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Mr DataScientist @UCNeND4DI-cjg8QlFnTfb9SA@youtube.com

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πŸ“Š Welcome to Mr DataScientist where the world of data meets


02:17
System Flow Diagram for FYP: Chest X-Ray Analysis | Key Workflow Explained
03:52
Core Technologies of Big Data Era | Lecture 3
03:23
5 Vs of Big Data: Volume, Velocity, Variety, Veracity, and Value Explained | Lecture 2
03:27
What is Big Data Introduction | Lecture 1
04:35
Sequential vs Concurrent System | Examples & Advantages| Lecture 2 | slides Available
04:52
Introduction Parallel & Distributed Computing | Key Difference
04:17
Data Preprocessing Steps | Data Integration| Data Transformation| Part 2 |Slide Available
03:17
Data Preprocessing Steps | Part 1 | Missing values| Noisy Data | Check Inconsistency
04:44
What is Noise in Data: In simple way its Impact, Sources, Types, and Handling
04:32
Knowledge Discovery in Databases | KDD: Steps and Components Explained | lecture #3
05:44
Hypothesis Testing: Null | Alternative Hypothesis |Test Statistics (Z-test & T-test) | lecture#7
05:58
Measures of Central Tendency: Mean(Its Types), Median, Mode, |lecture#6
05:40
Exploring Data Types: Quantitative, Qualitative, Primary, and Secondary Data | Lecture#5
07:40
Scale of Measurement: Nominal, Ordinal, Interval, and Ratio Scales |lecture#4
04:23
What is Sample & Population: Key Differences | lecture#3
07:48
Descriptive and Inferential Statistics: Examples Explained in English & Roman Urdu | lecture#2
05:55
What is Statistics : Daily life Applications in Easy way | lecture#1
09:57
Data Mining Techniques: Classification, Clustering, Regression, & More | lecture #2
05:31
What is Data Mining: Its History, Concepts, and Applications | lecture #1
13:40
Data Science Tool Comparison: Unveiling Ease, Connectivity, Visuals, and More!
09:41
Data Science Tools: Purposes| Benefits| Key Features
08:24
Data Warehouse Life Cycle: From Requirement Specification to Test & Deployment | lecture #6
08:10
Data Modeling Life Cycle: What is Conceptual, Logical, and Physical Models | Lecture #5
04:12
Operational Data Stores (ODS) Demystified: ODS vs. Data Warehousing | Lecture #4"
04:58
What is Data Marts: Types and Structures | Lecture #3
05:23
ETL in Data Warehousing: Extract, Transform, Load | Lecture #2
13:11
Data Warehousing & BI: Its Introduction Characteristics and Architecture | Lecture #1