Class 11th Informatics Practices (065) Book – Full Video Course
This Course Covers The Following:
CBSE / NCERT Syllabus Based Topic Wise Explanation
Syllabus Overview of the Subject
Chapter wise Summary
NCERT Solutions
Full Chapter Videos
One Shot Revision
MCQs
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Created by Instructor Last updated Tue, 27-May-2025English
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Curriculum for this course
117 Lessons
148:16:42 Hours
Syllabus 2021-2022 Term I & II (Code 065)
1 Lessons
00:20:27 Hours
Syllabus 2021-2022 Term I & II (Code 065)00:20:27
Chapter 1 - Computer System
10 Lessons
14:40:31 Hours
1.1 Introduction To Computer System00:42:14
1.2 Evolution of Computer00:44:55
1.3 Computer Memory00:54:23
1.4 Data Capturing,Storage & Retrieval00:23:06
1.5 Software & Its Types00:58:06
1.6 Exercise00:57:43
1.7 Multiple Choice Questions02:39:55
1.8 Most Important Questions01:44:50
1.9 One Shot Revision01:58:13
1.10 Computer System - Complete Chapter in One Video03:37:06
Chapter 2 - Emerging Trends
12 Lessons
11:22:27 Hours
2.1 Overview00:14:47
2.2 Introduction00:09:37
2.3 Artificial Intelligence00:39:37
2.4 Big Data00:31:22
2.5 Internet of Things00:33:40
2.6 Cloud Computing00:33:03
2.7 Grid Computing00:25:40
2.8 Exercise01:01:45
2.9 Multiple Choice Questions00:29:49
2.10 Most Important Questions01:13:06
2.11 One Shot Revision01:51:16
2.12 Emerging Trends - Complete Chapter in One Video03:38:45
Chapter 3 - Brief Overview of Python
23 Lessons
35:34:02 Hours
3.1 Overview00:17:18
3.2 Introduction to Python00:36:41
3.3 Working With Python00:49:59
3.4 Working with Python(Anaconda With Spyder IDE)00:49:32
3.5 Identifiers & Keywords00:46:06
3.6 Literals00:39:02
3.7 Operators & its types01:22:15
3.8 Variables & Constants00:41:04
3.9 Python Data Types00:28:38
3.10 Python Program Structure00:36:55
3.11 Input & Output in Python00:40:46
3.12 Debugging in python00:36:07
3.13 Functions in Python01:01:38
3.14 If..Else Statements in Python00:55:50
3.15 Loops (For loop)00:55:53
3.16 Exercise01:22:24
3.17 Multiple Choice Questions00:59:21
3.18 Most Important Questions02:57:55
3.19 One Shot Revision04:55:29
3.20 Complete Practical02:07:51
3.21 Brief Overview of Python - Full Chapter Explanation (Part 1)03:11:25
3.22 Brief Overview of Python - Full Chapter Explanation (Part 2)03:06:41
3.23 Brief Overview of Python - Full Chapter Explanation (Part 3)05:35:12
Chapter 4 - Working with List & Dictionaries
13 Lessons
17:45:35 Hours
4.1 Overview00:07:41
4.2 Introduction to Lists00:49:57
4.3 List Operations (Theory & Practical)01:01:30
4.4 Traversing a List (Theory & Practical)00:48:25
4.5 List Methods & Built in Functions (Theory)00:29:07
4.6 Introduction to Dictionaries (Theory & Practical)00:42:40
4.7 Dictionary Methods & Built In Functions(Theory & Practical)00:29:33
4.8 Exercise00:39:47
4.9 Multiple Choice Questions01:18:54
4.10 Most Important Questions02:19:20
4.11 One Shot Revision02:06:18
4.12 Complete Practical01:38:33
4.13 Working with List & Dictionaries - Complete Chapter in One Video05:13:50
Chapter 5 - Understanding Data
15 Lessons
09:55:32 Hours
5.1 Overview00:10:30
5.2 Introduction to Data00:17:20
5.3 Importance of Data00:18:25
5.4 Types of Data00:26:49
5.5 Data Collection00:11:16
5.6 Data Storage00:09:52
5.7 Data Processing00:19:50
5.8 Statistical Techniques for Data Processing00:14:07
5.9 Measures of Central Tendency - Mean, Median and Mode00:23:03
5.10 Measures of Variability - Range and Standard Deviation00:22:47
5.11 Exercise00:37:01
5.12 Multiple Choice Questions00:33:19
5.13 Most Important Questions01:28:38
5.14 One Shot Revision01:20:37
5.15 Understanding Data - Complete Chapter in One Video03:01:58
Chapter 6 - Introduction to NumPy
19 Lessons
21:17:38 Hours
6.1 Overview of The Chapter00:13:29
6.2 Introduction (Theory & Practical)00:20:00
6.3 Array00:18:13
6.4 NumPy Array (Theory & Practical)00:42:44
6.5 Attributes of NumPy Array (Theory & Practical)00:46:37
6.6 Ways of Creating NumPy Array (Theory & Practical)00:30:03
6.7 Indexing and Slicing (Theory and Practical)01:05:22
6.8 Operations on Arrays (Theory and Practical)00:48:17
6.9 Concatenating Arrays (Theory and Practical)00:25:32
6.10 Reshaping Arrays (Theory and Practical)00:15:30
6.11 Splitting Arrays (Theory and Practical)00:32:50
6.12 Statistical Operations on Arrays (Theory and Practical)00:36:09
6.13 Loading Arrays From Files (Theory and Practical)00:46:52
6.14 Saving NumPy Arrays in Files on Disk00:14:14
6.15 Exercise00:58:08
6.16 Multiple Choice Questions00:43:27
6.17 Most Important Questions01:31:53
6.18 One Shot Revision02:30:39
6.19 Introduction to NumPy - Complete Chapter in One Video07:57:39
Chapter 7 - Database Concepts
11 Lessons
11:09:29 Hours
7.1 Overview00:10:30
7.2 Introduction00:14:42
7.3 File System00:20:19
7.4 Database Management System00:50:51
7.5 Relational Data Mode00:33:30
7.6 Keys, Relational Data Model00:41:25
7.7 Exercise01:14:34
7.8 Multiple Choice Questions00:55:31
7.9 Most Important Questions01:27:27
7.10 One Shot Revision01:59:05
7.11 Database Concepts - Complete Chapter in One Video02:41:35
Chapter 8 - Introduction of To Structured Query Language
13 Lessons
26:11:01 Hours
8.1 Overview00:10:49
8.2 Introduction of SQL & My SQL Installation01:02:54
8.3 Data Types & Constraints in MySQL00:50:26
8.4 SQL for Data Definitions - Create Statement01:04:03
8.5 SQL for Data Definitions (Alter & Drop Statement)01:15:45
8.6 SQL for Data Manipulation (Insert Statement)01:01:12
8.7 SQL for Data Query (Select Statement)02:08:38
8.8 Data Updation & Deletion (Theory & Practical)00:36:15
8.9 Exercise01:36:57
8.10 Multiple Choice Questions00:53:42
8.11 Most Important Questions03:34:42
8.12 One Shot Revision02:34:08
8.13 Introduction of To Structured Query Language - Complete Chapter in One Video09:21:30
Requirements
Laptop
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Description
This Course Covers The Following:
CBSE / NCERT Syllabus Based Topic Wise Explanation
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