6. Plotting and analysing the graph.mp4 - 63.92 MB
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3. Get the dataset.mp4 - 38.01 MB
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2. Introduction to Gretl.mp4 - 34.95 MB
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4. Import data and run descriptive statistics.mp4 - 31.77 MB
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1. Intro (what you will learn in this section).mp4 - 22.37 MB
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5. Reading Linear Regression Output.srt - 9.83 KB
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6. Plotting and analysing the graph.srt - 6.27 KB
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4. Import data and run descriptive statistics.srt - 5.92 KB
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3. Get the dataset.srt - 5.6 KB
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2. Introduction to Gretl.srt - 4.04 KB
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1. Intro (what you will learn in this section).srt - 1.03 KB
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2. What is Data Science
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3. Profession of the future.mp4 - 58.01 MB
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4. Areas of Data Science.mp4 - 37.66 MB
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5. IMPORTANT Course Pathways.mp4 - 36.28 MB
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2. Updates on Udemy Reviews.mp4 - 20.42 MB
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1. Intro (what you will learn in this section).mp4 - 7.7 MB
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3. Profession of the future.srt - 10.35 KB
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4. Areas of Data Science.srt - 9.54 KB
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5. IMPORTANT Course Pathways.srt - 8.74 KB
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7. BONUS Interview with DJ Patil.html - 2.04 KB
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2. Updates on Udemy Reviews.srt - 1.95 KB
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1. Intro (what you will learn in this section).srt - 1.26 KB
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6. Some Additional Resources!!.html - 602 B
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7. --------------------------- Part 2 Modelling ---------------------------
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1. Welcome to Part 2.mp4 - 50.36 MB
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1. Welcome to Part 2.srt - 5.66 KB
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4. Introduction to Tableau
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8. Adding labels and formatting.mp4 - 48.06 MB
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5. Navigating Tableau - Measures and Dimensions.mp4 - 31.32 MB
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9. Exporting your worksheet.mp4 - 31.07 MB
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7. Adding colours.mp4 - 30.55 MB
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2. Installing Tableau Desktop and Tableau Public (FREE).mp4 - 26.76 MB
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4. Connecting Tableau to a Data file - CSV file.mp4 - 25.15 MB
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6. Creating a calculated field.mp4 - 24.61 MB
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3. Challenge description + view data in file.mp4 - 22.06 MB
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10. Section Recap.mp4 - 19.98 MB
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1. Intro (what you will learn in this section).mp4 - 16.55 MB
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8. Adding labels and formatting.srt - 16.56 KB
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5. Navigating Tableau - Measures and Dimensions.srt - 13.14 KB
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7. Adding colours.srt - 11.51 KB
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9. Exporting your worksheet.srt - 9.87 KB
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6. Creating a calculated field.srt - 9.49 KB
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4. Connecting Tableau to a Data file - CSV file.srt - 8.26 KB
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2. Installing Tableau Desktop and Tableau Public (FREE).srt - 6.66 KB
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10. Section Recap.srt - 5.45 KB
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3. Challenge description + view data in file.srt - 3.76 KB
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1. Intro (what you will learn in this section).srt - 895 B
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11. Tableau Basics.html - 121 B
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17. Business Intelligence (BI) Tools
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8. Installing SSDT with MSVS Shell.mp4 - 45.84 MB
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3. What is a Data Warehouse What is a Database.mp4 - 26.23 MB
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5. Important Practice Database.mp4 - 22.8 MB
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4. Setting up Microsoft SQL Server 2014 for practice.mp4 - 20.13 MB
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7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .mp4 - 18.09 MB
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1. Intro (what you will learn in this section).mp4 - 13.89 MB
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6. ETL for Data Science - what is Extract Transform Load (ETL).mp4 - 8.28 MB
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2. Working with Data.mp4 - 5.31 MB
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5. Important Practice Database.srt - 13.98 KB
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4. Setting up Microsoft SQL Server 2014 for practice.srt - 11.88 KB
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8. Installing SSDT with MSVS Shell.srt - 6.25 KB
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7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .srt - 5.72 KB
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3. What is a Data Warehouse What is a Database.srt - 5.27 KB
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6. ETL for Data Science - what is Extract Transform Load (ETL).srt - 3.02 KB
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2. Working with Data.srt - 1.65 KB
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1. Intro (what you will learn in this section).srt - 653 B
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3. --------------------------- Part 1 Visualisation ---------------------------
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1. Welcome to Part 1.mp4 - 35.98 MB
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1. Welcome to Part 1.srt - 2.92 KB
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16. --------------------------- Part 3 Data Preparation ---------------------------
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1. Welcome to Part 3.mp4 - 32.71 MB
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1. Welcome to Part 3.srt - 3.83 KB
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8. Stats Refresher
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2. Types of variables Categorical vs Numeric.mp4 - 24.28 MB
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1. Intro (what you will learn in this section).mp4 - 17.75 MB
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6. Adjusted R-squared.mp4 - 13.84 MB
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3. Types of regressions.mp4 - 10.34 MB
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5. R-squared.mp4 - 6.75 MB
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4. Ordinary Least Squares.mp4 - 4.22 MB
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6. Adjusted R-squared.srt - 14.43 KB
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3. Types of regressions.srt - 12.13 KB
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2. Types of variables Categorical vs Numeric.srt - 7.57 KB
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5. R-squared.srt - 7.32 KB
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4. Ordinary Least Squares.srt - 4.36 KB
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1. Intro (what you will learn in this section).srt - 860 B
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24. --------------------------- Part 4 Communication ---------------------------
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1. Welcome to Part 4.mp4 - 15.39 MB
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1. Welcome to Part 4.srt - 2.12 KB
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28. Bonus Lectures
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1. YOUR SPECIAL BONUS.html - 3.96 KB
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0. Websites you may like
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[FreeCourseSite.com].url - 127 B
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[CourseClub.Me].url - 122 B
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[GigaCourse.Com].url - 49 B
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InfoHash:
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Last updated:
May 19, 2022
File count:
431 B
File Category:
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Tags:
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