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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

1st day: 2 hr 40 mins. i hope, u get inspire too to finish this all!!. React like so that i get notified everyday.

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.

This is my first message in KZfaq Super explanation near and clear understanding the concept what your r produce thanks you so much for the wonderful session 🙏

0:00 Instroduction 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 13:47:01 Bar, Line, Scatter, Pie, Box, Histogram, Violin, Stem plots 13:52:11 Stack Plot, Step Chart, Legends, Subplot 13:56:21 Save a Chart Using Matplotlib 14:00:01 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 Seaborn Project Practical implementation of Seaborn skills in a project-based example. Concluding with best practices and tips for effective data visualization using Seaborn. 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 so much for yiur selfless supporting course. Many will be blessed and thank you. 🎉

Omg 29 hours 😮..... what a unbelievable effort by your team

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🙏

Please help me finish this course, 1 like = 1 reminder 😅

One of the best video ✨...Thank you so much mam & wscube tech..

Incredible work and appreciable work 🎉 Thanks a lot wscube tech team Thank you so much ❤

i can't believe that i am learning python basics even this much easier. all thanks to you guys.

Thanks for helping others....keep up the good work 🙏🏻🙏🏻

This channel is a blessing for middle class people who can't afford expensive courses ❤❤

No words to commend the hard work of wscube tech teams ..... Tons of salute from all students like me ❤

thank you problem solving sections are the very helpful smooth explanation

Mam thank you so much itani khusi Jo words main vyaqt nahi ki ja sakti ❤

Much needed. Thank you WsCube

I'm so grateful🙏🏻Many thanks!😍

Awesome! Structured, long hours, very detailed and lot of patience. Amazing!

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

Thank you somach wscub tech aap ke KZfaq subscribe bahut jyada ho jaay jiski limit na ho thanks you somach

Amazing! Managed, long hours, very detailed and very helpful🎉Thanks !!

Super explanation near and clear understanding the concept what your r produce thanks you so much for the wonderful session 🙏Incredible work and appreciable work 🎉Thanks a lot wscube tech team Thank you so much ❤

Really thank you soo much you explained very nicely and student like me want to make carrier in Data Analyst is really useful tutorial....!!!

Thanks ws cube tech family for providing this course we appreciate your content.

No words to say thanks. Just respect and love

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

"Thank you so much for such a perfect video! The exclamation marks convey my excitement and gratitude for the great work you have done."

I am really grateful, thank you guys for such a great content.

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 KZfaq. A must have video to watch out for all DS students.

unbelievable masterpiece. a huge thanks

Thanks for giving this wonderful course

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.😇😇😇

very happy to have this for free of cost...verry helpfull!!💥

पूरे तहे दिल ❤ से आपका धन्यवाद 🙏🙏🙏 अपने ये सब करके हम पर बहुत एहसान किया है

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.😍

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.

Thank you so much wscube all team members ❤❤❤🎉🎉🎉

SIR, I LOVE YOUR HEAD WORKING TEACHING

Thank-you WS cube for providing this course without any cost

Your teaching capacity is very impressive. Salute Mam

Thankyou ma'am for this amazing content.☺️ You helped lots of students by providing this information

Purely amazing course ❤

Thank you for such learning content 😊😊

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 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

Thanku so much, I'm looking for this course for a long time.

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 ❤❤❤❤❤

THANKS FROM THE BOUTOM OF THE HEART ❤️

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!

Thnk you free and quality content you guys are providing, keep this spirit up ❤

Hats off wscubetech 👍👍

Yes this is what I need Thank you ❤❤

Awesome training!!!

Thank you so much ...😊 I can't say how much u helped us ..

This is awesome.....I was comparing from apna college but your way of explaining is very familiar...thanks a ton

Thank you mam, unbelievable! 👍

Perfect & Clear Explanation. Thank you very much.

I had completed 15 hours of this course till now and if you are a fresher and you want to learn python as well as data any than you can start here,no doubt it is very helpful lecture..

Watching from Pakistan. Thanks a lot for your efforts

Thank you guys for your efforts and hardworking ❤❤

Bahut achhi lagi ye video Ma'am aap bahut achhi padhati hai. ❤

Very very Thanks mam and wscube tech team you are doing very appreciative work for our society and for our nation. Many students who cant afford this courses can learn free. But can you beginner to advance level course on digital marketing for 2024

29 hours of most informative time I have spent watching videos. Great job.

Thank you so much ma'am...❤ What a great effort... I salute 🫡

Such a good thing wscubetech This channel is always helpful for me to solve my question ❤😊

THank you verY MUCH MAdam and WSCUBETECH .

I really search data analytics course and you made this 😮 what a surprise 🎉 Thanx

MashaAllah❤🎉🎉 Speechless efforts for us😮 Thank you is small word for this work Gratitude for it

Explanation is simple and to the point. Thank you for making it free!

Thanks for providing this course for free of cost

I genuinely learned so much from this video. Surprisingly, the depth of knowledge and clarity provided here surpasses what some high-priced courses offer. Kudos to the WsCube tech team for their dedication and hard work in putting together such valuable content.

Thank u so much for your hard works

Anyone can understand the every concepts what you teach . Thanks so much.Keep it up.

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

First time unbelievable class ,, Really i love this . Great 👍 team and mam 🙂

Great video... Thanks for this complete video.

Heads off mam as you have spent your ounce to teach those youths who can't afford to buy such course...

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

Muy ben aporte de conocimiento masivo. Quisiera aprender maas de ello y del mundo de ciencia de datos....felicidades

Don't remove this video from youtube, this will be helpful for lot of us, And tq very much

29 hrs is not a joke . Well taught maam

Thank you so much for your efforts ❤❤😊

The way of explanation is amazing 👍🏻the best course on KZfaq for data analysts 💯Thanks for such a great efforts ❣️🙏🏻🙏🏻

2024 is going to be my best year🤞🏻⏳

Thank you so much mam ❤❤❤ I am Java Developer in my company but they put me in python project. I looked several videos to learn data analytics but I can't get it finally I watched yours I got some what base knowledge when I watched yours ❤❤❤❤ Thank your so much for it ❤❤😍😍😍😭🥺🥺🙏🙏

Thousands of thanks 👍. Keep it up.

❤ thank you so much for this great effort ..🎉

Dropping comment on my first day, will comment till I complete this series.

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.

Excellent Knowledge and great video mam fabulous explanation very well explained ❤

Thank you so much for the course 💙

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

At 7.05 Problem solving is about JSON and Dictionary but the concept we have learn before this is "Tuple". This is a little video merging issue. I'm learning from this video and I really appreciate your work. Plz fix this issue if you can. That will be helpful for other too. Thank you

Thanks, we greatly appreciated your hard work👍

This is soo helpful for me thankuu for sharing this..

Hi wstech family can u pls gave us references for applying for internship regarding Data Analytics

As a Pakistani salute to indians they are doing their best

very easy to understand who wants to start their career in data analytics