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4. Introduction - Data Types.srt
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1 - Introduction
2 - You can code!
3 - Coding in a nutshell
4 - Common Coding Concepts
16. Common Data Types.en_US.srt
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19.8 KB
16. Common Data Types.vi_VN.srt
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01. Introduction
02. 1. Getting Started in MySQL
03. 2. Querying Basics
04. 3. Data Types and Functions
05. 4. Group By
01. Group by introduction.srt
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4.3 KB
02. Group by basics.srt
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03. Aggregate functions.srt
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04. Having vs where clause.srt
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05. Rollup.srt
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06. 5. Joins
01. Joins introduction.srt
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02. Inner joins.srt
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03. Joining multiple tables.srt
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04. Joining on multiple conditions.srt
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05. Outer joins.srt
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06. Self joins.srt
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07. Cross joins.srt
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08. Natural join.srt
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09. USING keyword.srt
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10. Unions.srt
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11. Join use cases.srt
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07. 6. Subqueries
01. Subquery introduction.srt
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02. Subquery basics.srt
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03. ANY and ALL operators.srt
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04. Exists.srt
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4. Introduction - Data Types.srt
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1 - Introduction
2 - Basics of Connecting Organizing Data
3 - Transforming Data in Power Query
4 - Building Relationships
35 - Table Types English.srt
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4.4 KB
36 - Key Types English.srt
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Machine Learning Made Easy - Beginner to Advanced using R
Machine Learning Made Easy - Beginner to Advanced using R
1. Introduction to R
4. R Data types Vectors.srt
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14.25 KB
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1 - Introduction to Automation and Omron PLCs
2 - Variables and Data Types
4. Omron PLC(Sysmac Studio) Local and Global Variables.en_US.srt
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10.9 KB
3 - Introduction to Omron PLC and Sysmac Studio and Basic Operations
4 - Basic Programming and Command Usage
11. Omron PLC(Sysmac Studio) Set - Reset Command and Rising - Falling Edge.en_US.srt
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9.4 KB
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01. Introduction
02. 1. Evolution and Overview
03. 2. Telecom Network Architecture
04. 3. 4G LTE Fundamentals
05. 4. 4G LTE Radio Fundamentals
06. 5. 4G LTE Physical Layer (Layer 1)
07. 6. 4G LTE Data Link Layer (Layer 2)
08. 7. 4G LTE Control Plane (Layer 3 - RRC)
09. 8. 4G LTE Transport Network
10. 9. 4G LTE Core Network
11. 10. Network Identity and Call Flow
12. 11. Drive Test
13. 12. 4G LTE Accessibility KPIs
15. Types of EPS bearers in LTE.srt
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01. Introduction
02. 1. Domain 1 Database Fundamentals
03. 2. Understanding Data
04. 3. Data Storage
05. 4. Structured Query Language
06. 5. Database Programming
07. 6. Domain 2 Database Deployment
08. 7. Database Planning
09. 8. Database Implementation and Deployment
10. 9. Database Testing
11. 10. Database Validation
12. 11. Domain 3 Database Management and Maintenance
13. 12. Monitoring and Reporting
14. 13. Database Maintenance
15. 14. Database Documentation
16. 15. Data Management
17. 16. Domain 4 Data and Database Security
18. 17. Data Security Concepts
19. 18. Compliance
05. Data types.srt
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Cay Horstmann
Subtitiles
Lesson 4 - Fundamental Data Types Subtitles
01 - Introduction.srt
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814 B
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1 - Introduction
2 - TypeScript Basics & Core Concepts
3 - Using TypeScript with React Essentials
4 - Advanced Component Types Dynamic Components Polymorphic Components & More
5 - Advanced Type Safe State with Context API & useReducer()
6 - Side Effects useEffect() & Data Fetching with TypeScript
74. Module Introduction.en_US.srt
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75. Creating a First Side Effect.en_US.srt
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76. Using useEffect() with TypeScript.en_US.srt
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77. Managing An Interval With Refs & The Effect Cleanup Function.en_US.srt
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78. useEffect() & Its Dependencies.en_US.srt
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80. Onwards to Data Fetching.en_US.srt
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81. Building a Utility get Function with TypeScript.en_US.srt
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82. Fetching & Transforming Data.en_US.srt
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85. Handling Loading & Error States.en_US.srt
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7 - Using Redux with TypeScript
86. Module Introduction.en_US.srt
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87. The Starting Project.en_US.srt
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88. Redux Setup.en_US.srt
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89. Creating a Redux Store & A First Slice.en_US.srt
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90. Setting a State Type.en_US.srt
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91. A First Reducer & Controlling the Action Payload Type.en_US.srt
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92. Adding Logic To The Reducer.en_US.srt
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93. Providing the Redux Store.en_US.srt
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94. Dispatching Actions & Adjusting the useDispatch Hook.en_US.srt
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95. Creating a Type Safe useSelector Hook.en_US.srt
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96. Selecting & Transforming Redux Store Data.en_US.srt
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1 - Introduction
2 - Basic Formatting
3 - Making Consistent Formula
4 - Cell Styles
5 - Advanced Data Types
17. Conditional Formatting.en_GB.srt
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18. Using Dates.en_GB.srt
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19. Data Validation.en_GB.srt
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20. Using Text and Text Formula.en_GB.srt
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6 - Templates
21. Template Concepts.en_GB.srt
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22. Creating a Template.en_GB.srt
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23. Setting up Clone Template.en_GB.srt
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24. Clone Template Use.en_GB.srt
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25. Templates Formula for Status.en_GB.srt
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26. Templates Percent Available.en_GB.srt
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27. Templates Percent Lost.en_GB.srt
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7 - Themes in Excel
28. Themes.en_GB.srt
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29. Themes Exercise.en_GB.srt
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8 - Close
30. Close.en_GB.srt
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31. Bonus.en_GB.srt
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4. Data Types - Introduction.srt
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4. Introduction - Data Types.srt
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4. Data types- Introduction.srt
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DP-900 Microsoft Azure Data Fundamentals Preparation Course
[TutsNode.com] - DP-900 Microsoft Azure Data Fundamentals Preparation Course
1. Introduction
4. Different types of data.srt
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4.39 KB
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1 - Introduction
10 - AI in Decentralised trial logistics, Regulatory compliance and data privacy
11 - AI in virtual clinical trial platform, adaptive trial design & Real time data
12 - AI for outcome measures, literature review and biomarker discovery
2 - Clinical Trial types and Decentralised clinical trial
4. What is Decentralised Clinical trial.en_US.srt
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3 - Types ,Key features, advantages and limitation of Observational clinical trial
4 - Ethical consideration, Applications and Future of observational clinical trial
10. Ethical consideration.en_US.srt
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11. Applications of observational clinical trial.en_US.srt
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12. Future of observational clinical trial.en_US.srt
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5 - AI in Decentralised observatioal clinical trial and patient recruitment
13. Artificial Intelligence in Decentralised Observational Clinical Tria.en_US.srt
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14. AI powered patient recruitment and screening.en_US.srt
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6 - Remote Data collection and Data analysis
15. Remote Data collection and wearable devices.en_US.srt
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16. AI-Driven data analysis and pattern recognition.en_US.srt
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7 - AI for patient communication and protocol adherence and monitoring
17. Natural Language processing for patient communication.en_US.srt
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18. AI for protocol adherence and monitoring.en_US.srt
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8 - AI in virtual site monitoring and predictive modelling
19. AI in virtual site monitoring and quality control.en_US.srt
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20. AI-Driven predictive modelling for patient outcome.en_US.srt
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9 - AI for real world evidence generation and patient engagement
21. AI for Real world evidence generation.en_US.srt
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22. AI Enabled patient engagement and retention strategies.en_US.srt
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1 - Introduction to Chat GPT
2 - Working with Chat GPT and Jupyter Lab
3 - Prompt Engineering
4 - Data Screening and Descriptive and Analysis in Chat GPT
5 - Data Analysis Plan Using ChatGPT
6 - Descriptive Statistics Using ChatGPT
40. Types of Measures of Central Tendency.en_US.srt
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7 - Analysis of Group Differences Using ChatGPT
44. Types of Group Difference tests.en_US.srt
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8 - Correlational Analysis Using ChatGPT
9 - Regression Analysis Using ChatGPT
63. Types of Regression Linear Multiple Logistic.en_US.srt
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64. Types of Regression Polynomial Ridge and Lasso Reg.en_US.srt
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65. Types of Regression Elastic Net Quantile and Poisson.en_US.srt
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