种子简介

种子名称： [FreeCourseSite.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included
文件类型： 视频
文件数目： 209个文件
文件大小： 5.83 GB
收录时间： 2020-7-20 19:27
已经下载： 3次
资源热度： 202
最近下载： 2024-5-18 04:15

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:c642b114b6b78f6b4fd12f812e703189d88c175c&dn=[FreeCourseSite.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[FreeCourseSite.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included.torrent

1. Get Excited/1. Welcome to Data Science A-Z™.mp422.83MB

10. Multiple Linear Regression/1. Intro (what you will learn in this section).mp418.53MB

10. Multiple Linear Regression/10. Section Recap.mp412.08MB

10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.mp43.36MB

10. Multiple Linear Regression/3. Get the dataset.mp410.2MB

10. Multiple Linear Regression/4. Dummy Variables.mp429.87MB

10. Multiple Linear Regression/5. Dummy Variable Trap.mp49.02MB

10. Multiple Linear Regression/6. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp421.92MB

10. Multiple Linear Regression/7. Backward Elimination - Practice time.mp432MB

10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp466.18MB

10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp463.32MB

11. Logistic Regression/1. Intro (what you will learn in this section).mp425.26MB

11. Logistic Regression/2. Get the dataset.mp47.05MB

11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.mp426.82MB

11. Logistic Regression/4. Logistic regression intuition.mp433.27MB

11. Logistic Regression/5. Your first logistic regression.mp430.1MB

11. Logistic Regression/6. False Positives and False Negatives.mp417.87MB

11. Logistic Regression/7. Confusion Matrix.mp48.36MB

11. Logistic Regression/8. Interpreting coefficients of a logistic regression.mp436.6MB

12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).mp410.95MB

12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.mp424.41MB

12. Building a robust geodemographic segmentation model/2. Get the dataset.mp419.02MB

12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.mp412.59MB

12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.mp425.03MB

12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp466.69MB

12. Building a robust geodemographic segmentation model/6. Transforming independent variables.mp436.68MB

12. Building a robust geodemographic segmentation model/7. Creating derived variables.mp428.74MB

12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.mp458.2MB

12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.mp433.9MB

13. Assessing your model/1. Intro (what you will learn in this section).mp46.36MB

13. Assessing your model/10. Section Recap.mp49.21MB

13. Assessing your model/2. Accuracy paradox.mp44.48MB

13. Assessing your model/3. Cumulative Accuracy Profile (CAP).mp420.91MB

13. Assessing your model/4. How to build a CAP curve in Excel.mp484.43MB

13. Assessing your model/5. Assessing your model using the CAP curve.mp421.02MB

13. Assessing your model/6. Get my CAP curve template.mp414.4MB

13. Assessing your model/7. How to use test data to prevent overfitting your model.mp410.62MB

13. Assessing your model/8. Applying the model to test data.mp458.5MB

13. Assessing your model/9. Comparing training performance and test performance.mp458.24MB

14. Drawing insights from your model/1. Intro (what you will learn in this section).mp45.96MB

14. Drawing insights from your model/2. Power insights from your CAP.mp458.26MB

14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).mp49.94MB

14. Drawing insights from your model/4. Odds ratio (advanced topic).mp427.31MB

14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).mp414.27MB

14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp463.62MB

14. Drawing insights from your model/7. Section Recap.mp47.34MB

15. Model maintenance/1. Intro (what you will learn in this section).mp46.76MB

15. Model maintenance/2. What does model deterioration look like.mp415.76MB

15. Model maintenance/3. Why do models deteriorate.mp457.66MB

15. Model maintenance/4. Three levels of maintenance for deployed models.mp414.25MB

15. Model maintenance/5. Section Recap.mp43.28MB

16. --------------------------- Part 3 Data Preparation ---------------------------/1. Welcome to Part 3.mp432.7MB

17. Business Intelligence (BI) Tools/1. Intro (what you will learn in this section).mp44.18MB

17. Business Intelligence (BI) Tools/2. Working with Data.mp42.22MB

17. Business Intelligence (BI) Tools/3. What is a Data Warehouse What is a Database.mp49.85MB

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.mp422.79MB

17. Business Intelligence (BI) Tools/6. ETL for Data Science - what is Extract Transform Load (ETL).mp43.22MB

17. Business Intelligence (BI) Tools/7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .mp47.55MB

17. Business Intelligence (BI) Tools/8. Installing SSDT with MSVS Shell.mp417.22MB

18. ETL Phase 1 Data Wrangling before the Load/1. Intro (what you will learn in this section).mp410.41MB

18. ETL Phase 1 Data Wrangling before the Load/2. Preparing your folder structure for your Data Science project.mp44.84MB

18. ETL Phase 1 Data Wrangling before the Load/3. Download the dataset for this section.mp43.49MB

18. ETL Phase 1 Data Wrangling before the Load/4. Two things you HAVE to do before the load.mp425.26MB

18. ETL Phase 1 Data Wrangling before the Load/5. Notepad ++.mp43.83MB

18. ETL Phase 1 Data Wrangling before the Load/6. Editpad Lite.mp48.64MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/1. Intro (what you will learn in this section).mp410.15MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/2. Starting and navigating an SSIS Project.mp45.61MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/3. Creating a flat file source task and OLE DB destination.mp45.85MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/4. Setting up your flat file source connection.mp419.99MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/5. Setting up your database connection and creating a RAW table.mp427.33MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/6. Run the Upload & Disable.mp410.98MB

19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/7. Due Dilligence Upload Quality Assurance.mp411.45MB

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.mp461.44MB

2. What is Data Science/3. Profession of the future.mp420.49MB

2. What is Data Science/4. Areas of Data Science.mp415.05MB

2. What is Data Science/5. IMPORTANT Course Pathways.mp414.1MB

20. Handling errors during ETL (Phases 1 & 2)/1. Intro (what you will learn in this section).mp412.62MB

20. Handling errors during ETL (Phases 1 & 2)/10. Automating Error Handling in SSIS Conditional Split.mp431.6MB

20. Handling errors during ETL (Phases 1 & 2)/11. Automating Error Handling in SSIS Conditional Split (Level 2).mp446.11MB

20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4159.67MB

20. Handling errors during ETL (Phases 1 & 2)/13. Due Dilligence the one thing you HAVE to do every time.mp428.09MB

20. Handling errors during ETL (Phases 1 & 2)/14. Types of Errors in SSIS.mp46.58MB

20. Handling errors during ETL (Phases 1 & 2)/15. Summary.mp436.1MB

20. Handling errors during ETL (Phases 1 & 2)/16. Homework.mp459.66MB

20. Handling errors during ETL (Phases 1 & 2)/2. Download the dataset for this section.mp42.27MB

20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp472.47MB

20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp481.87MB

20. Handling errors during ETL (Phases 1 & 2)/5. SSIS Error Text qualifier not specified.mp430.55MB

20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4257.15MB

20. Handling errors during ETL (Phases 1 & 2)/7. What do you do when your source file is corrupt (Part 2).mp460.15MB

20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4152.39MB

20. Handling errors during ETL (Phases 1 & 2)/9. Handy trick for finding anomalies in SQL.mp422.21MB

21. SQL Programming for Data Science/1. Intro (what you will learn in this section).mp47.9MB

21. SQL Programming for Data Science/10. Data Types in SQL.mp412.23MB

21. SQL Programming for Data Science/11. Implicit Data Conversion in SQL.mp417.43MB

21. SQL Programming for Data Science/12. Using Cast() vs Convert().mp421.13MB

21. SQL Programming for Data Science/13. Working with NULLs.mp423.46MB

21. SQL Programming for Data Science/14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.mp413.48MB

21. SQL Programming for Data Science/15. Joins with duplicate values.mp46.04MB

21. SQL Programming for Data Science/16. Joining on multiple fields.mp413.55MB

21. SQL Programming for Data Science/17. Practicing Joins.mp438.55MB

21. SQL Programming for Data Science/2. Download the dataset for this section.mp41.9MB

21. SQL Programming for Data Science/3. Getting To Know MS SQL Management Studio.mp45.69MB

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

21. SQL Programming for Data Science/5. SELECT Statement.mp431.22MB

21. SQL Programming for Data Science/6. Using the WHERE clause to filter data.mp437.14MB

21. SQL Programming for Data Science/7. How to use Wildcards Regular Expressions in SQL (% and _).mp426.18MB

21. SQL Programming for Data Science/8. Comments in SQL.mp412.36MB

21. SQL Programming for Data Science/9. Order By.mp434.09MB

22. ETL Phase 3 Data Wrangling after the load/1. Intro (what you will learn in this section).mp413.39MB

22. ETL Phase 3 Data Wrangling after the load/10. Intermediate Recap - Procs.mp47.44MB

22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp480.19MB

22. ETL Phase 3 Data Wrangling after the load/12. Adding leading zeros.mp452.11MB

22. ETL Phase 3 Data Wrangling after the load/13. Converting data on the fly.mp449.97MB

22. ETL Phase 3 Data Wrangling after the load/14. How to create a proc template.mp430.07MB

22. ETL Phase 3 Data Wrangling after the load/15. Archiving Procs.mp426.47MB

22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp471.1MB

22. ETL Phase 3 Data Wrangling after the load/2. RAW, WRK, DRV tables.mp410.3MB

22. ETL Phase 3 Data Wrangling after the load/3. Download the dataset for this section.mp43.36MB

22. ETL Phase 3 Data Wrangling after the load/4. Create your first Stored Proc in SQL.mp417.39MB

22. ETL Phase 3 Data Wrangling after the load/5. Executing Stored Procedures.mp412.1MB

22. ETL Phase 3 Data Wrangling after the load/6. Modifying Stored Procedures.mp439.78MB

22. ETL Phase 3 Data Wrangling after the load/7. Create table.mp440.85MB

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.mp430.2MB

23. Handling errors during ETL (Phase 3)/1. Intro (what you will learn in this section).mp412.86MB

23. Handling errors during ETL (Phase 3)/10. Additional Quality Assurance check Birthday.mp416.83MB

23. Handling errors during ETL (Phase 3)/11. Part Completed.mp436.05MB

23. Handling errors during ETL (Phase 3)/12. ETL Error Handling Vehicle Service Project.mp424.66MB

23. Handling errors during ETL (Phase 3)/2. Download the dataset for this section.mp41.72MB

23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp489.01MB

23. Handling errors during ETL (Phase 3)/4. Create Stored Proc.mp436.15MB

23. Handling errors during ETL (Phase 3)/5. How to deal with errors using the isnumeric() function.mp438.68MB

23. Handling errors during ETL (Phase 3)/6. How to deal errors using the len() function.mp439.44MB

23. Handling errors during ETL (Phase 3)/7. How to deal with errors using the isdate() function.mp443.62MB

23. Handling errors during ETL (Phase 3)/8. Additional Quality Assurance check Balance.mp418.08MB

23. Handling errors during ETL (Phase 3)/9. Additional Quality Assurance check ZipCode.mp428.5MB

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

25. Working with people/1. Intro (what you will learn in this section).mp48.2MB

25. Working with people/2. Cross-departmental Work.mp449.27MB

25. Working with people/3. Come to me with a Business Problem.mp426.48MB

25. Working with people/4. Setting expectations and pre-project communication.mp438.27MB

25. Working with people/5. Go and sit with them.mp458.92MB

25. Working with people/6. The art of saying No.mp460.44MB

25. Working with people/7. Sometimes you have to go to the top.mp428.48MB

25. Working with people/8. Building a data culture.mp456.94MB

26. Presenting for Data Scientists/1. Intro (what you will learn in this section).mp419MB

26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp464.4MB

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

26. Presenting for Data Scientists/3. Analysing the intro.mp437.29MB

26. Presenting for Data Scientists/4. Intro dissection - recap.mp4114.43MB

26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp474.44MB

26. Presenting for Data Scientists/6. My brainstorming method.mp437.76MB

26. Presenting for Data Scientists/7. How to present to executives.mp461.94MB

26. Presenting for Data Scientists/8. The truth is not always pretty.mp432.34MB

26. Presenting for Data Scientists/9. Passion and the Wow-factor.mp423.75MB

27. Homework Solutions/1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.mp413.25MB

27. Homework Solutions/2. Advanced Data Mining with Tableau Chi-Squared Test for Country.mp49.74MB

27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4148.08MB

27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4116.82MB

27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp464.28MB

27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp487.87MB

27. Homework Solutions/7. THANK YOU bonus video.mp452.25MB

3. --------------------------- Part 1 Visualisation ---------------------------/1. Welcome to Part 1.mp430.38MB

4. Introduction to Tableau/1. Intro (what you will learn in this section).mp43.79MB

4. Introduction to Tableau/10. Section Recap.mp44.85MB

4. Introduction to Tableau/2. Installing Tableau Desktop and Tableau Public (FREE).mp428.07MB

4. Introduction to Tableau/3. Challenge description + view data in file.mp46.61MB

4. Introduction to Tableau/4. Connecting Tableau to a Data file - CSV file.mp417.33MB

4. Introduction to Tableau/5. Navigating Tableau - Measures and Dimensions.mp418.19MB

4. Introduction to Tableau/6. Creating a calculated field.mp416.69MB

4. Introduction to Tableau/7. Adding colours.mp412.39MB

4. Introduction to Tableau/8. Adding labels and formatting.mp418.77MB

4. Introduction to Tableau/9. Exporting your worksheet.mp415.18MB

5. How to use Tableau for Data Mining/1. Intro (what you will learn in this section).mp44.33MB

5. How to use Tableau for Data Mining/2. Get the Dataset + Project Overview.mp417.16MB

5. How to use Tableau for Data Mining/3. Connecting Tableau to an Excel File.mp47.89MB

5. How to use Tableau for Data Mining/4. How to visualise an AB test in Tableau.mp49.51MB

5. How to use Tableau for Data Mining/5. Working with Aliases.mp47.01MB

5. How to use Tableau for Data Mining/6. Adding a Reference Line.mp48.65MB

5. How to use Tableau for Data Mining/7. Looking for anomalies.mp413.83MB

5. How to use Tableau for Data Mining/8. Handy trick to validate your approach data.mp415.24MB

5. How to use Tableau for Data Mining/9. Section Recap.mp46.82MB

6. Advanced Data Mining With Tableau/1. Intro (what you will learn in this section).mp45.01MB

6. Advanced Data Mining With Tableau/10. Section Recap.mp47.84MB

6. Advanced Data Mining With Tableau/11. Part Completed.mp41.97MB

6. Advanced Data Mining With Tableau/2. Creating bins & Visualizing distributions.mp417.09MB

6. Advanced Data Mining With Tableau/3. Creating a classification test for a numeric variable.mp48.16MB

6. Advanced Data Mining With Tableau/4. Combining two charts and working with them in Tableau.mp426.91MB

6. Advanced Data Mining With Tableau/5. Validating Tableau Data Mining with a Chi-Squared test.mp417.99MB

6. Advanced Data Mining With Tableau/6. Chi-Squared test when there is more than 2 categories.mp421.34MB

6. Advanced Data Mining With Tableau/7. Visualising Balance and Estimated Salary distribution.mp424.7MB

6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).mp431.25MB

6. Advanced Data Mining With Tableau/9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).mp415.09MB

7. --------------------------- Part 2 Modelling ---------------------------/1. Welcome to Part 2.mp450.37MB

8. Stats Refresher/1. Intro (what you will learn in this section).mp45.08MB

8. Stats Refresher/2. Types of variables Categorical vs Numeric.mp46.88MB

8. Stats Refresher/3. Types of regressions.mp410.33MB

8. Stats Refresher/4. Ordinary Least Squares.mp44.23MB

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

8. Stats Refresher/6. Adjusted R-squared.mp413.84MB

9. Simple Linear Regression/1. Intro (what you will learn in this section).mp48.9MB

9. Simple Linear Regression/2. Introduction to Gretl.mp415.13MB

9. Simple Linear Regression/3. Get the dataset.mp47.55MB

9. Simple Linear Regression/4. Import data and run descriptive statistics.mp410.49MB

9. Simple Linear Regression/5. Reading Linear Regression Output.mp422.34MB

9. Simple Linear Regression/6. Plotting and analysing the graph.mp422.32MB