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【压缩文件】 Instrument Data

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Bass Fingers HD.iso 15.6 GB
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【压缩文件】 EaseUS Data Recovery Wizard Technician + Pro 11.9 + Portable x64.zip

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EaseUS Data Recovery Wizard Technician + Pro 11.9 + Portable x64.zip 244.4 MB

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【压缩文件】 [ FreeCourseWeb.com ] PolyBase in SQL Server 2019 - Data Virtualization with SQL Server, Cosmos DB, PostgreSQL, and Other Database Engines.zip

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[ FreeCourseWeb.com ] PolyBase in SQL Server 2019 - Data Virtualization with SQL Server, Cosmos DB, PostgreSQL, and Other Database Engines.zip 339.3 MB

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【压缩文件】 Aprende.data.science.Conceptos.basicos

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【影视】 Tree and Graph Data Structures

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3. Tree Traversal/3. Traversing Nested Trees.mp4 71.2 MB
3. Tree Traversal/8. Count Recommendations.mp4 69.9 MB
4. Graphs/6. Graph Solution.mp4 67.3 MB
3. Tree Traversal/6. Binary Tree contains Solution.mp4 63.5 MB
1. Introduction/3. Stacks & Queues Review.mp4 50.9 MB
2. Trees/6. Coding a Tree.mp4 49.8 MB
3. Tree Traversal/2. Traversing One Tree.mp4 49.5 MB
2. Trees/3. Tree insert Solution.mp4 47.6 MB
5. Graph Search/10. Binary Search.mp4 45.9 MB
1. Introduction/1. Course Overview.mp4 44.1 MB
5. Graph Search/15. Binary Search Solution.mp4 42.8 MB
5. Graph Search/4. Depth First Search Solution.mp4 41.7 MB
5. Graph Search/9. Directed Graphs.mp4 38.5 MB
4. Graphs/2. Adjacency Matrix.mp4 37.8 MB
2. Trees/4. Tree remove Solution.mp4 37.1 MB
3. Tree Traversal/7. Binary Tree contains Walkthrough.mp4 33.2 MB
5. Graph Search/8. Depth-First & Breadth-First Search Usage.mp4 31.4 MB
4. Graphs/3. Adjacency List.mp4 30.6 MB
1. Introduction/2. Arrays & Linked Lists Review.mp4 30.4 MB
5. Graph Search/7. Breadth First Search Solution.mp4 29.5 MB

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【影视】 Pluralsight - Designing Storage Networking for Cisco Data Center Infrastructure by Greg Dickinson

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04. Evaluating Fibre Channel/01. Demo- Cisco Storage Hardware Overview.mp4 16.0 MB
05. Designing a Storage Area Network/02. Demo- HCI Hardware Overview.mp4 14.9 MB
02. Deploying iSCSI/05. Demo- Configuring ISCSI Initiators.mp4 14.4 MB
03. Configuring Quality of Service (QoS)/03. Demo- Defining and Applying Service Policies.mp4 14.2 MB
03. Configuring Quality of Service (QoS)/02. Demo- Creating a Class Map.mp4 13.0 MB
03. Configuring Quality of Service (QoS)/04. Demo- Validating QoS Configuration.mp4 12.7 MB
02. Deploying iSCSI/00. Overview of ISCSI.mp4 11.7 MB
02. Deploying iSCSI/03. Demo- Configuring ISCSI Targets Pt 1.mp4 11.1 MB
05. Designing a Storage Area Network/01. Demo- Hyperconverged Management Overview.mp4 10.8 MB
03. Configuring Quality of Service (QoS)/00. Overview of Fibre Channel QoS.mp4 10.5 MB
03. Configuring Quality of Service (QoS)/01. Demo- Enabling QoS Features.mp4 10.5 MB
05. Designing a Storage Area Network/00. Overview of HCI.mp4 10.5 MB
02. Deploying iSCSI/04. Demo- Configuring ISCSI Targets Pt 2.mp4 10.4 MB
02. Deploying iSCSI/06. Demo- Validating the Configuration.mp4 9.2 MB
04. Evaluating Fibre Channel/00. Overview of Fibre Channel Hardware.mp4 8.2 MB
02. Deploying iSCSI/02. Demo- Validating Network Configuration.mp4 7.6 MB
02. Deploying iSCSI/01. The ISCSI Protocol.mp4 6.7 MB
05. Designing a Storage Area Network/03. Overview of Shared Storage.mp4 4.3 MB
01. Course Overview/00. Course Overview.mp4 3.8 MB
05. Designing a Storage Area Network/04. Course Review.mp4 2.5 MB

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【压缩文件】 Complete Guide to Careers in Data Science

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Complete Guide to Careers in Data Science.zip 786.4 MB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

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【影视】 [FreeCoursesOnline.Me] [LYNDA] R Programming in Data Science Dates and Times [FCO]

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41 - The padr package.mp4 53.3 MB
17 - Getting and setting time components with Lubridate.mp4 15.7 MB
21 - Lubridate math with intervals.mp4 12.5 MB
01 - Calculating times and dates with R.mp4 12.4 MB
14 - Use read.csv() to import CSV date information.mp4 12.1 MB
33 - The timelineR package.mp4 12.1 MB
28 - The zoo package.mp4 11.4 MB
11 - Create sequences of dates, cut dates, and round dates.mp4 11.1 MB
12 - Extract parts of a date.mp4 11.1 MB
16 - Parsing date and time with Lubridate.mp4 10.7 MB
31 - Time-series rolling statistics.mp4 10.2 MB
29 - The xts package.mp4 9.9 MB
06 - The base R Date class.mp4 9.8 MB
08 - Dealing with time zones and daylight savings time.mp4 9.6 MB
13 - Presenting formatted dates and times.mp4 9.5 MB
20 - Lubridate math with periods.mp4 9.4 MB
27 - The base R ts class.mp4 9.4 MB
19 - Lubridate math with durations.mp4 9.4 MB
24 - The BusinessDuration package.mp4 9.2 MB
05 - Choose the right date and time tool.mp4 9.2 MB

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【压缩文件】 [ DevCourseWeb.com ] Skillshare - Introduction to Data Analytics on Amazon AWS Cloud - RedShift - Glue - QuickSight.zip

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[ DevCourseWeb.com ] Skillshare - Introduction to Data Analytics on Amazon AWS Cloud - RedShift - Glue - QuickSight.zip 2.3 GB

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【影视】 [FreeCoursesOnline.Me] Udacity - Data Analyst Nanodegree v1.0.0

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Part 12-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-qRv1wrtgsmM.mp4 118.9 MB
Part 12-Module 01-Lesson 05_Interview Practice/05. Maximum Difference in an Integer Array-i3RTW83wI1Q.mp4 112.4 MB
Part 12-Module 02-Lesson 08_Technical Interview - Python/07. Coding-zhQYREUI8Z0.mp4 110.1 MB
Part 12-Module 02-Lesson 08_Technical Interview - Python/08. Coding 2-qEteyPNRSwU.mp4 109.7 MB
Part 11-Module 01-Lesson 06_Datasets and Questions/01. Introduction-TdopVWltgqM.mp4 92.2 MB
Part 06-Module 01-Lesson 03_Analyzing Data/19. Geospatial Indexes-iGnSNfzaLf4.mp4 71.2 MB
Part 06-Module 01-Lesson 03_Analyzing Data/11. Unwind Operator-6wBjB3Ca5H4.mp4 61.3 MB
Part 12-Module 01-Lesson 05_Interview Practice/03. Free Throw Probability-Zyq0FQ0XO3o.mp4 59.4 MB
Part 14-Module 01-Lesson 05_Analyzing Results/09. Single Metric Example-LCZG4wlEFXE.mp4 56.3 MB
Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/29. Lessons Learned-_dnp6ItYOdA.mp4 55.4 MB
Part 13-Module 01-Lesson 08_Animation and Interaction/49. The Future of Data Visualizations--CWbVBYBYWU.mp4 55.2 MB
Part 12-Module 01-Lesson 05_Interview Practice/04. Query a SQL database-UVSFLWdAKl4.mp4 53.6 MB
Part 13-Module 01-Lesson 03_Problem Set Visualization Fundamentals/01. Data Visualization Resources-OYl-saB2vWE.mp4 52.9 MB
Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/15. JSON Playground-la_rboWWjQI.mp4 52.4 MB
Part 12-Module 01-Lesson 03_Interview Fails/04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.mp4 52.2 MB
Part 09-Module 01-Lesson 07_Explore Many Variables/16. Sean's NFL Fan Sentiment Study-ahaxt6UKxQw.mp4 52.0 MB
Part 14-Module 01-Lesson 05_Analyzing Results/16. Analyzing Multiple Metrics-mbHnQ_EdrZ8.mp4 52.0 MB
Part 04-Module 03-Lesson 01_Investigate a Dataset/05. Investigate A Dataset Project Walkthrough Final-OtDZCYxbHB4.mp4 51.8 MB
Part 14-Module 01-Lesson 04_Designing an Experiment/23. Learning Effects-nFpIDWPUDm8.mp4 51.4 MB
Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/09. Using CSV Module--S4vc6tvxoI.mp4 51.2 MB

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【压缩文件】 [ FreeCourseWeb.com ] PluralSight - Managing Windows 10 Devices and Data.rar

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[ FreeCourseWeb.com ] PluralSight - Managing Windows 10 Devices and Data.rar 507.6 MB

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【影视】 [FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python

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1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
2. BONUS Python Crash Course/8. String Methods.mp4 78.3 MB
11. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
11. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 77.9 MB
1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4 76.6 MB
4. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4 70.8 MB
6. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4 64.1 MB
3. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4 63.3 MB
6. DataFrames III Data Extraction/8. Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
2. BONUS Python Crash Course/7. Custom Functions.mp4 59.2 MB
2. BONUS Python Crash Course/10. Index Positions and Slicing.mp4 58.3 MB
11. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4 56.8 MB
2. BONUS Python Crash Course/11. Dictionaries.mp4 56.4 MB
2. BONUS Python Crash Course/4. Operators.mp4 53.1 MB
4. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4 52.2 MB
12. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4 51.6 MB

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【影视】 GetFreeCourses.Me-Udemy-Python for Data Science and Machine Learning Bootcamp

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25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB

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【压缩文件】 SQL for Data Analysis Core Data Scientist’s Skills

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SQL for Data Analysis Core Data Scientist’s Skills.zip 1.0 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

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【影视】 [Tutorialsplanet.NET] Udemy - Build a Data Analysis Library from Scratch in Python

收录时间:2021-03-21 文档个数:116 文档大小:6.2 GB 最近下载:2025-05-16 人气:794 磁力链接

4. DataFrame Construction/1. Check DataFrame Constructor Input Types.mp4 397.7 MB
1. Project Genesis/2. Pandas Cub Examples.mp4 266.1 MB
2. Environment Setup/4. Installing an IPython Kernel for Jupyter.mp4 255.5 MB
9. Other Methods and Operators/6. Arithmetic and Comparison Operators.mp4 216.2 MB
6. Subset Selection/10. Create a New Column.mp4 195.7 MB
11. Documentation, Strings, and Reading CSVs/2. String-only Methods.mp4 172.9 MB
2. Environment Setup/2. Setting up the Development Environment.mp4 165.2 MB
3. Getting Ready to Code/3. Manually Test in a Jupyter Notebook.mp4 156.9 MB
10. Pivot Tables/1. Pivot Tables Part 1.mp4 154.2 MB
1. Project Genesis/1. Project Overview.mp4 152.9 MB
4. DataFrame Construction/3. Convert Unicode Arrays to Object.mp4 149.3 MB
9. Other Methods and Operators/3. Non-Aggregation Methods.mp4 147.7 MB
2. Environment Setup/3. Test-Driven Development.mp4 146.7 MB
9. Other Methods and Operators/8. The sample Method.mp4 137.9 MB
5. Basic Properties and Visual Representation/5. Visual Notebook Representation.mp4 137.3 MB
6. Subset Selection/6. Select Rows as Booleans, Lists, or Slices.mp4 134.0 MB
5. Basic Properties and Visual Representation/3. Set New Column Names.mp4 133.5 MB
9. Other Methods and Operators/7. The sort_values Method.mp4 129.0 MB
5. Basic Properties and Visual Representation/7. The dtypes Property.mp4 120.3 MB
6. Subset Selection/5. Select a Single Cell.mp4 120.2 MB

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【影视】 Applied Data Science with Python

收录时间:2021-03-21 文档个数:665 文档大小:2.1 GB 最近下载:2025-05-16 人气:14336 磁力链接

[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/04_network-evolution/01_module-4-applications/03_small-world-networks.mp4 55.6 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/04_network-evolution/01_module-4-applications/04_link-prediction.mp4 44.2 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/03_module-3-evaluation/01_module-3-evaluation/01_model-evaluation-selection.mp4 33.3 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/03_module-3-classification-of-text/01_module-3-classification-of-text/05_support-vector-machines.mp4 32.9 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.mp4 30.7 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/04_network-evolution/01_module-4-applications/01_preferential-attachment-model.mp4 30.7 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/12_decision-trees.mp4 28.8 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/04_module-4-supervised-machine-learning-part-2/01_module-4-supervised-machine-learning-part-2/04_neural-networks.mp4 28.4 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/09_k-nearest-neighbors-classification.mp4 28.2 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/04_module-4-topic-modeling/01_module-4-topic-modeling/05_information-extraction.mp4 28.0 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/10_kernelized-support-vector-machines.mp4 28.0 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/02_betweenness-centrality.mp4 27.7 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/03_module-3-classification-of-text/01_module-3-classification-of-text/03_naive-bayes-classifiers.mp4 27.7 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/05_hubs-and-authorities.mp4 27.5 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/02_network-connectivity/01_module-2-network-connectivity/02_distance-measures.mp4 27.3 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/01_introduction-to-supervised-machine-learning.mp4 26.2 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/05_linear-regression-least-squares.mp4 25.1 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/04_key-concepts-in-machine-learning.mp4 25.0 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/02_module-2-basic-natural-language-processing/01_module-2-basic-natural-language-processing/02_basic-nlp-tasks-with-nltk.mp4 24.6 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/01_module-1-working-with-text-in-python/01_module-1-working-with-text-in-python/04_handling-text-in-python.mp4 24.5 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Google Cloud Professional Data Engineer - Get Certified 2020.zip

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[ FreeCourseWeb.com ] Udemy - Google Cloud Professional Data Engineer - Get Certified 2020.zip 1.5 GB

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【影视】 [FreeCourseLab.com] Udemy - Master SQL For Data Science

收录时间:2021-03-21 文档个数:39 文档大小:1.4 GB 最近下载:2025-05-14 人气:2887 磁力链接

Lesson 37. Working with Rollups and Cubes.mp4 117.4 MB
Lesson 35. RANK, FIRST_VALUE and NTILE Functions.mp4 116.7 MB
Lesson 32. Creating Views vs. Inline Views.mp4 84.3 MB
Lesson 4. Install Postgres on Windows.mp4 75.1 MB
Lesson 36. LEAD and LAG Functions.mp4 66.2 MB
Lesson 1. Course Overview.mp4 55.4 MB
Lesson 5. Create Table and Insert Statements.mp4 45.3 MB
Lesson 28. INNER and OUTER Joins + [EXERCISES].mp4 42.6 MB
Lesson 8. Filter Data Using the WHERE Clause + AND & OR.mp4 42.4 MB
Lesson 6. Prepare the Database.mp4 41.9 MB
Lesson 34. Ordering Data in Window Frames.mp4 36.5 MB
Lesson 23. Conditional Expressions Using CASE Clause + [EXERCISES].mp4 34.7 MB
Lesson 21. Subqueries with ANY and ALL Operators + [EXERCISES].mp4 34.6 MB
Lesson 7. Introducing the SELECT Statement.mp4 34.4 MB
Lesson 25. Understanding Correlated Subqueries.mp4 33.6 MB
Lesson 24. Transposing Data using the CASE Clause + [EXERCISES].mp4 31.7 MB
Lesson 9. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.mp4 31.6 MB
Lesson 33. Window Functions using the OVER() Clause.mp4 31.3 MB
Lesson 20. Subqueries Continued + [EXERCISES].mp4 31.2 MB
Lesson 31. [EXERCISES] Joins and Subqueries Continued.mp4 28.7 MB

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Lesson 48. Implementation of O(n^2Logn) and O(n^2Logk) Solutions.mp4 48.9 MB
Lesson 25. Implementation of O(n^2) Solution.mp4 40.5 MB
Lesson 19. Recursive Algorithm Solution That runs in O(n^2) Time.mp4 33.7 MB
Lesson 15. Optimizing further and reaching O(n) Solution.mp4 29.6 MB
Lesson 47. Idea of O(n^2Logn) Naive Solution and O(n^2logk) Optimized Solution using Heap.mp4 28.3 MB
Lesson 24. Naive O(n^2) Solution with additional boolean array.mp4 26.4 MB
Lesson 5. Implementing the O(nlogn) Solution.mp4 26.0 MB
Lesson 31. Optimizing Using Hashmaps to get O(n) Solution on average.mp4 25.7 MB
Lesson 26. Optimizing on the last algorithm to an O(n) Solution.mp4 23.9 MB
Lesson 44. O(nlogk) Optimized Solution Using a Heap.mp4 23.8 MB
Lesson 35. O(n^2) Solution idea for Valid anagram.mp4 23.2 MB
Lesson 40. O(n) Solution Implementation.mp4 21.3 MB
Lesson 4. Optimizing Further for O(nlogn) Solution.mp4 20.8 MB
Lesson 36. O(n^2) Solution Implementation.mp4 20.5 MB
Lesson 16. Implementation of O(n) Solution.mp4 19.2 MB
Lesson 9. O(n) Solution idea and optimizations.mp4 18.3 MB
Lesson 13. O(nlogn) Improved Solution.mp4 16.9 MB
Lesson 50. O(n) Recursive Solution Idea.mp4 16.7 MB
Lesson 29. Bruteforce Algorithm Idea O(nk) Solution.mp4 16.4 MB
Lesson 27. Implementation of O(n) Solution.mp4 16.2 MB

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