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种子名称： [DesireCourse.Net] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included
文件类型： 视频
文件数目： 210个文件
文件大小： 14.81 GB
收录时间： 2023-4-16 04:04
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最近下载： 2024-11-24 04:52

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[DesireCourse.Net] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included.torrent

1. Get Excited/1. Welcome to Data Science A-Z™.mp475.04MB

10. Multiple Linear Regression/1. Intro (what you will learn in this section).mp446.11MB

10. Multiple Linear Regression/10. Interpreting coefficients of MLR.mp4168.68MB

10. Multiple Linear Regression/11. Section Recap.mp429.89MB

10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.mp48.08MB

10. Multiple Linear Regression/3. Get the dataset.mp462.3MB

10. Multiple Linear Regression/4. Dummy Variables.mp469.76MB

10. Multiple Linear Regression/5. Dummy Variable Trap.mp420.9MB

10. Multiple Linear Regression/6. Understanding the P-Value.mp456.49MB

10. Multiple Linear Regression/7. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp498.86MB

10. Multiple Linear Regression/8. Backward Elimination - Practice time.mp4186.94MB

10. Multiple Linear Regression/9. Using Adjusted R-squared to create Robust models.mp4167.16MB

11. Logistic Regression/1. Intro (what you will learn in this section).mp457.88MB

11. Logistic Regression/2. Get the dataset.mp436.43MB

11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.mp479.23MB

11. Logistic Regression/4. Logistic regression intuition.mp482.73MB

11. Logistic Regression/5. Your first logistic regression.mp489.11MB

11. Logistic Regression/6. False Positives and False Negatives.mp444.03MB

11. Logistic Regression/7. Confusion Matrix.mp420.48MB

11. Logistic Regression/8. Interpreting coefficients of a logistic regression.mp4103.53MB

12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).mp437.22MB

12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.mp459.58MB

12. Building a robust geodemographic segmentation model/2. Get the dataset.mp4130.14MB

12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.mp433.15MB

12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.mp474.86MB

12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4171.39MB

12. Building a robust geodemographic segmentation model/6. Transforming independent variables.mp492.03MB

12. Building a robust geodemographic segmentation model/7. Creating derived variables.mp476.48MB

12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.mp4139.68MB

12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.mp4102.85MB

13. Assessing your model/1. Intro (what you will learn in this section).mp422.48MB

13. Assessing your model/10. Section Recap.mp421.45MB

13. Assessing your model/2. Accuracy paradox.mp410.91MB

13. Assessing your model/3. Cumulative Accuracy Profile (CAP).mp449.67MB

13. Assessing your model/4. How to build a CAP curve in Excel.mp4213.02MB

13. Assessing your model/5. Assessing your model using the CAP curve.mp453.03MB

13. Assessing your model/6. Get my CAP curve template.mp481.69MB

13. Assessing your model/7. How to use test data to prevent overfitting your model.mp427.69MB

13. Assessing your model/8. Applying the model to test data.mp4144.49MB

13. Assessing your model/9. Comparing training performance and test performance.mp4153.39MB

14. Drawing insights from your model/1. Intro (what you will learn in this section).mp420.23MB

14. Drawing insights from your model/2. Power insights from your CAP.mp4161.15MB

14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).mp423.76MB

14. Drawing insights from your model/4. Odds ratio (advanced topic).mp471.02MB

14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).mp436.24MB

14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4168.19MB

14. Drawing insights from your model/7. Section Recap.mp416.88MB

15. Model maintenance/1. Intro (what you will learn in this section).mp422.5MB

15. Model maintenance/2. What does model deterioration look like.mp443.4MB

15. Model maintenance/3. Why do models deteriorate.mp4150.36MB

15. Model maintenance/4. Three levels of maintenance for deployed models.mp440.17MB

15. Model maintenance/5. Section Recap.mp47.64MB

16. --------------------------- Part 3 Data Preparation ---------------------------/1. Welcome to Part 3.mp432.71MB

17. Business Intelligence (BI) Tools/1. Intro (what you will learn in this section).mp413.89MB

17. Business Intelligence (BI) Tools/2. Working with Data.mp45.31MB

17. Business Intelligence (BI) Tools/3. What is a Data Warehouse What is a Database.mp426.22MB

17. Business Intelligence (BI) Tools/4. Setting up Microsoft SQL Server 2014 for practice.mp420.12MB

17. Business Intelligence (BI) Tools/5. Important Practice Database.mp422.8MB

17. Business Intelligence (BI) Tools/6. ETL for Data Science - what is Extract Transform Load (ETL).mp48.27MB

17. Business Intelligence (BI) Tools/7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .mp418.09MB

17. Business Intelligence (BI) Tools/8. Installing SSDT with MSVS Shell.mp445.85MB

18. ETL Phase 1 Data Wrangling before the Load/1. Intro (what you will learn in this section).mp429.28MB

18. ETL Phase 1 Data Wrangling before the Load/2. Preparing your folder structure for your Data Science project.mp414.37MB

18. ETL Phase 1 Data Wrangling before the Load/3. Download the dataset for this section.mp410.94MB

18. ETL Phase 1 Data Wrangling before the Load/4. Two things you HAVE to do before the load.mp469.1MB

18. ETL Phase 1 Data Wrangling before the Load/5. Notepad ++.mp410.83MB

18. ETL Phase 1 Data Wrangling before the Load/6. Editpad Lite.mp420.36MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/1. Intro (what you will learn in this section).mp430.89MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/2. Starting and navigating an SSIS Project.mp416.51MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/3. Creating a flat file source task and OLE DB destination.mp416.51MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/4. Setting up your flat file source connection.mp457.91MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/5. Setting up your database connection and creating a RAW table.mp478.8MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/6. Run the Upload & Disable.mp432.86MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/7. Due Dilligence Upload Quality Assurance.mp431.19MB

2. What is Data Science/1. Intro (what you will learn in this section).mp47.71MB

2. What is Data Science/2. Updates on Udemy Reviews.mp420.42MB

2. What is Data Science/3. Profession of the future.mp458.01MB

2. What is Data Science/4. Areas of Data Science.mp437.66MB

2. What is Data Science/5. IMPORTANT Course Pathways.mp436.29MB

20. Handling errors during ETL (Phases 1 & 2)/1. Intro (what you will learn in this section).mp430.92MB

20. Handling errors during ETL (Phases 1 & 2)/10. Automating Error Handling in SSIS Conditional Split.mp493.52MB

20. Handling errors during ETL (Phases 1 & 2)/11. Automating Error Handling in SSIS Conditional Split (Level 2).mp4103.3MB

20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4328.78MB

20. Handling errors during ETL (Phases 1 & 2)/13. Due Dilligence the one thing you HAVE to do every time.mp497.74MB

20. Handling errors during ETL (Phases 1 & 2)/14. Types of Errors in SSIS.mp415.17MB

20. Handling errors during ETL (Phases 1 & 2)/15. Summary.mp480.59MB

20. Handling errors during ETL (Phases 1 & 2)/16. Homework.mp484.58MB

20. Handling errors during ETL (Phases 1 & 2)/2. Download the dataset for this section.mp47.11MB

20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp490.25MB

20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4147.48MB

20. Handling errors during ETL (Phases 1 & 2)/5. SSIS Error Text qualifier not specified.mp496.71MB

20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4257.16MB

20. Handling errors during ETL (Phases 1 & 2)/7. What do you do when your source file is corrupt (Part 2).mp497.09MB

20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4267.53MB

20. Handling errors during ETL (Phases 1 & 2)/9. Handy trick for finding anomalies in SQL.mp457.76MB

21. SQL Programming for Data Science/1. Intro (what you will learn in this section).mp419.37MB

21. SQL Programming for Data Science/10. Data Types in SQL.mp428.25MB

21. SQL Programming for Data Science/11. Implicit Data Conversion in SQL.mp446.24MB

21. SQL Programming for Data Science/12. Using Cast() vs Convert().mp456MB

21. SQL Programming for Data Science/13. Working with NULLs.mp461.4MB

21. SQL Programming for Data Science/14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.mp433.91MB

21. SQL Programming for Data Science/15. Joins with duplicate values.mp414.73MB

21. SQL Programming for Data Science/16. Joining on multiple fields.mp433.23MB

21. SQL Programming for Data Science/17. Practicing Joins.mp486.7MB

21. SQL Programming for Data Science/2. Download the dataset for this section.mp46.02MB

21. SQL Programming for Data Science/3. Getting To Know MS SQL Management Studio.mp416.62MB

21. SQL Programming for Data Science/4. Shortcut to upload the data.mp413.82MB

21. SQL Programming for Data Science/5. SELECT Statement.mp483.28MB

21. SQL Programming for Data Science/6. Using the WHERE clause to filter data.mp495.61MB

21. SQL Programming for Data Science/7. How to use Wildcards Regular Expressions in SQL (% and _).mp472.36MB

21. SQL Programming for Data Science/8. Comments in SQL.mp434.55MB

21. SQL Programming for Data Science/9. Order By.mp488.54MB

22. ETL Phase 3 Data Wrangling after the load/1. Intro (what you will learn in this section).mp434.91MB

22. ETL Phase 3 Data Wrangling after the load/10. Intermediate Recap - Procs.mp418.23MB

22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4206.92MB

22. ETL Phase 3 Data Wrangling after the load/12. Adding leading zeros.mp4129.69MB

22. ETL Phase 3 Data Wrangling after the load/13. Converting data on the fly.mp4138.65MB

22. ETL Phase 3 Data Wrangling after the load/14. How to create a proc template.mp439.05MB

22. ETL Phase 3 Data Wrangling after the load/15. Archiving Procs.mp469.87MB

22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4189.75MB

22. ETL Phase 3 Data Wrangling after the load/2. RAW, WRK, DRV tables.mp426.57MB

22. ETL Phase 3 Data Wrangling after the load/3. Download the dataset for this section.mp410.27MB

22. ETL Phase 3 Data Wrangling after the load/4. Create your first Stored Proc in SQL.mp448.02MB

22. ETL Phase 3 Data Wrangling after the load/5. Executing Stored Procedures.mp435.23MB

22. ETL Phase 3 Data Wrangling after the load/6. Modifying Stored Procedures.mp4115.5MB

22. ETL Phase 3 Data Wrangling after the load/7. Create table.mp4117.02MB

22. ETL Phase 3 Data Wrangling after the load/8. Insert INTO.mp422.51MB

22. ETL Phase 3 Data Wrangling after the load/9. Check if table exists + drop table + Truncate.mp486.05MB

23. Handling errors during ETL (Phase 3)/1. Intro (what you will learn in this section).mp432.88MB

23. Handling errors during ETL (Phase 3)/10. Additional Quality Assurance check Birthday.mp444.83MB

23. Handling errors during ETL (Phase 3)/11. Part Completed.mp450.12MB

23. Handling errors during ETL (Phase 3)/12. ETL Error Handling Vehicle Service Project.mp462.39MB

23. Handling errors during ETL (Phase 3)/2. Download the dataset for this section.mp45.41MB

23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4197.79MB

23. Handling errors during ETL (Phase 3)/4. Create Stored Proc.mp493.28MB

23. Handling errors during ETL (Phase 3)/5. How to deal with errors using the isnumeric() function.mp4108.62MB

23. Handling errors during ETL (Phase 3)/6. How to deal errors using the len() function.mp4108.5MB

23. Handling errors during ETL (Phase 3)/7. How to deal with errors using the isdate() function.mp4118.07MB

23. Handling errors during ETL (Phase 3)/8. Additional Quality Assurance check Balance.mp449.04MB

23. Handling errors during ETL (Phase 3)/9. Additional Quality Assurance check ZipCode.mp459.97MB

24. --------------------------- Part 4 Communication ---------------------------/1. Welcome to Part 4.mp415.39MB

25. Working with people/1. Intro (what you will learn in this section).mp426.45MB

25. Working with people/2. Cross-departmental Work.mp4153.56MB

25. Working with people/3. Come to me with a Business Problem.mp478.94MB

25. Working with people/4. Setting expectations and pre-project communication.mp4126.73MB

25. Working with people/5. Go and sit with them.mp4168MB

25. Working with people/6. The art of saying No.mp4196.41MB

25. Working with people/7. Sometimes you have to go to the top.mp494.37MB

25. Working with people/8. Building a data culture.mp4185.17MB

26. Presenting for Data Scientists/1. Intro (what you will learn in this section).mp461.57MB

26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4179.61MB

26. Presenting for Data Scientists/2. Case study.mp422.19MB

26. Presenting for Data Scientists/3. Analysing the intro.mp4110.39MB

26. Presenting for Data Scientists/4. Intro dissection - recap.mp4341.95MB

26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4230.49MB

26. Presenting for Data Scientists/6. My brainstorming method.mp4111.09MB

26. Presenting for Data Scientists/7. How to present to executives.mp4197.49MB

26. Presenting for Data Scientists/8. The truth is not always pretty.mp499.79MB

26. Presenting for Data Scientists/9. Passion and the Wow-factor.mp472.05MB

27. Homework Solutions/1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.mp476.6MB

27. Homework Solutions/2. Advanced Data Mining with Tableau Chi-Squared Test for Country.mp455.97MB

27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4326.38MB

27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4287.87MB

27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4173.43MB

27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4231.4MB

27. Homework Solutions/7. THANK YOU bonus video.mp452.26MB

3. --------------------------- Part 1 Visualisation ---------------------------/1. Welcome to Part 1.mp435.99MB

4. Introduction to Tableau/1. Intro (what you will learn in this section).mp416.56MB

4. Introduction to Tableau/10. Section Recap.mp419.98MB

4. Introduction to Tableau/2. Installing Tableau Desktop and Tableau Public (FREE).mp426.77MB

4. Introduction to Tableau/3. Challenge description + view data in file.mp422.06MB

4. Introduction to Tableau/4. Connecting Tableau to a Data file - CSV file.mp425.15MB

4. Introduction to Tableau/5. Navigating Tableau - Measures and Dimensions.mp431.32MB

4. Introduction to Tableau/6. Creating a calculated field.mp424.6MB

4. Introduction to Tableau/7. Adding colours.mp430.55MB

4. Introduction to Tableau/8. Adding labels and formatting.mp448.07MB

4. Introduction to Tableau/9. Exporting your worksheet.mp431.06MB

5. How to use Tableau for Data Mining/1. Intro (what you will learn in this section).mp426.46MB

5. How to use Tableau for Data Mining/2. Get the Dataset + Project Overview.mp4126.03MB

5. How to use Tableau for Data Mining/3. Connecting Tableau to an Excel File.mp442.76MB

5. How to use Tableau for Data Mining/4. How to visualise an AB test in Tableau.mp441.8MB

5. How to use Tableau for Data Mining/5. Working with Aliases.mp435.1MB

5. How to use Tableau for Data Mining/6. Adding a Reference Line.mp446.39MB

5. How to use Tableau for Data Mining/7. Looking for anomalies.mp469.37MB

5. How to use Tableau for Data Mining/8. Handy trick to validate your approach data.mp476.86MB

5. How to use Tableau for Data Mining/9. Section Recap.mp427.66MB

6. Advanced Data Mining With Tableau/1. Intro (what you will learn in this section).mp426.5MB

6. Advanced Data Mining With Tableau/10. Section Recap.mp433.24MB

6. Advanced Data Mining With Tableau/11. Part Completed.mp45.19MB

6. Advanced Data Mining With Tableau/2. Creating bins & Visualizing distributions.mp493.14MB

6. Advanced Data Mining With Tableau/3. Creating a classification test for a numeric variable.mp442.81MB

6. Advanced Data Mining With Tableau/4. Combining two charts and working with them in Tableau.mp426.92MB

6. Advanced Data Mining With Tableau/5. Validating Tableau Data Mining with a Chi-Squared test.mp496.51MB

6. Advanced Data Mining With Tableau/6. Chi-Squared test when there is more than 2 categories.mp421.35MB

6. Advanced Data Mining With Tableau/7. Visualising Balance and Estimated Salary distribution.mp4144.27MB

6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).mp4147.37MB

6. Advanced Data Mining With Tableau/9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).mp468.63MB

7. --------------------------- Part 2 Modelling ---------------------------/1. Welcome to Part 2.mp450.36MB

8. Stats Refresher/1. Intro (what you will learn in this section).mp417.74MB

8. Stats Refresher/2. Types of variables Categorical vs Numeric.mp424.28MB

8. Stats Refresher/3. Types of regressions.mp410.34MB

8. Stats Refresher/4. Ordinary Least Squares.mp44.22MB

8. Stats Refresher/5. R-squared.mp46.74MB

8. Stats Refresher/6. Adjusted R-squared.mp413.83MB

9. Simple Linear Regression/1. Intro (what you will learn in this section).mp422.37MB

9. Simple Linear Regression/2. Introduction to Gretl.mp434.94MB

9. Simple Linear Regression/3. Get the dataset.mp438.01MB

9. Simple Linear Regression/4. Import data and run descriptive statistics.mp431.78MB

9. Simple Linear Regression/5. Reading Linear Regression Output.mp465.82MB

9. Simple Linear Regression/6. Plotting and analysing the graph.mp463.91MB