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- 【影视】 The Data Science Course 2020 - Complete Data Science Bootcamp
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收录时间:2022-01-31
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The Data Science Course 2020 - Complete Data Science Bootcamp/16 Statistics - Practical Example Descriptive Statistics/093 Practical Example Descriptive Statistics.mp4 168.2 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/12 Probability - Distributions/066 A Practical Example of Probability Distributions.mp4 165.5 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/11 Probability - Bayesian Inference/051 A Practical Example of Bayesian Inference.mp4 152.2 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/40 Part 6 Mathematics/283 Why is Linear Algebra Useful.mp4 151.3 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/05 The Field of Data Science - Popular Data Science Techniques/011 Techniques for Working with Traditional Data.mp4 145.0 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/10 Probability - Combinatorics/039 A Practical Example of Combinatorics.mp4 140.8 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/03 The Field of Data Science - Connecting the Data Science Disciplines/009 Applying Traditional Data Big Data BI Traditional Data Science and ML.mp4 133.0 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/05 The Field of Data Science - Popular Data Science Techniques/020 Types of Machine Learning.mp4 131.2 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/56 Software Integration/406 Taking a Closer Look at APIs.mp4 121.2 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/05 The Field of Data Science - Popular Data Science Techniques/017 Techniques for Working with Traditional Methods.mp4 117.1 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/02 The Field of Data Science - The Various Data Science Disciplines/007 Continuing with BI ML and AI.mp4 114.3 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/56 Software Integration/405 What are Data Connectivity APIs and Endpoints.mp4 109.1 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/06 The Field of Data Science - Popular Data Science Tools/022 Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/55 Appendix Deep Learning - TensorFlow 1 Business Case/395 Business Case Preprocessing.mp4 108.4 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/19 Statistics - Practical Example Inferential Statistics/118 Practical Example Inferential Statistics.mp4 107.6 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/05 The Field of Data Science - Popular Data Science Techniques/019 Machine Learning (ML) Techniques.mp4 104.1 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/13 Probability - Probability in Other Fields/067 Probability in Finance.mp4 103.9 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/35 Advanced Statistical Methods - Practical Example Linear Regression/226 Practical Example Linear Regression (Part 1).mp4 101.8 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/20 Statistics - Hypothesis Testing/120 Null vs Alternative Hypothesis.mp4 96.5 MB
The Data Science Course 2020 - Complete Data Science Bootcamp/05 The Field of Data Science - Popular Data Science Techniques/015 Business Intelligence (BI) Techniques.mp4 94.3 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp
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16/1. Practical Example Descriptive Statistics.mp4 168.2 MB
12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
3/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
2/7. Continuing with BI, ML, and AI.mp4 114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.6 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB
13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
35/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.6 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB
13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
12. Probability - Distributions/3. Types of Probability Distributions.mp4 96.0 MB
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- 【影视】 Advanced Data Analytics Training using Python
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文档个数:483
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01 Python Fundamentals/006 Built in Data Types and Type Casting.mp4 144.3 MB
01 Python Fundamentals/002 Why should you learn Python_.mp4 135.3 MB
06 Statistics and Probability/024 Confidence Intervals.mp4 127.2 MB
02 Python Data Structures/023 Time Complexity.mp4 126.1 MB
02 Python Data Structures/027 Insertion and Selection Sort.mp4 126.0 MB
02 Python Data Structures/028 Merge Sort.mp4 120.9 MB
02 Python Data Structures/021 Exercise on Stacks and Queues.mp4 118.2 MB
02 Python Data Structures/025 Binary Search.mp4 114.8 MB
08 Data Cleaning/022 Data Cleaning on Naukri Dataset.mp4 111.4 MB
05 Data Exploration/007 Exploring the Dabl Library.mp4 106.8 MB
06 Statistics and Probability/008 Permutations and Combinations.mp4 101.6 MB
02 Python Data Structures/024 Linear Search.mp4 100.0 MB
01 Python Fundamentals/003 Installing Python and Jupyter Notebook.mp4 99.8 MB
01 Python Fundamentals/005 Naming Convention for variables.mp4 99.6 MB
03 Python Functions Deepdive/007 Exercises on Functions.mp4 97.0 MB
02 Python Data Structures/030 Exercise on Searching and Sorting.mp4 94.5 MB
06 Statistics and Probability/020 Sample Mean and Population Mean.mp4 90.4 MB
06 Statistics and Probability/009 Quiz Solution.mp4 90.0 MB
03 Python Functions Deepdive/038 Exercise on Classes and Objects.mp4 89.3 MB
03 Python Functions Deepdive/009 Exercises on Modules.mp4 88.8 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Data Engineering Essentials using SQL, Python, and PySpark
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45 - Recap of important Linux Commands for Data Engineering/005 Understanding PATH Environment Variable.mp4 139.2 MB
51 - Submitting Python based Spark Applications/012 Submit Spark Applications with dependencies as jars.mp4 129.6 MB
47 - Build Hive Applications in Hadoop and Spark Clusters/019 Schedule Hive Applications using Cron.mp4 118.7 MB
45 - Recap of important Linux Commands for Data Engineering/002 Overview of SSH to connect to remote Servers.mp4 118.6 MB
44 - Setup Hadoop and Spark Cluster using Dataproc/007 Setup Project using VS Code Remote Development.mp4 98.4 MB
46 - Mastering Hadoop HDFS Commands and Concepts/018 Recap of HDFS on Dataproc Cluster.mp4 90.6 MB
48 - Getting Started with Spark SQL on Hadoop and Spark Cluster/006 Populate Data into Delta Lake Tables using Spark SQL.mp4 88.9 MB
46 - Mastering Hadoop HDFS Commands and Concepts/014 Overview of Blocks related to files in HDFS.mp4 87.9 MB
51 - Submitting Python based Spark Applications/010 Deep Dive into Spark Deploy Modes.mp4 87.5 MB
49 - Build Real Time Applications using Spark SQL with Shell Wrapper/007 Populate Data for Additional Years into Delta NYSE Table.mp4 87.1 MB
45 - Recap of important Linux Commands for Data Engineering/010 Listing Files and Folders using ls command.mp4 84.0 MB
51 - Submitting Python based Spark Applications/011 Submit Spark Applications with dependencies as packages.mp4 79.6 MB
48 - Getting Started with Spark SQL on Hadoop and Spark Cluster/008 Run Spark SQL Scripts using Spark SQL CLI.mp4 79.3 MB
45 - Recap of important Linux Commands for Data Engineering/007 Copy Files and Folders in Linux using cp command.mp4 79.2 MB
10 - Solutions for Basic SQL Queries/005 Solution for Exercise 2 to get Dormant Customers using Outer Join.mp4 79.2 MB
16 - Troubleshooting and Debugging Python Issues/014 Debug VS Code Notebooks using Debug Feature.mp4 77.3 MB
53 - Performance Tuning of Spark Applications on Hadoop and Spark/028 Demo on Spark Dynamic Allocation.mp4 76.2 MB
24 - Pre-Defined Functions in Spark SQL/018 Overview of Numeric Functions in Spark SQL.mp4 76.0 MB
47 - Build Hive Applications in Hadoop and Spark Clusters/002 Getting Started with Hive.mp4 75.2 MB
53 - Performance Tuning of Spark Applications on Hadoop and Spark/025 Run Spark Application with out Adaptive Query Execution.mp4 73.5 MB
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- 【影视】 Complete 2020 Data Science & Machine Learning Bootcamp
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Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 MB
Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.mp4 178.2 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 160.7 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 160.4 MB
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26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 358.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 344.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 342.2 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 301.9 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 280.5 MB
20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.7 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.7 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 241.7 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 223.4 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 217.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 207.4 MB
26. Presenting for Data Scientists/7. How to present to executives.mp4 207.1 MB
25. Working with people/6. The art of saying No.mp4 206.0 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 199.0 MB
10. Multiple Linear Regression/8. Backward Elimination - Practice time.mp4 196.0 MB
25. Working with people/8. Building a data culture.mp4 194.2 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 188.3 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 181.9 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 179.7 MB
10. Multiple Linear Regression/10. Interpreting coefficients of MLR.mp4 176.9 MB
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26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 358.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 344.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 342.2 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 301.9 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 280.5 MB
20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.7 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.6 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 241.7 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 223.4 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 217.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 207.4 MB
26. Presenting for Data Scientists/7. How to present to executives.mp4 207.1 MB
25. Working with people/6. The art of saying No.mp4 205.9 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 199.0 MB
10. Multiple Linear Regression/8. Backward Elimination - Practice time.mp4 196.0 MB
25. Working with people/8. Building a data culture.mp4 194.2 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 188.3 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 181.9 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 179.7 MB
10. Multiple Linear Regression/10. Interpreting coefficients of MLR.mp4 176.9 MB
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26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 358.5 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 344.7 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 342.2 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 301.8 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 280.5 MB
20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.7 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.6 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 241.7 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 223.4 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 217.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 207.4 MB
26. Presenting for Data Scientists/7. How to present to executives.mp4 207.1 MB
25. Working with people/6. The art of saying No.mp4 206.0 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 199.0 MB
10. Multiple Linear Regression/8. Backward Elimination - Practice time.mp4 196.0 MB
25. Working with people/8. Building a data culture.mp4 194.2 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 188.3 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 181.9 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 179.7 MB
10. Multiple Linear Regression/10. Interpreting coefficients of MLR.mp4 176.9 MB
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26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 358.5 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 344.7 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 342.2 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 301.8 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 280.5 MB
20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.7 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.6 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 241.7 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 223.4 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 217.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 207.4 MB
26. Presenting for Data Scientists/7. How to present to executives.mp4 207.1 MB
25. Working with people/6. The art of saying No.mp4 206.0 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 199.0 MB
10. Multiple Linear Regression/8. Backward Elimination - Practice time.mp4 196.0 MB
25. Working with people/8. Building a data culture.mp4 194.2 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 188.3 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 181.9 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 179.7 MB
10. Multiple Linear Regression/10. Interpreting coefficients of MLR.mp4 176.9 MB
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26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 358.5 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 344.7 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 342.2 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 301.8 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 280.5 MB
20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.7 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.6 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 241.7 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 223.4 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 217.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 207.4 MB
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