Data Science with Python | Crash Course | DS-101 | اردو
#python_ka_chilla #dataScience #python
Complete playlist is here: • Video
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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.
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