29:13

Lists vs Sets vs Dictionary vs Tuple: Performance Comparison and Analysis | Topic #22

06:47

COUNT(*) vs COUNT(1) in SQL | SQL for Data Professionals | Topic #6

10:50

SQL Group By and Having| SQL for Data Professionals | Topic #5

24:31

SQL Joins- Simplified|INNER JOIN, LEFT JOIN, RIGHT JOIN, OUTER JOIN, CROSS JOIN,SELF JOIN | Topic #4

09:06

DCL(Data Control Language) | SQL for Data Professionals | Topic #3

09:11

DML(Data Manipulation Language) | SQL for Data Professionals | Topic #2

16:09

Lists vs Sets vs Dictionary vs Tuple- with Real time Use Cases | Topic #21

11:48

DDL(Data Definition Language) | SQL for Data Professionals | Topic #1

17:30

SQL for Data Professionals: Introduction | Topic 0

11:15

Python SETS in Action - with Real time Use Cases | Topic #20

28:46

Python TUPLES in Action - with Real time Use Cases | Topic #19

13:14

Python Dictionary in Action - with Real time Use Cases | Topic #18

17:55

Categorical data encoding using CHATGPT- (PART II) | Topic 5

40:02

Python LIST in Action - with Real time Use Cases | Topic #17

34:45

Python STRING Data Type In Details:Slicing, String methods, Formatting, Escape Characters| Topic #16

17:36

Categorical data encoding using CHATGPT- (PART I) | Topic 4

25:48

Python Data Types- Numbers, Strings, Lists, Dictionary, Tuple, Sets, Boolean | Topic #15

21:23

Conditionals and Loops in Python and Importance of them in Data Processing and analysis | Topic #25

23:16

Practice Python without any Installation using Online Platforms for FREE | Topic #14

07:33

Install Sublime Text Editor for Python | Python for Data Professionals | Topic #13

18:58

Data Preparation and Cleaning using CHAT GPT | Topic 3

14:10

Which Python IDE is Best for you? VS Code vs Jupyter vs PyCharm vs Spyder | Topic #12

22:44

Prompt Engineering and its Key Features | Topic 2

14:01

Install VS(Visual Studio) Code for Python development | Python for Data Professional| Topic #11

24:19

Generative AI: Key Concepts, Techniques and Applications | Topic 1

12:33

Install Spyder IDE for using Anaconda and Python PIP | Python for Data Professional | Topic #10

16:18

Install Jupyter Notebook using Anaconda and Python PIP |Python for Data Professional | Topic #9

18:44

ChatGPT for Data Professionals Course -Introduction | Topic 0

08:47

Install Python and PyCharm IDE on Windows |Python for Data Professional | Topic #8

18:15

Execute Python Program Using Command Line and Interactive Mode|Python for Data Professional|Topic #7

15:19

Step-by-Step Guide to Install Python and create Python Virtual Environment on Windows | Topic #6

18:26

Application of Python in different domains and industries | Python for Data Professionals | Topic #5

18:09

Python: Is it a Compilation or Interpretation language | Python for Data Professionals | Topic #4

18:03

Why Python for Data Processing | Python for Data Professionals | Topic #3

21:09

How Python Stands out from JAVA,C/C++,JavaScript, SQL | Python for Data Professionals | Topic #2

28:32

Primary Key vs Surrogate Key | Data Modelling Master Class| Topic 13

19:09

Python Introduction - History and Features | Python for Data Professionals | Topic #1

32:00

Normalization-Normal Forms- 1NF,2NF,3NF,BCNF,4NF,5NF | Data Modelling Master Class| Topic 12

16:31

Normalization-Purpose and consequence of not using it | Data Modelling Master Class| Topic 11

26:45

Entity and Attributes, Relationship in Detail | Data Modelling Master Class| Topic 10

26:38

Key Elements of Logical Data Modelling | Data Modelling Master Class| Topic 9

38:25

Is Data Modelling still Relevant? | Data Modelling Master Class| Topic 8

16:56

Who all needs to be involved in Data Modelling? | Data Modelling Master Class| Topic 7

29:55

Where does Data Model Fit in Software development Approaches | Data Modelling Master Class| Topic 6

18:59

Purpose of 3 Schema: External, Conceptual and Internal Schema | Data Modelling Master Class| Topic 5

32:43

Conceptual, Logical, Physical Data Model | Data Modelling Master Class| Topic 4

37:33

What makes a Good Data Model | Data Modelling Master Class| Topic 3

17:31

Importance of Data Model | Data Modelling Master Class| Topic 2

21:45

Data Modelling Master Class-Series | Introduction -Topic 1

12:01

Modern Data Architecture- Delta Lake | Introduction -Topic 1

16:36

Microsoft Fabric System Design-MVP Based | Microsoft Fabric Concepts-Topic 10

18:36

Do I Loose my Job because of Microsoft Fabric? | Microsoft Fabric Concepts-Topic 9

23:49

Microsoft Fabric Licensing and costing | Microsoft Fabric Concepts-Topic 8

10:36

Data Activator | Microsoft Fabric Concepts: Topic 7

13:47

Microsoft Fabric:Delta/Parquet Format | Microsoft Fabric Concepts : Topic 6

11:34

Delta Lake and Delta Tables | Microsoft Fabric Concepts: Topic 5

21:02

Lakehouse and Datawarehouse | Microsoft Fabric Concepts: Topic 4

11:48

Direct Lake Mode in Power BI | Microsoft Fabric Concepts : Topic 3

26:40

Microsoft Fabric One Lake | Microsoft Fabric Concepts : Topic 2

20:48

Topic 26: User Defined Functions in Databricks