Complete Crash Courses on Data Science, Python, ML, DL and Freelancing skills - Data Science with Python | Crash Course | DS-101 | اردو

#python_ka_chilla #dataScience #python Complete playlist is here: https://www.youtube.com/watch?v=KYl9zmSt-Ik&list=PL9XvIvvVL50HHzaLPtFBOuikAWa0JdhMW You can join Telegram group from here: https://t.me/+R_QuSxdyn344Zjg0 Chapters in the video 00:00:00 Installation of Python 00:02:49 Python from Command Line 00:03:31 Running Python from Python Software 00:04:00 Talking to Python 00:07:50 Notepad for Python 00:13:20 Installing an IDE (VS Code) 00:14:23 Basic Commands in CMD 00:18:17 Working in VS Code 00:19:52 Chapter 1: First Program 00:22:14 Chater - 2: Operators 00:33:03 Chapter - 3: Strings 00:38:48 Chapter - 4: Comments 00:43:40 Chapter - 5: Variables 00:57:12 Chapter - 6: Input Variables 01:07:33 Chapter - 7: Conditional Logic 01:19:13 Chapter - 8: Type Conversion 01:29:33 Chapter - 9: If, Else & Elif 01:40:43 Chapter - 10: Functions 01:57:16 Chapter - 11: loops 02:05:10 Chapter - 12: Import Libraries 02:09:52 Chapter -13: Trouble Shooting 02:13:59 Anaconda Installation 02:19:03 Jupyter Notebook First Start 02:29:54 First Program in Jupyter 02:36:53 Chapter 2 in Jupyter 02:39:42 Chapter 3 in Jupyter 02:41:09 Chapter 4 in Jupyter 02:45:30 Indexing 02:55:13 String Methods 03:01:18 Finding an Index Number in string 03:04:43 Basic Data Structures in Python - Tuples 03:16:18 Basic Data Structures - List 03:26:56 Dictionaries 03:39:15 Sets 03:45:15 Numpy (Numerical Python) 03:53:32 What is an Array? 04:11:16 Array Attributes 4:14:04 How to create an Array? 4:19:40 Array Creation (Hands-on) 4:36:00 Array Functions 4:39:39 2D Arrays 4:59:52 NumPy Documentation 5:00:43 Jupyter Notebook in VS Code 5:23:40 Pandas Library 5:27:53 Data Manipulation in PANDAS 5:38:59 Data Analysis in PANDAS 5:46:51 Types of Data Analysis 5:57:58 PANDAS vs MS Excel 6:02:07 PANDAS Exercise in VS Code 6:47:39 Import Save and Analyze Data using PANDAS (Kashti Case Study) 7:04:43 Basics of Statistics for Data Science 7:16:45 Types of Data 7:27:35 Measures of Central Tendency (Mean, Median, and Mode) 7:49:36 Mean, Median and Mode (Hands-on) 8:03:19 Fundamentals of Visualization 8:06:13 Chart Suggestions By Dr. Andrew Abela 8:06:55 Choosing a Statistical Method 8:10:00 Step-1 Normality Test 8:11:01 Step-2 Homogeneity Test 8:11:36 Step-3 Purpose 8:18:30 Step-3 Data Type 8:21:46 Statistical Tests 8:35:50 Non-Parametric Alternatives 8:40:45 Research Designs (CRD vs RCBD vs LSD) 8:48:37 EDA (Exploratory Data Analysis) 9:45:21 Data Wrangling # Thank you Awais & Nasir for sending the time stamps.