Python for Data Science for Beginners 2023 | Beginner to Advance | Part-1 | Python with Projects

Hi Students, @industrieshelpinghands brings to you 30 hours Master Class in Python Programming for DATA SCIENCE, in which we will teach Python from Basic to Advance Level. We will also discuss END TO END PROJECT in Python, which will help you build a Strong Portfolio.
This 30 hours LIVE Master Class will gives you a better opportunities to learn and implement new things in #pythonprogramming which makes you industry-ready and grab a good salary package as a fresher’s in Data Science or Data Analyst and also help to switch to higher salary packages if you have experience.

🔥 Fill Form to attend the Workshop in which Different Projects of Data Analytics will be discussed- https://tinyurl.com/DataAnalyticsReg
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✳️ For Notes & Study Material of 30 hours Python for Data Science. Kindly Install our Android App- https://play.google.com/store/apps/details?id=com.logixhunt.ihhpet&pli=1
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💥 Detailed Syllabus of Python 30 Days Master Class- https://drive.google.com/file/d/1RcfsKH1E63e9W1J6LkE6MMCt4qtoNqEQ/view?usp=share_link
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Timestamps :
00:00 – 4:32 : Introduction to Python for Data Science
Day-1
4:32 : Basic of Python Programming
20:19 – 31:17 : Algorithms, Flow chart and Pseudocode
31:17 – 35:16 : What is an IDE?
35:16 – 45:24 : What is Anaconda Navigator?
45:24 – 01:00:47 : Writing the First Python Program, and how to use the comment in a code.
01:00:47 – 01:07:41 : Installation of Jupyter Notebook & Python- Anaconda
Day-2
01:07:41 – 01:14:00: Variables & Operators in Python
01:14:00 – 01:32:43 : What are variables? How to name Variables in Python and how to create multiple variables?
01:32:43 – 01:45:00 : Data types in Python
01:45:00- 02:08:05 : What are Arithmetic, Logical, Boolean & Comparison Operator?
Day-3
02:08:05 – 02:11:00 : In-Built Functions of Python
02:11:00 – 02:13:46 : Types of Functions in Python
02:13:46 – 02:20:40: Why do we need Python functions?
02:20:40 – 02:24:18 : abs() function
02:24:18 – 02:42:31 : Bin(), complex(), python bytes function, char() function
02:42:31 – 03:09:45 : float(), int(), str(),help(),input() function
Day-4
03:09:45 – 03:15:21: Control Flow Statements of Python
03:15:21 – 03:23:14 : What is a control flow statement? & its types
03:23:14 – 03:43:00 : If statement with examples
03:43:00 – 03:48:58 : if-else statement with examples
03:48:58 – 04:12:02 – if-elif-else statement with examples
Day-5
04:12:02 : Concepts of Loops in Python
4:15:01 –4:20:43: what are in loops in Python?
4:21:22 – 4:33:46 : while loop along with examples
4:33:48 – 4:39:00 : Using else statement in the while loop
4:39:48 – 4:45:50 : For loop with examples
4:45:51 – 4:52:00 : Looping through a string
Day-6
05:16:22 : User-Defined Functions in Python
5:21:57 – 5:25:11 : What are user-defined functions in Python? & its advantages
5:25:11 – 6:09:00 : Creating & Calling user-defined functions with examples
Day-7
06:13:37 : Introduction to Strings in Python
6:16:30 – 6:21:00 :What are strings, and how to create it?
6:21:16 – 6:23:01 : Indexing in python
6:35:17 – 6:44:52 : Slicing in python
6:44:53 – 6:48:03 : Finding the length of a string
6:48:04 – 6:58:08 : Upper(), lower(), replace() method
6:58:09 – 7:00:00 : find() method
Day-8
07:13:55 : Concept of List in Python
7:19:33 – 7:22:03 what are list in python?
7:22:04 – Creating a list in python, allow duplicates & data types
7:30:54 – 7:38:07 list length, access items
7:38:08 – 7:59:51 : Slicing of list, change items
7:59:51 – multiplying numbers in a list
Day-9
08:08:16 : Introduction to Tuples in Python
8:10:27 – 8:13:42 : What are tuples in python?
8:14:12 – 8:17:50 : Creating tuples in python, mixed datatypes, empty tuple
8:17:52 – 8:25:00 : Nested Tuples, Creating a tuple with one item
8:25:47 – 8:38:21 : Indexing & Slicing in tuple: Converting list into tuple
8:38:22 – 8:44:30 : loop in tuple
Day-10
08:55:55 : Concept of Dictionary in Python
8:56:05 : What is a dictionary?
Day-11
09:48:37 : Introduction to Sets in Python
10:52:15 : Stay tuned: Python for Data Science Part-2 | Thank You and Keep Coding!

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