Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2024 Edition
ฝัง
- เผยแพร่เมื่อ 26 ก.ย. 2024
- Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2024 Edition
🔴 To learn Data Analytics Course online with regular LIVE CLASSES, enroll now: www.wscubetech...
GitHub Link: github.com/Ayu...
00:00:00 - 02:15:26: Python Basics
- Introduction to Python for Data Analytics
- Python Installation in Windows
- Python IDE (Pycharm)
- First Program in Python
- Comments, Variables, Datatypes, User-Inputs
- TypeCasting, Subtypes, Problem-Solving
- Operators and Operands
- Conditional Statements
02:40:22 - 06:36:18: Python - Loops and Lists
- Introduction to Loops
- For Loop, While Loop, Nested Loops
- For Loop with Conditional Statements
- Break and Continue Statement
- Loops Problem Solving
- Introduction to Lists
- Lists Slicing, Iteration, Functions
- List Comprehension, Problem Solving
06:47:43 - 07:36:16: Tuples, Dictionaries, and Sets in Python
- Introduction to Tuples
- Tuples Slicing, Iteration, Functions, Problem Solving
- Introduction to Dictionaries
- Iteration, Functions, Nested Dictionaries, Problem Solving
- Introduction to Sets
- Set Methods, Problem Solving
08:16:10 - 09:14:20: Python Functions and Modules
- Introduction to Functions
- Parameters, Arguments, Return Statement, Recursion
- Lambda Function, Local and Global Variables
- Functions Problem Solving
- Introduction to Modules, In-built Modules
- Creation of Modules, Project Random Module
09:15:59 - 15:57:26: Numpy and Data Manipulation
- Introduction to Numpy
- Installation of Jupyter Notebook
- Creation, Indexing, and Slicing of Numpy Arrays
- Mathematical Operations, Combining and Splitting Arrays
- Search, Sort, Filter Arrays, Aggregating Functions
- Statistical Functions in Arrays
12:01:26 - 13:45:36: Pandas for Data Analysis
- Introduction to Pandas
- Creation of Data Frames, Exploring Data
- Dealing with Duplicate values, Missing Data
- Column Transformation in Pandas, GroupBy
- Merge, Concatenate, Join in Pandas
- Pivoting and Melting Dataframes
13:43:51 - 15:57:26: Matplotlib for Data Visualization
- Introduction to Matplotlib
- Bar, Line, Scatter, Pie, Box, Histogram, Violin, Stem plots
- Stack Plot, Step Chart, Legends, Subplot
- Save a Chart Using Matplotlib
- Data Visualization in Seaborn
- Seaborn Project
18:38:09 - 21:02:52: MySQL for Data Analytics
- Introduction to MySQL
- Installation, Importing Data
- Select Query, Where Clause
- AND, OR, NOT Operators, Like Operator
- Order By, Limit, Between
- IN, NOT IN operator, String Functions
- Data Aggregation, Numeric Functions
- Date Functions, Case Operator
- Group By, Having Clause
- Joins, Set Operators, Subqueries, Views
- Stored Procedure, Window Functions
21:14:31 - 24:45:52: Excel for Data Analytics
- Introduction to MS Excel
- Basic Functions, Data Validation
- Data Connectors, Conditional Formatting
- Basics of Formatting, Sorting, Filtering Data
- Dealing with Null Values, Duplicate Values
- Trimming Whitespaces, Text Functions
- IF, AND, OR Functions, Date & Time Functions
- COUNTIF, SUMIF Functions, Xlookup
- Power Query, Cleaning and Transformation
- Creating a Dashboard in Excel, myExcel Project
25:38:35 - 29:09:56: Power BI Essentials
- Introduction to Power Bi
- Installation of Power Bi Desktop
- Data Connectors, Basic Transformations
- Format Tool, Pivoting, Unpivoting of data
- Adding Conditional Columns, Merge queries
- Data model, Relationship Management
- Introduction to DAX, Calculated Columns, Measures
- DAX Functions, Visualizations, Filters
- Creating Reports, Custom Visuals
- Designing for Phone vs Desktop Report Viewers
- Publishing Reports to Power BI Services
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-------------------------------------| Thanks |--------------------------
#dataanalysis #analyticscourse #dataanalytics #dataanalytics2024
![Data Analytics Career Roadmap [2024] - Skill, Future, Job Demand & Salary (All Your Doubts Cleared)](/img/n.gif)
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Financial modeling and valuation course pr video banye
Agr ye diya hua link me course hai to video me kya hai fir...video me full course nahi h kya?
Business analyst pe b ek esa video bana do 😅
Fees??
01:08:14 pe int ph_no and grade ke liye bhi int data type use nahi hua
1:55 What is data analytics?
14:35 Python installation on windows
17:21 Python IDE pycharm
32:00 Creating variables in python
39:20 Data-types and user input
49:40 Typecasting and subtypes
55:56 Problem Solving
1:10:00 Operator and Operands
1:11:53 Arithmetic Operators
1:17:01 Comparisional operators
1:20:54 Logical Operators
1:26:53 Assignment operators
1:30:32 Identity operators
1:33:03 Bitwise operators
1:44:00 Membership operators
1:46:07 Conditional Statements
2:09:03 Short hand if statement
2:15:35 Problem Solving
2:40:33 Introduction to loops and types
2:42:21 For loop
2:55:05 While loop
3:02:56 While True
3:07:33 Nested Loop
3:16:43 For loop with conditional Statement
3:22:06 Break and continue statement
3:27:36 Problem Solving
4:14:55 String manipulation
4:34:56 String functions
5:08:45 Slicing in strings
5:16:10 Problem Solving
6:01:19 Introduction to lists
6:05:32 Slicing Lists
6:12:29 List iteration
6:20:38 List functions
6:36:43 Problem Solving
Tuples, Dictionary and Sets in python
6:48:08 Introduction to Tuples
6:52:23 Slicing and iteration in Tuples
7:00:21 Conversion of Tuples and Tuple functions
7:04:41 Problem Solving
7:15:45 Introduction to Dictionaries
7:20:36 Iteration in Dictionaries
7:36:44 Problem Solving
7:45:12 Introductin to Sets
7:48:56 Sets Functions
8:07:21 Problem Solving
8:16:41 Introduction to Functions
8:22:14 Parameters and Arguments
8:28:47 Return statement and recursion in Functions
8:41:02 Lambda function
8:45:07 Local and Global variable
8:49:32 Problem Solving
9:14:55 Introduction to Modules
9:16:34 In-built Modules
9:36:00 Hotel booking cancellations using data analysis and excel // I dont know how its come?
Numpy and Data manipulation
10:28:47 Introduction to Numpy
10:40:49 Installation of Jupyter Notebook
10:47:30 Creation,indexing and slicing of numpy arrays
10:57:10 Attributes of array
10:59:13 Inspecting an arrays
11:05:55 Mathematical operations and Functional Arrays
11:13:11 Combining and splitting Arrays
11:21:44 Adding and Removing elements in the arrays
11:38:16 Aggregating functions in arrays
11:48:32 Statistical functions in arrays
12:02:10 Introduction to Pandas
12:08:22 Creation of Dataframes
12:16:30 Exploring Data in padas
12:25:12 Handling Duplicate Values
12:31:20 Working with missing data
12:43:54 Columns Transformation Part-1
12:53:07 Columns Transformation Part-2
12:59:02 Group By
13:06:56 Merge, Join and concatenate
13:18:22 Compare Dataframes
13:28:44 Pivoting and Melting Dataframes
18:39:17 Introduction to MySQL
18:47:39 Import CSV files and sample database
18:52:13 Select query
18:55:24 Where clause
19:00:11 And,OR and Not operator
19:07:32 Like operator
19:11:17 Order By
19:16:17 Limit
19:19:30 Between operator
19:23:19 In and not in operator
19:28:12 String Functions
19:38:00 Data Aggregation Numeric Functions
19:45:52 Date functions
19:52:31 Case operator
19:59:17 Group By
20:03:43 Having Clause
20:07:30 Join In (Inner,Left,Right,Cross)
20:20:18 Set operators
20:34:42 Views
20:40:48 Stored Procedure
20:53:41 Window Functions
21:04:54 Introduction to MS-Excel
21:15:19 Basic Functions of MS-Excel
21:19:52 Data validation in MS-Excel
21:28:34 Data connectors
21:36:23 Conditional Formatting
21:44:35 Basics Formatting
21:49:29 Sorting Data
21:56:10 Filtering Data
22:02:28 Dealing with null values
22:11:51 Dealing with duplicates values
22:16:48 Trimming Whitespaces
22:20:58 Fixing Column Formats
22:27:08 Text Functions
22:37:44 If,And and Or functions
22:45:29 Date & Time functions
22:52:38 Countif, countifs, sumif, sumifs
22:59:50 Xlookup in excel
23:07:50 Power Query
23:15:56 Cleaning and Transformation
23:23:13 Dealing with text tools
23:30:01 Number tools
23:24:31 Date time tool
23:38:02 Conditional Columns
23:41:34 Combine multiple Files
23:46:37 Data modeling and its importance
24:02:01 Cardinality and filter Direction
24:07:51 Hierarchy in power pivot
24:12:06 Pivot table in ms-excel
24:19:15 Pivot charts
24:25:32 Working with slicers
24:30:21 Creating Buttons
24:40:57 Dashboard in MS-Excel
thank you gentleman!
very nice of you
@@ibhinderr Work in progress😊
@@ibhinderrWork in progress☺
God
😊 tnq my dear friend
Saving for myself for reference
1:55 What is data analytics?
14:35 Python installation on windows
17:21 Python IDE pycharm
32:00 Creating variables in python
39:20 Data-types and user input
49:40 Typecasting and subtypes
55:56 Problem Solving
1:10:00 Operator and Operands
1:11:53 Arithmetic Operators
1:17:01 Comparisional operators
1:20:54 Logical Operators
1:26:53 Assignment operators
1:30:32 Identity operators
1:33:03 Bitwise operators
1:44:00 Membership operators
1:46:07 Conditional Statements
2:09:03 Short hand if statement
2:15:35 Problem Solving
2:40:33 Introduction to loops and types
2:42:21 For loop
2:55:05 While loop
3:02:56 While True
3:07:33 Nested Loop
3:16:43 For loop with conditional Statement
3:22:06 Break and continue statement
3:27:36 Problem Solving
4:14:55 String manipulation
4:34:56 String functions
5:08:45 Slicing in strings
5:16:10 Problem Solving
6:01:19 Introduction to lists
6:05:32 Slicing Lists
6:12:29 List iteration
6:20:38 List functions
6:36:43 Problem Solving
Tuples, Dictionary and Sets in python
6:48:08 Introduction to Tuples
6:52:23 Slicing and iteration in Tuples
7:00:21 Conversion of Tuples and Tuple functions
7:04:41 Problem Solving
7:15:45 Introduction to Dictionaries
7:20:36 Iteration in Dictionaries
7:36:44 Problem Solving
7:45:12 Introductin to Sets
7:48:56 Sets Functions
8:07:21 Problem Solving
FUNCTIONS
8:16:41 Introduction to Functions
8:22:14 Parameters and Arguments
8:28:47 Return statement and recursion in Functions
8:41:02 Lambda function
8:45:07 Local and Global variable
8:49:32 Problem Solving
9:14:55 Introduction to Modules
9:16:34 In-built Modules
9:36:00 Hotel booking cancellations using data analysis and excel // I dont know how its come?
NUMPY
Numpy and Data manipulation
10:28:47 Introduction to Numpy
10:40:49 Installation of Jupyter Notebook
10:47:30 Creation,indexing and slicing of numpy arrays
10:57:10 Attributes of array
10:59:13 Inspecting an arrays
11:05:55 Mathematical operations and Functional Arrays
11:13:11 Combining and splitting Arrays
11:21:44 Adding and Removing elements in the arrays
11:38:16 Aggregating functions in arrays
11:48:32 Statistical functions in arrays
PANDA
12:02:10 Introduction to Pandas
12:08:22 Creation of Dataframes
12:16:30 Exploring Data in padas
12:25:12 Handling Duplicate Values
12:31:20 Working with missing data
12:43:54 Columns Transformation Part-1
12:53:07 Columns Transformation Part-2
12:59:02 Group By
13:06:56 Merge, Join and concatenate
13:18:22 Compare Dataframes
13:28:44 Pivoting and Melting Dataframes
MATPLOTLIB
13:41:24 : Introduction to Matplotlib
13:44:47: Bar Plot
13:57:27: Line Plot
14:09:58: Scatter Plot
14:21:14: PIE Chart
14:33:23: Box Plot
14:55:39: Histogram Plot
15:01:38: Violin Plot
15:07:32: Stem Plot
15:15:50: Stack Plot
15:27:31: Step Chart
15:35:42: Working with legends
15:45:02: SubPlot
15:52:26: Save Chart using Matplotlib
15:58:26: into to seaborn
Starting with a review of why Seaborn complements Matplotlib.
Exploring several types of plots and how Seaborn simplifies the process.
15:50:01 - 15:57:26: Seaborn Project
Practical implementation of Seaborn skills in a project-based example.
Concluding with best practices and tips for effective data visualization using Seaborn.
SQL
18:39:17 Introduction to MySQL
18:47:39 Import CSV files and sample database
18:52:13 Select query
18:55:24 Where clause
19:00:11 And,OR and Not operator
19:07:32 Like operator
19:11:17 Order By
19:16:17 Limit
19:19:30 Between operator
19:23:19 In and not in operator
19:28:12 String Functions
19:38:00 Data Aggregation Numeric Functions
19:45:52 Date functions
19:52:31 Case operator
19:59:17 Group By
20:03:43 Having Clause
20:07:30 Join In (Inner,Left,Right,Cross)
20:20:18 Set operators
20:34:42 Views
20:40:48 Stored Procedure
20:53:41 Window Functions
EXCEL
21:04:54 Introduction to MS-Excel
21:15:19 Basic Functions of MS-Excel
21:19:52 Data validation in MS-Excel
21:28:34 Data connectors
21:36:23 Conditional Formatting
21:44:35 Basics Formatting
21:49:29 Sorting Data
21:56:10 Filtering Data
22:02:28 Dealing with null values
22:11:51 Dealing with duplicates values
22:16:48 Trimming Whitespaces
22:20:58 Fixing Column Formats
22:27:08 Text Functions
22:37:44 If,And and Or functions
22:45:29 Date & Time functions
22:52:38 Countif, countifs, sumif, sumifs
22:59:50 Xlookup in excel
23:07:50 Power Query
23:15:56 Cleaning and Transformation
23:23:13 Dealing with text tools
23:30:01 Number tools
23:24:31 Date time tool
23:38:02 Conditional Columns
23:41:34 Combine multiple Files
23:46:37 Data modeling and its importance
24:02:01 Cardinality and filter Direction
24:07:51 Hierarchy in power pivot
24:12:06 Pivot table in ms-excel
24:19:15 Pivot charts
24:25:32 Working with slicers
24:30:21 Creating Buttons
24:40:57 Dashboard in MS-Excel
For self reference Power BI course:
25:40:42 Power BI
25:43:37 Installation of desktop
25:49:36 Text Functions Using DAX
25:58:33 Format Tool
26:04:41 Dealing with Text tools
26:12:20 Dealing with Numerical tools
26:19:08 Creating a table using Power BI
26:22:46 Dealing with Date & Time
26:29:17 Pivoting and Unpivoting in Power BI
26:33:24 Adding Conditional columns
26:38:29 Merging & Appending Queries
26:49:55 Data modelling & its importance
26:55:26 Manage Data Relationship
27:04:11 Cardinality & Cross Filter Direction
27:12:18 Cross Filter Direction
27:15:15 Data Analysis Expressions (DAX)
27:17:57 Types of DAX expressions
27:19:32 Difference between Calculated column & Measure in DAX
27:27:01 Creation of Measures
27:31:02 Understanding DAX syntax
27:34:46 Functions DAX
27:38:14 Date & Time functions in DAX Power BI
27:45:40 Text Functions in DAX
27:54:03 Logical Functions using DAX
28:00:24 DAX operators
28:04:34 Introduction to Visuals in Power BI
28:10:40 Visualization charts
28:29:12 Exploring Matrix Visuals
28:35:07 Filtering data with Slicers
28:40:07 Number cards & Text cards
28:44:34 KPI visuals
28:47:58 Modifying colours in Charts & Visuals
28:53:38 Visualizing data with Maps
29:00:20 Bookmarks and Buttons
29:07:00 Custom Power BI visuals
29:09:28 Designing for phone Vs Desktop report viewers
29:11:50 Publishing reports to Power BI services
@asusrog09 Thank you 🙏🙏
Wow
Thanks ❤
Asli data analysis to tu ha bhi
1st day: 2 hr 40 mins. i hope, u get inspire too to finish this all!!. React like so that i get notified everyday.
Kya bhai khatam hua abhi tak?
Kha pahucha bhai
Hey you doing this course too?
@@BitPanda-do9hh better to learn from udemy
2 hr purh k hi yeh data anaylst bngaya tha, ambani ka kaam ab yehi dekh rha hai... Building k bahir se😂
Completed till 10:47:30 in 6th day.... give a like to remind me to continue this series❤
is it useful?
@@surbhisingla3363 Yes but there is major issues with this video,coz of editing, they have cut down some parts and skipped some parts and there are repeats of some part..i find it editing issues.
Ok thankyou so much
Please help me finish this course, 1 like = 1 reminder 😅
Watching?
@@mohibvideos yup
Did you finish?
Even I am starting today... 🤞 I too need motivation and remainder
Aja bhai comments kar dia dekh Lee 😂😂😅
Omg 29 hours 😮..... what a unbelievable effort by your team
Tum kyu thanks bol rhe ho?@@motivatigyan6417
program run nahi ho raha mere computer main.aap help kar sakta hai ?
@@alokmishra4640 you installed all libraries?
@@alokmishra4640 konsa program
@@alokmishra4640 🤣🤣
Eski bahot jada jarurat thi mai bata nahi sakta aapne un hazaro student pe kitna reham kiya hai jo bade city me aa ker kisi institute me afford nahi kar sakte hai thank you so much ws cube aapka channel 100 million subscribers ho bahot jald god will always with you all cause you help millions🙏
❤
Ha bhai muje bhi chahiye tha data analytics ka course milgya finally 🥳
❤
Mann ki baat chheen li, Bhaisahab aapne.
@@ROHITA707 😂😂
This channel is a blessing for middle class people who can't afford expensive courses ❤❤
program run nahi ho raha mere computer main.aap help kar sakta hai ?
@@alokmishra4640 kya mistakes aa rhi h
@@stories8490 how to get notes
bro plz tell full course ke notes kaha ,ilenge
Sir mujhe bhi kych puchna h aapse puch sakta hu@@stories8490
I will complete this course in 15 days. Let's complete this course together. Hit like and comment your completed hours.
1st day 1:52:43
2nd day 4:14:59
3rd day 5:02:22
4th day 6:05:23
5th day 6:33:33
6th day 7:31:27
7nth day 10:28:47
8th day 12:02:10
9nth day 18:39:17
10nth day 20:53:41
11nth day 24:00:00
12th day 1:05:12:21 ===> Completed
Tell me your experience after this you are now eligible to get job
@@Indiabestlofisongs Okay
@@NISHANTBIRLA-px8hphow's this course bro? Is it worth to study from this?
@@Pika21-vj4pk Yes, I think all the major topics are covered. In order to grasp all the concepts thoroughly, you need to practice more questions and you can watch more videos on similar topics for more clear understanding.
Practice file kahan se milenge
For self reference Power BI course:
25:40:42 Power BI
25:43:37 Installation of desktop
25:49:36 Text Functions Using DAX
25:58:33 Format Tool
26:04:41 Dealing with Text tools
26:12:20 Dealing with Numerical tools
26:19:08 Creating a table using Power BI
26:22:46 Dealing with Date & Time
26:29:17 Pivoting and Unpivoting in Power BI
26:33:24 Adding Conditional columns
26:38:29 Merging & Appending Queries 26:49:55 Data modelling & its importance
26:55:26 Manage Data Relationship
27:04:11 Cardinality & Cross Filter Direction
27:12:18 Cross Filter Direction
27:15:15 Data Analysis Expressions (DAX)
27:17:57 Types of DAX expressions
27:19:32 Difference between Calculated column & Measure in DAX
27:27:01 Creation of Measures
27:31:02 Understanding DAX syntax
27:34:46 Functions DAX
27:38:14 Date & Time functions in DAX Power BI
27:45:40 Text Functions in DAX
27:54:03 Logical Functions using DAX
28:00:24 DAX operators
28:04:34 Introduction to Visuals in Power BI
28:10:40 Visualization charts
28:29:12 Exploring Matrix Visuals
28:35:07 Filtering data with Slicers
28:40:07 Number cards & Text cards
28:44:34 KPI visuals
28:47:58 Modifying colours in Charts & Visuals
28:53:38 Visualizing data with Maps
29:00:20 Bookmarks and Buttons
29:07:00 Custom Power BI visuals
29:09:28 Designing for phone Vs Desktop report viewers
29:11:50 Publishing reports to Power BI services
thanks this was helpful
@@estheratainyang8286 can you tell me which data source for Data used in Power BI?
Mai excel or power bi sikhna chahta hu pehle
Kya a nahi ho sakta ?
Python k bina power bi sikh sakte hai?
13:41:24 : Introduction to Matplotlib
13:44:47: Bar Plot
13:57:27: Line Plot
14:09:58: Scatter Plot
14:21:14: PIE Chart
14:33:23: Box Plot
14:55:39: Histogram Plot
15:01:38: Violin Plot
15:07:32: Stem Plot
15:15:50: Stack Plot
15:27:31: Step Chart
15:35:42: Working with legends
15:45:02: SubPlot
15:52:26: Save Chart using Matplotlib
15:58:26: into to seaborn
13:43:51 - 13:47:00: Introduction to Matplotlib
13:47:01 - 13:52:10: Bar, Line, Scatter, Pie, Box, Histogram, Violin, Stem plots
13:52:11 - 13:56:20: Stack Plot, Step Chart, Legends, Subplot
13:56:21 - 14:00:00: Save a Chart Using Matplotlib
14:00:01 - 15:50:00: Data Visualization in Seaborn
Starting with a review of why Seaborn complements Matplotlib.
Exploring several types of plots and how Seaborn simplifies the process.
15:50:01 - 15:57:26: Seaborn Project
Practical implementation of Seaborn skills in a project-based example.
Concluding with best practices and tips for effective data visualization using Seaborn.
Wrongggg....
Bro 🎉🎉🎉🎉🎉🎉🎉🎉❤❤❤❤❤❤❤❤❤❤❤
No words to commend the hard work of wscube tech teams ..... Tons of salute from all students like me ❤
Ofcourse hats off ❤❤❤
i can't believe that i am learning python basics even this much easier. all thanks to you guys.
29 hours of most informative time I have spent watching videos. Great job.
how did u spend 29 hours when 24 hours has also not passed this video being released
😂😂@@triumph_69
@@triumph_69😢
you can always speed up :) I usually play it in 2 or 2.5
@@triumph_69
this is the question come to my mind dude🤣@@triumph_69
From the non IT background hoping to become a data analyst one day🤞
Heyyyy I am a Junior data analyst now I got my offer letterr Today.Thankyou sooo muchhh...
Salary bro ❓
Hey, how ? What abt the salary ? How you got it ? Can you say plx
Congratulations! Did you learn all the skills needed from this course?
How did u get?
This course helped u?
5:28:35
num = input("Enter a text : ")
if num == num[::-1]:
print("its palindrome")
else:
print("its not palindrome")
A easy way of finding whether a number is palindrone or not. By the way thank u mam for providing such valuable content.😇😇😇
Ha bhai 1 percent Maine bhi yahi socha Tha pehle pr aaise input lenge to wo string hoga or hamko int ka digits ka reverse karna hai
print("its palindrome") if str(num) == str(num)[::-1] else print("its not palindrome")
Just in 1 line.... thnkeww soo much
@@glinchrefreshing60🎉
25:40:42 Power BI
25:43:37 Installation of desktop
25:49:36 Text Functions Using DAX
25:58:33 Format Tool
26:04:41 Dealing with Text tools
26:12:20 Dealing with Numerical tools
26:19:08 Creating a table using Power BI
26:22:46 Dealing with Date & Time
26:29:17 Pivoting and Unpivoting in Power BI
26:33:24 Adding Conditional columns
26:38:29 Merging & Appending Queries
26:49:55 Data modelling & its importance
26:55:26 Manage Data Relationship
27:04:11 Cardinality & Cross Filter Direction
27:12:18 Cross Filter Direction
27:15:15 Data Analysis Expressions (DAX)
27:17:57 Types of DAX expressions
27:19:32 Difference between Calculated column & Measure in DAX
27:27:01 Creation of Measures
27:31:02 Understanding DAX syntax
27:34:46 Functions DAX
27:38:14 Date & Time functions in DAX Power BI
27:45:40 Text Functions in DAX
27:54:03 Logical Functions using DAX
28:00:24 DAX operators
28:04:34 Introduction to Visuals in Power BI
28:10:40 Visualization charts
28:29:12 Exploring Matrix Visuals
28:35:07 Filtering data with Slicers
28:40:07 Number cards & Text cards
28:44:34 KPI visuals
28:47:58 Modifying colours in Charts & Visuals
28:53:38 Visualizing data with Maps
29:00:20 Bookmarks and Buttons
29:07:00 Custom Power BI visuals
29:09:28 Designing for phone Vs Desktop report viewers
29:11:50 Publishing reports to Power BI services
Credits: @nam9555
1:55 What is data analytics?
14:35 Python installation on windows
17:21 Python IDE pycharm
32:00 Creating variables in python
39:20 Data-types and user input
49:40 Typecasting and subtypes
55:56 Problem Solving
1:10:00 Operator and Operands
1:11:53 Arithmetic Operators
1:17:01 Comparisional operators
1:20:54 Logical Operators
1:26:53 Assignment operators
1:30:32 Identity operators
1:33:03 Bitwise operators
1:44:00 Membership operators
1:46:07 Conditional Statements
2:09:03 Short hand if statement
2:15:35 Problem Solving
2:40:33 Introduction to loops and types
2:42:21 For loop
2:55:05 While loop
3:02:56 While True
3:07:33 Nested Loop
3:16:43 For loop with conditional Statement
3:22:06 Break and continue statement
3:27:36 Problem Solving
4:14:55 String manipulation
4:34:56 String functions
5:08:45 Slicing in strings
5:16:10 Problem Solving
6:01:19 Introduction to lists
6:05:32 Slicing Lists
6:12:29 List iteration
6:20:38 List functions
6:36:43 Problem Solving
Tuples, Dictionary and Sets in python
6:48:08 Introduction to Tuples
6:52:23 Slicing and iteration in Tuples
7:00:21 Conversion of Tuples and Tuple functions
7:04:41 Problem Solving
7:15:45 Introduction to Dictionaries
7:20:36 Iteration in Dictionaries
7:36:44 Problem Solving
7:45:12 Introductin to Sets
7:48:56 Sets Functions
8:07:21 Problem Solving
8:16:41 Introduction to Functions
8:22:14 Parameters and Arguments
8:28:47 Return statement and recursion in Functions
8:41:02 Lambda function
8:45:07 Local and Global variable
8:49:32 Problem Solving
9:14:55 Introduction to Modules
9:16:34 In-built Modules
9:36:00 Hotel booking cancellations using data analysis and excel // I dont know how its come?
Numpy and Data manipulation
10:28:47 Introduction to Numpy
10:40:49 Installation of Jupyter Notebook
10:47:30 Creation,indexing and slicing of numpy arrays
10:57:10 Attributes of array
10:59:13 Inspecting an arrays
11:05:55 Mathematical operations and Functional Arrays
11:13:11 Combining and splitting Arrays
11:21:44 Adding and Removing elements in the arrays
11:38:16 Aggregating functions in arrays
11:48:32 Statistical functions in arrays
12:02:10 Introduction to Pandas
12:08:22 Creation of Dataframes
12:16:30 Exploring Data in padas
12:25:12 Handling Duplicate Values
12:31:20 Working with missing data
12:43:54 Columns Transformation Part-1
12:53:07 Columns Transformation Part-2
12:59:02 Group By
13:06:56 Merge, Join and concatenate
13:18:22 Compare Dataframes
13:28:44 Pivoting and Melting Dataframes
18:39:17 Introduction to MySQL
18:47:39 Import CSV files and sample database
18:52:13 Select query
18:55:24 Where clause
19:00:11 And,OR and Not operator
19:07:32 Like operator
19:11:17 Order By
19:16:17 Limit
19:19:30 Between operator
19:23:19 In and not in operator
19:28:12 String Functions
19:38:00 Data Aggregation Numeric Functions
19:45:52 Date functions
19:52:31 Case operator
19:59:17 Group By
20:03:43 Having Clause
20:07:30 Join In (Inner,Left,Right,Cross)
20:20:18 Set operators
20:34:42 Views
20:40:48 Stored Procedure
20:53:41 Window Functions
21:04:54 Introduction to MS-Excel
21:15:19 Basic Functions of MS-Excel
21:19:52 Data validation in MS-Excel
21:28:34 Data connectors
21:36:23 Conditional Formatting
21:44:35 Basics Formatting
21:49:29 Sorting Data
21:56:10 Filtering Data
22:02:28 Dealing with null values
22:11:51 Dealing with duplicates values
22:16:48 Trimming Whitespaces
22:20:58 Fixing Column Formats
22:27:08 Text Functions
22:37:44 If,And and Or functions
22:45:29 Date & Time functions
22:52:38 Countif, countifs, sumif, sumifs
22:59:50 Xlookup in excel
23:07:50 Power Query
23:15:56 Cleaning and Transformation
23:23:13 Dealing with text tools
23:30:01 Number tools
23:24:31 Date time tool
23:38:02 Conditional Columns
23:41:34 Combine multiple Files
23:46:37 Data modeling and its importance
24:02:01 Cardinality and filter Direction
24:07:51 Hierarchy in power pivot
24:12:06 Pivot table in ms-excel
24:19:15 Pivot charts
24:25:32 Working with slicers
24:30:21 Creating Buttons
24:40:57 Dashboard in MS-Excel
❤
Please please like this to give me motivation to complete this😢
First of all it is very useful video to those who really want to learn. i am really appreciating your efforts for making this video. I would like to inform one more thing which i have observed while learning. In Tuples, Dictionary, Sets section there is an clumsiness of video editing, if you check one more time there is misplacing of problem solving part of dictionaries which is placed after tuples and there is no problem solving of tuples. And also in dictionaries regarding dictionary part 2 there is an explanation video missing regarding the functions but mentioned in the pycharm. after that Nested dictionaried started. Please check and added it once which helps more. Thank you anyways.😍
Awesome! Structured, long hours, very detailed and lot of patience. Amazing!
program run nahi ho raha mere computer main.aap
help kar sakta hai ?
@@alokmishra4640 kya issue dikha raha hai
bro plz tell full course ke notes kaha ,ilenge
I am really grateful to you. The timing of this uploaded video is completely co-incidental. Just when I was trying to search this topic , I came across this video. It is of immense help . Thank You So Much WsCube Tech. The teaching is so lucid and easy to understand covering all the basics. Thanks a ton.
Course is good but in real world, DA role requirements are more prioritized about MS Office Suite (Excel & Power Query should be good), Power BI (or Tableau), Cognos, .. and SQL is absolute must (should be good if not strong). These are the very foundations.
If you are using Microsoft tools on your device, then go for PowerBI as it is also offered by MS. Suggesting so because usually organizations try to license tools from a single vendor. So if you are good in MS suite of products, your skills are more desirable.
Python programming comes a lot later although no harm in going that path. Requirement currently is bit more for non-python skills.
@@echodelta7680very true
Same thing happened with me 🙂
@@echodelta7680 can u suggest any course paid/unpaid any to learn all required knowledge and get into an entry level job.🥲
Same here as well
This video and its practical embedded content made me take the first step towards the Data Analytics journey without having any tech. background.
4th day of my regular watch and learning with the practice.
Loads of wishes! to the team and instructor.
Last but not the least comments' section is the cherry on top for the viewers. Especially the one comment with the timestamps of all the topics covered.
Thanks indeed!
hows it going ?? should i start or not?
@@duaahmad1823 no doubt about it, take a first step be consistent, keep the learning practical by play then pause for practice.
Best wishes !
did you completed your full course if you did please tell how much time did you took to complete it ?
Hii bro my situation is same as you what is your next step to after complete this course please tell me so I put my next step after complete this course
Hands off madam
Plzzz don't remove this video
This video very helpful to us
Iam proud of you madam
Because iam so afraid how to learn this course without money
Because my family suffering for money,in this time you help me alot
Thank you thank you soo much madam
And finally i request you please don't remove this video
Same thing happening with me
Don't remove this video from youtube, this will be helpful for lot of us,
And tq very much
Download karke rakhlo
Booo....
Like this video it reminds you to complete these course , remember liked videos are in separate in offline line list ...
00:11 Data Analytics tools and techniques overview
3:05:04 Introduction to Data Analytics
8:28:52 This part covers data visualization tools
12:32:43 Data Analytics FULL Course for Beginners to Pro
16:18:41 Introduction to Data Analytics Basics
17:44:56 Data Analytics full course for beginners to pros
21:04:58 Understanding data analytics steps and tools
25:58:34 Understand the basics of data analytics
29 hrs is not a joke .
Well taught maam
Its not in one go dude..
You people are doing something very very helpful to the common people who wants to learn... Hats off to your efforts
unbelievable effort to combine so many videos into one video ... Respect your efforts for sure ... Being a youtuber who creates content related to Data Analytics , I know how much effort goes into creating content like this and merging them into one video . I will be learning from your channel as well as few fantastic youtube channels ... overall this is such a great youtube channel ... please keep going and I pray that you cross 20 million subscribers and much more
vowels = "aeiouAEIOU";
vowel=input("Enter a vowel")
if vowel in vowels:
print("vowel")
else:
print("not vowels")
after 7 hours, content is not arranged and some parts are skip. please check it and fix it .
1. after tuples
2. Dictionary function part 2
bro, have you completed this 29 hr long vid?
Thank you so much for yiur selfless supporting course. Many will be blessed and thank you. 🎉
Explanation is simple and to the point. Thank you for making it free!
05:34:36 For Palindrome number, can we use the below code-
num = input("Enter number to check palindrome : ")
if num == num[::-1]:
print(num," is Palindrome")
else:
print(num," is not Palindrome")
Insistute or university Jane se axa h ghr baithe pdo kitna axay se smjha re h❤❤❤
Mam thank you so much itani khusi Jo words main vyaqt nahi ki ja sakti ❤
thank you
problem solving sections are the very helpful
smooth explanation
One of the best video ✨...Thank you so much mam & wscube tech..
Day 1 - 38:27 Rules of writing variables
Day 2 - 01:11:46 starting of types of operators
aage bhi krr bhai
what happen now
Fussss
Did you complete it?
Started this course on today 14 sep.
how its going ???
Amazing! Managed, long hours, very detailed and very helpful🎉Thanks !!
bro plz tell full course ke notes kaha ,ilenge
Thank you somach wscub tech aap ke TH-cam subscribe bahut jyada ho jaay jiski limit na ho thanks you somach
Thank you very much much team for the amazing work you are doing.Please keep the awesome work. If you can put a complete machine learning course video as well , it will be very helpful
Have you watched the whole video?
Maine inka ms Excel. Or power bi kiya hai.. Bahut acha explain kiya hai... Thank u so much
Day 1: Introduction and Python Basics
00:00:00 - 02:15:26
Introduction to Python for Data Analytics
Python Installation in Windows
Python IDE (PyCharm)
First Program in Python
Comments, Variables, Datatypes, User Inputs
Type Casting, Subtypes, Problem-Solving
Operators and Operands
Conditional Statements
Day 2: Python Basics (Continued)
02:15:26 - 02:40:22
Continue with any remaining Python Basics content if needed.
Day 3: Loops in Python
02:40:22 - 04:00:00
Introduction to Loops
For Loop, While Loop, Nested Loops
For Loop with Conditional Statements
Break and Continue Statement
Day 4: Loops and Lists (Part 1)
04:00:00 - 05:30:00
Loops Problem Solving
Introduction to Lists
Lists Slicing, Iteration, Functions
Day 5: Loops and Lists (Part 2)
05:30:00 - 06:36:18
List Comprehension
Problem Solving
Day 6: Tuples and Dictionaries
06:47:43 - 07:36:16
Introduction to Tuples
Tuples Slicing, Iteration, Functions, Problem Solving
Introduction to Dictionaries
Iteration, Functions, Nested Dictionaries, Problem Solving
Day 7: Sets and Summary of Data Structures
07:36:16 - 08:16:10
Introduction to Sets
Set Methods, Problem Solving
Review of Tuples, Dictionaries, and Sets
Day 8: Functions in Python
08:16:10 - 09:14:20
Introduction to Functions
Parameters, Arguments, Return Statement, Recursion
Lambda Function, Local and Global Variables
Functions Problem Solving
Day 9: Python Modules
09:15:59 - 10:00:00
Introduction to Modules
In-built Modules
Creation of Modules
Project Random Module
Day 10: Introduction to Numpy
10:00:00 - 11:30:00
Introduction to Numpy
Installation of Jupyter Notebook
Creation, Indexing, and Slicing of Numpy Arrays
Day 11: Numpy Arrays and Operations
11:30:00 - 12:30:00
Mathematical Operations, Combining and Splitting Arrays
Search, Sort, Filter Arrays
Aggregating Functions
Statistical Functions in Arrays
Day 12: Introduction to Pandas
12:30:00 - 13:45:36
Introduction to Pandas
Creation of Data Frames, Exploring Data
Dealing with Duplicate Values, Missing Data
Day 13: Data Manipulation with Pandas
13:45:36 - 15:00:00
Column Transformation in Pandas, GroupBy
Merge, Concatenate, Join in Pandas
Day 14: Advanced Pandas
15:00:00 - 16:00:00
Pivoting and Melting Dataframes
Review and Practice Exercises
Day 15: Introduction to Matplotlib
16:00:00 - 17:30:00
Introduction to Matplotlib
Bar, Line, Scatter, Pie, Box, Histogram, Violin, Stem plots
Day 16: Matplotlib (Continued)
17:30:00 - 18:30:00
Stack Plot, Step Chart, Legends, Subplot
Save a Chart Using Matplotlib
Data Visualization in Seaborn
Day 17: Seaborn for Data Visualization
18:30:00 - 19:30:00
Seaborn Project
Review and Practice Exercises
Day 18: Introduction to MySQL
19:30:00 - 21:00:00
Introduction to MySQL
Installation, Importing Data
Select Query, Where Clause
AND, OR, NOT Operators, Like Operator
Day 19: MySQL Queries and Functions
21:00:00 - 22:30:00
Order By, Limit, Between
IN, NOT IN Operator, String Functions
Data Aggregation, Numeric Functions
Day 20: Advanced MySQL
22:30:00 - 23:30:00
Date Functions, Case Operator
Group By, Having Clause
Joins, Set Operators, Subqueries, Views
Stored Procedure, Window Functions
Day 21: Introduction to Excel
23:30:00 - 25:00:00
Introduction to MS Excel
Basic Functions, Data Validation
Data Connectors, Conditional Formatting
Basics of Formatting, Sorting, Filtering Data
Day 22: Excel Data Management
25:00:00 - 26:30:00
Dealing with Null Values, Duplicate Values
Trimming Whitespaces, Text Functions
IF, AND, OR Functions, Date & Time Functions
COUNTIF, SUMIF Functions, Xlookup
Day 23: Power BI Essentials (Part 1)
26:30:00 - 27:45:00
Introduction to Power BI
Installation of Power BI Desktop
Data Connectors, Basic Transformations
Day 24: Power BI Essentials (Part 2)
27:45:00 - 29:00:00
Format Tool, Pivoting, Unpivoting of Data
Adding Conditional Columns, Merge Queries
Data Model, Relationship Management
Introduction to DAX, Calculated Columns, Measures
Day 25: Power BI Visualization and Final Project
29:00:00 - 30:30:00
DAX Functions, Visualizations, Filters
Creating Reports, Custom Visuals
Designing for Phone vs Desktop Report Viewers
Publishing Reports to Power BI Services
Final Review and Summary of All Topics
This is awesome.....I was comparing from apna college but your way of explaining is very familiar...thanks a ton
Hi bhaiya
Centre for quantative analysis and data science mujhe bit meshra me mil rha hai (par mujhe iske bareme kuch nahi pata ) can you explain please !
2024 is going to be my best year🤞🏻⏳
Mera bhi
@@ashwaniratan8165aap konsi filed me job karte the ???? Abhi milgaya job firse ?
@@ashwaniratan8165 wife kese bhag gyi 🧐
No words to say thanks.
Just respect and love
Perfect & Clear Explanation. Thank you very much.
Hey guys, I usually don't comment on videos, but seeing the hard work you guys put in is amazing. You are saviors for people who can't afford the course fee. I will keep you guys in my prayers. In today's selfish world, there are still some people who work towards helping others.
You taught-tuple and its conversions and functions but in next part at 7:04:43 you start json conversion which you not taught in class. Please clear this doubt.
Yes
A thank you might be very little. I just don't know how to really thank you. This is the best one-video course that is available on TH-cam. A must have video to watch out for all DS students.
Can you tell me please that I would be able to say me a data analyst after watching this video and could get job?
@@AsifJabbi-cj6tr If you can learn all the tools mentioned in this video and make project along with practising. Yes, then you are eligible to apply for data analyst jobs. And if you get a job with such role in any company, then you can call yourself a professional data analyst.
@@mrpaul017Is there jobs for freshers? I'm recent bca 2024 pass out & only now starting this course, so will I be able to get job after 3months (if learn all these in video in 3months?)
@@trusfratedbunny2215 you can hope for it because if you completed this course and learned necessary skills, you should have to have patience and need to apply for jobs regularly. Because there are lakhs of applicants in every job postings.
Watching from Pakistan. Thanks a lot for your efforts
Kam khatam hone ke baad firse india ko gali maat Dene lagna 😂
Help me to complete this course as soon as possible, every time I get a like , I'll continue watching this course from where I left....
Congratulations madam for your free classes through this you tube Thank you YOU TUBE CHANNEL
Thanks for helping others....keep up the good work 🙏🏻🙏🏻
No doubt this channel is very perfect everyone who can't afford institutions fee and don't take online or physical classes Every video of yours is very amazing and contains a lot of information and knowledge. May God give progress to your team, your channel My God Bless You From Pakistan
Iims providing free course
So many other universities also provide lol
"Thank you so much for such a perfect video! The exclamation marks convey my excitement and gratitude for the great work you have done."
She deserves a medal, the way she keeps revising the lessons .. ma'am you are gem ... thank you for all the effort.. I am a non IT guy, with this Introduction and only been reviewing your calls for 2 hours I have a good understanding of this and its functioning .. thank you❤
2:55:10 Reminder for my self!
Second day to start
I am switching my field from civil engineering to data analysis I was searching for how to switch and then finally I got my answer.
Thank you so much may god bless you with happiness. I will remember you in my prayers.
Site engineer ho ya designing line mein ho bhai ???
Fact is civil engineering site job sucks...12-12 hrs/day ka kaam without single holiday in a week...and salary toh pucho hi maat..
Site jobs ka bhot bhot bhot bura haal hai..
@@Jatinsharma_20same problem bhai 12hours works no extra time payment no extra day payment
Is it enough to get a job?
@@Mayankup194 no
@@anshhaya4702what should one do more?, I've just bca degree?
1. 23:00 = Print Statement
2. 25:26 = Multiple lines in print statement
3. 28:50 = Comments in python (single line and multiple line)
4. 32:28 = Creating Variables in python
5. 35:15 = 3 Rules for writing a variables
6. 39:38 = Data-types and user-inputs (what kind of data is stored in variables i.e. Data types) evaluate(eval)
7. 50:10 = Typecasting(conversion of one datatype to another) and subtypes (7)
8. 56:08 = Problem Solving (8)
9. 1:10:28 = Operator(kya action perform hone wala hai) and operands(kinke upar hone wala hai)
10. 1:12:15 = Arithmetic operator (+,-,*,/,modulus%, exponentiation**(vo no. Jo power me deal karte hain),floor division// (9)
11. 1:17:30 = Comparison operators('')
12. 1:21:30 = Logical operators(and,or,not) (10)
13. 1:27:14 = Assignment operators ('=', '+=', '-=', '*=')
14. 1:30:50 = Identity operators, types of identity operator(types=is, is not) (11)
15. 1:33:22 = Bitwise operators(compare binary numbers) ('and&', 'or|', 'xor^' 'zero fill left shift>>', '
As a Pakistani salute to indians they are doing their best
Assalam Walekum 😂
A person who lives in the geographical area that is Pakistan automatically becomes Indian when he/she has respect and love for Bharatiyas instead of hatred and jealousy.
@@sidheart7447Pakistan ki taraf say Agar koi appreciate Karey to hazam Kar let's karo mager nahin....tumahrey jasey chootiya lazmi bakwas Karey gay.
Haa jarurat me toh india hi yaad aata tum Pakistani ko kam khatam hone par fir india ki burai chalu kar doge😂
We need this type of words from pakisthani. That is India ❤
Thank you mam..and wscubetech team... I was thinking join some offline computer course to learn Excel..but luckily i found this... thanks 🙏
Heads off mam as you have spent your ounce to teach those youths who can't afford to buy such course...
*Hats off
@@gdtotshared-jk4uo Bro no need to be teacher giri I am talking about head off not hat.
Thank you so much ...😊 I can't say how much u helped us ..
Bro is tutorials se kitna data sicinece seekh jaye gay hum?
@@hasni0079 isse tum data science nhi Sikh sakte qki ye data analyst ka course hai bro data science me kuchh aur chije required rahta hai
पूरे तहे दिल ❤ से आपका धन्यवाद 🙏🙏🙏
अपने ये सब करके हम पर बहुत एहसान किया है
I gave challenge myself I will completing this course with in 10 days.
Heyy sneha how many hrs watching this video...?
very easy to understand who wants to start their career in data analytics
Can you plz help if you are data analytics should i learn this course
Incredible work and appreciable work 🎉
Thanks a lot wscube tech team
Thank you so much ❤
Completed 💯
Thanks ws cube tech family for providing this course we appreciate your content.
4:16:15 tak kr chuka hu muje v reminder dena guy's
5:14:30
6:36:44 let's go guys
7:00:23
@@hi-im-sm bro mera suggest ye rahe ga abhi free ka resources se knowledge lo fir baad main paid le sakte ho but as beginner TH-cam main v bohut sare resource hai sare ko complete kro indepth fir agar lagtha certification ka jarurat hai then tum paid ja sakte ho and futher course ka notes bana lo taki practical main v easy ho and concepts v yad rahe ga
They deleted my comments suggested not to enroll there course
@@rohanseriez07 really
@@hi-im-sm yes because I mentioned that they will not directly place you to any company
time: 03:58:45 to find the index of "fit in" we can also use "print(str.index("fit in"))"
6:50 road map(python, libraries,sql,excel, power bi)
7:33 (20 projects)
8:47 what is paython
Really thank you soo much you explained very nicely and student like me want to make carrier in Data Analyst is really useful tutorial....!!!
Is this course is good for learning data analytics
Dropping comment on my first day, will comment till I complete this series.
Completed?
update?
Thanks for giving this wonderful course
Sister aap bilkul badi behen jaise padhate ho bohot achhe se sikhate ho ... Thank you sister
wow!! never seen a video with that much in depth knowledge and explanation such a top notch channel.
I am going to comment on this video, so that it serves as a reminder that I have started and will comment again after I finish the course.
Hey I started today! Did you find free Pycharm to install (the community version)?
Scroll down when you open link you will find community option
3 months later update?
Thank-you WS cube for providing this course without any cost
I really search data analytics course and you made this 😮 what a surprise 🎉 Thanx
Kya ap ne course complete kiya hai? If yes how's your experience please explain me
This course is good, I like it and I am practicing it with every topics but main topics are not covered in this python series, like classes and object, inheritance, iterators, decorators, polymorphism, scope, date math, try except, file handeling, read, write, create, delete files etc. 😢😢😢😢
Day 1(11/8)
4:21:00
Day 2(12/8)
5:08:47
Day 3(14/8)
6:48:08
Day 4(16/8)
7:45:18
Day 5(17/8)
10:49:00
Day 6(18/8)
12:25:15
Day 7(20/8)
18:39:23
Day 8(21/8)
21:14:05
Bro kya ye video sahi hai data analyst sikh ne ke liye kyunki me institute me apply karne ja Raha hu tumne ye pura dekha hai
@@hi-im-smthese are just the basics.we can just start with these videos and then try to do some projects before applying for jobs
Much needed. Thank you WsCube
RIP for them who are thinking 29 hours is enough...
Guys these are just basics... You need advance concepts & practice practice practice.
This video is good only for starting towards this career
True
Atleast we can learn basics of these topics. Base is most important.
Kaha milegaa pura data analystics course
@@harshyadav4692 issi ko kr le bro, eventually you'll have a firm base to built upon.
Help me complete this courses in 25 days...like to give me reminder
Day 1: 00:00:00 to 01:00:00
Day 2: 01:00:00 to 02:00:00
Day 3: 02:00:00 to 03:00:00
Day 4: 03:00:00 to 04:00:00
Day 5: 04:00:00 to 05:00:00
Day 6: 05:00:00 to 06:00:00
Day 7: 06:00:00 to 07:00:00
Day 8: 07:00:00 to 08:00:00
Day 9: 08:00:00 to 09:00:00
Day 10: 09:00:00 to 10:00:00
Day 11: 10:00:00 to 11:00:00
Day 12: 11:00:00 to 12:00:00
Day 13: 12:00:00 to 13:00:00
Day 14: 13:00:00 to 14:00:00
Day 15: 14:00:00 to 15:00:00
Day 16: 15:00:00 to 16:00:00
Day 17: 16:00:00 to 17:00:00
Day 18: 17:00:00 to 18:00:00
Day 19: 18:00:00 to 19:00:00
Day 20: 19:00:00 to 20:00:00
Day 21: 20:00:00 to 21:00:00
Day 22: 21:00:00 to 22:00:00
Day 23: 22:00:00 to 23:00:00
Day 24: 23:00:00 to 24:00:00
Day 25: 24:00:00
Day 26: 25:00:00
Day 27: 26:00:00
Day 28: 27:00:00
Day 29: 28:00:00
Day 30: 29:00:00
Idhar comment mei for loop lagya kya?
Basic se explanation
Very helpful ❤
Pls make a certificate system that someone watched your video should be given by a test and passed on given by certificate
credibility?
I am at 1 hr 33 minutes your like on this comment will help me to complete this video....
Hello brother can you tell please is python hear from scratch or we need to learn before ???? Basically is she teaching everything from 0 ya fir phele se pdhke aana chahiye ????
@@shedeepikaNo need to learn before only you need be focused and it's totally from scratch. Thank you!
Please don't delete this video let it remain forever I'm slow learner so i will be learning slowly
😊
its simplified alreaddy
Hi!
Dear Mam, you can also skip the dictionary functions that you start first then you can skip video. Kindly guide about these functions of dictionary. Thank You!
I will be forever grateful to you, you changed my whole life and I will continue to preach on your behalf for the whole world to hear you saved me from huge financial debt with just a small investment, thank you Deborah Davis.
I'm shocked that you just mentioned and recommended Deborah Davis. I thought I was the only one trading with her.
When someone is straight forward at what he or she does people will always speak for them.i know a couple of friends who makes profits in the financial market
Trading crypto now should be wise, but trading without an expert isn't advisable. I tried trading on my own but keep on losing.
Any specific guide. I'm from Georgia how do I go about this? I think I'm interested how can I get in touch with mrs Deborah Davis
Please how can I get her info
Started this course today (8 sep 2024)
2 din ho gaye
Me too I skipped after watching 4 hours to 8 hours because it's python going for more than 8 hours and all things seems repeatative👍🏻
@@AbhishekMogavira The data analyst job is itself repetitive
@@roshanhemrom4906 ohh do u have pdf of this?
Kha se start kiye apne
Thank you so much mam and ur entire team for sharing and teaching all these technical courses for free without any price ❤❤❤❤❤ I hope you'll be always succeed in every work ❤❤❤❤❤