Nearpeer | Pakistan’s Most Trusted Online Education Platform

Lec 1 Introduction to Risk Management and Strategic purpose for Risk Assessment
29 min
Lec 2 Key Components of Risk Management
12 min
Lec 3 IT Risk Treatment Strategies
7 min
Lec 4 Common IT Risk Categories
9 min
Lec 5 Types of IT Risk and Mitigation Strategies
15 min
Lec 6 Fundamental Security Concepts
14 min
Lec 7 Access and Identity management contols
16 min
Lec 8 Data Protection and Encryption
8 min
Lec 9 Threats Response and Monitoring
5 min
Lec 10 Advanced Security Technologies
17 min
Lec 11 Infrastructure level Security Controls
8 min
Lec 12 Policy Governance and Integration
6 min
Lec 13 Future Trends in IT Risk Management
9 min

Class Room Lectures

Lec 1 Chapter 17
25 min
Lec 2 Chapter 17
12 min

Drafting Practice

Day 1 Practice question revision
52 min
Day 2 Practice question revision
60 min
Day 3 Practice question revision
61 min
Day 4 Practice question revision
35 min
Day 5 Practice question revision
40 min
Day 6 Practice question revision
46 min
Day 7 Practice question revision
41 min
Day 8 Practice question revision
48 min

Class Room Lectures

Lec 1 Introduction to ITGC
9 min
Lec 2 Key Objectives of ITGC
14 min
Lec 3 Importance of ITGC
8 min
Lec 4 Key Components of ITGC
22 min
Lec 5 Implenting Model of ITGC
40 min
Lec 6 Risk Management
20 min

Class Room Lectures

LECTURE 1
53 min
LECTURE 2
45 min
LECTURE 3
30 min

Class Room Lectures

LECTURE 1
48 min
LECTURE 2
30 min
LECTURE 3
39 min

Live Session for August 2026

CAF 03 DSR by Sir Osama Waheed Live Session 1
52 min
CAF 03 DSR by Sir Osama Waheed Live Session 2
46 min
CAF 03 DSR by Sir Osama Waheed Live Session 3
24 min
DSR Chapter 16 and 17 Drafting Practice
80 min
CAF 03 DSR by Sir Osama Waheed Live Session PART 1
11 min
CAF 03 DSR by Sir Osama Waheed Live Session PART 02
29 min
Live Session on 22 May 2026
48 min

Videos : 131

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Course Content

245+ students are Recommending this Course

Frequently Asked Questions

Nearpeer is an online education platform (Ed-Tech) that offers wide varaitey of online courses. These courses range from Fsc, MDCAT, ECAT, SAT, CA, ACCA, CSS, and many others. Nearpeer is the best online course offering platform in Pakistan.

Nearpeer offers wide variety of online courses including: Fsc, MDCAT, CSS, SAT, and CA. These courses are being offered as full-fledge programs that ensures students’ success. These programs are designed by experienced educators with the help of the best instructors available in the market.

Nearpeer is the best online education platfrom in Pakistan. If you want to pass your exams with amazing grades, you should study from Nearpeer. The amazing tools like MDCAT score predictor, AI Chat Bot, and AI assignments are very helpful for giving you a necessary edge to out-perform in any exam.

There are more than 500,000+ students studying at Nearpeer with total enrollments above 3 Million at the end of 2023. This large student body is a sufficient proof of the quality content and trustworthiness of Nearpeer as an established Ed-Tech Platform.

Nearpeer courses are priced anywhere between 2000 Rs to maximum of 15000 RS. You get acccess to a course till your exam date and all of the relevant material is acessible by paying the course price. There are numerous scholarships and discounts available for deserving students. So, feel free to contact to our couselors for more details.

Yes, Nearpeer courses are offered as complete preparation program and they are sufficient for your preparation. These courses are being offered by the best instructors of the market. These courses are very comprehensive and designed to focus on the exam preparation.

You can download (offline store) Nearpeer videos in your android and iOS Applications. Simply, go to any course module or video and click on the download icon. Once downloaded, your videos will appear in the “Download Section” of the application.

Nearpeer accepts all commonly used payment methods like Easypassia, Jazzcash, Debit/Credit cards, and direct bank payments. You can find more details on the payment page. We are even offering Buy-now-pay-later services to our students.

Nearpeer has been rated the best online education Platfrom in Pakistan. This rating is a result of our hardwork to provide quality education at an extreme low price. We are always pushing ourselves to offer better services to our students.

Student can access Nearpeer through internet anywhere, but our head office is in Lahore, Punjab. We recommend our students to get in contact with us at 03111444734 before visiting the office so that we can arrange the relevant personals for their assistance.

If you follow Nearpeer’s recommended study plan, your success is guaranteed. We have seen students improving their scores by whopping 60% only when they followed our recommended plan. We have knowledge and experties in Test Preparations and our plan always work for our students. Our recipe includes: Smart Preparation plan, Hardwork, and focus on Practice.

Yes. Nearpeer has incorporated AI at its core. Our services like MDCAT Score Predictor, AI Chat BOT, AI Assignemnts, and AI Quizzes are few of the amazing educational AI tools that we have developed. Nearpeer strongly believes in utilizing the power of AI in making educational accessible and scalable for students across the globe.

CAF 03 Data System and Risks (Classroom Mode) by Sir Osama Waheed

By Osama Waheed

Enrollments : 245 Students

Rs. 15000

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This course includes

Videos : 131

Module 1 Orientation

Orientation

CAF 03 DSR by Sir Osama Waheed Orientation
40 min

Sir Atif Abidi is giving a complete overview of Nearpeer it’s worth watching

Sir Atif Abidi Gives Complete Overview of Nearpeer Must Watch for Students
6 min

Post Batch

CAF 03 POST BATCH Orientation August 26 Attempt by Sir Osama Waheed
61 min

Module 2 Chapter 1

Class Room Lectures

Lec 01 Introduction to Data
17 min
Lec 16 Assignments and Discussion of Question
20 min
Lec 16 JSON and XML
7 min
Lec 7 Primary and Secondary sources of data
8 min
Lec 15 Semi Structured Data 1
10 min
Lec 6 Assignment on Sources of Data
5 min
Lec 14 Tags Markers and XML file
11 min
Lec 5 Internal and External Sources of data
14 min
Lec 15 Semi Structured Data
10 min
Lec 14 Sentiment Analysis and NLP
5 min
Lec 8 Assignment on Primary and Secondary sources of data
49 Sec
Lec 13 Unstructured Data
16 min
Lec 4 Assignment of type of Data
6 min
Lec 12 Structured Data
19 min
Lec 2 Qualitative type of Data
7 min
Lec 11 Discussion on API
6 min
Lec 9 Importance of Data
5 min
Lec 10 Ethical Consideration of Data
6 min
Lec 3 Quantitative type of Data
3 min

MCQs and Drafting Practice

Lec 1 MCQs Practice and discussion
10 min
Lec 2 Types of Questions expected from chapter
8 min
Lec 3 Drafting practice class Question Bank Q 1 for Finance industry
23 min
Lec 4 Drafting practice class Question Bank Q 1 for Healthcare industry
15 min
Lec 5 Drafting practice class Question Bank Q 1 for Retail industry
15 min
Lec 6 Assignment Discussion
16 min

Module 3 Chapter 4

Class Room Lectures

Lec 1 Charachteristics of Big Data
20 min
Lec 2 Sources of Big Data
11 min
Lec 3 Methods of Big Data Collection
15 min
Lec 4 Application and Challenges of Big Data
10 min

MCQs and Drafting Practice

Lec 1 MCQs practice
8 min
Lec 2 Drafting Practice
10 min
LEC 3 Assignment Discussion 1
48 min

Module 4 Chapter 3

Class Room Lectures

Lec 1 Data Analytics Cycle
38 min
Lec 2 Stages of Data Analytics
16 min
Lec 3 Application and Implementation of Data Analytics
7 min
Lec 4 Quick Summary of Chapter
4 min

MCQs and Drafting Practice

Lec 1 MCQs Discussion
14 min
Lec 2 Drafting class Practice Question 1
19 min
Lec 3 Drafting class Practice Question 2
5 min
Lec 4 Assignment Understanding on Data Cycle
13 min
Lec 5 Assignment 1 Solving on Data Cycle
10 min
Lec 6 Assignment 2 Solving on Data Cycle
8 min

Module 5 Chapter 2

Class Room Lectures

Lec 1 Data Classification Models
32 min
Lec 2 Data Storage
21 min
Lec 3 Data Security
30 min
Lec 4 Stewardship
8 min
Lec 5 Data Classification
4 min
Lec 6 Data Integrity
35 min
Lec 7 Levels of Data Governance
24 min
Lec 8 Data Governance and Components
7 min
Lec 9 Emerging Technologies
12 min

MCQs and Drafting Practice

Lec 1 Collibra Informatica and Alation
15 min
Lec 2 Drafting practice class Question Bank
7 min
Lec 3 Summary of Chapter
10 min
Lec 4 MCQs Practice
11 min

Module 6 Chapter 5

Class Room Lectures

Lec 1 What is DataBase
15 min
Lec 2 What is DataBase Management System
7 min
Lec 4 ACID Features
7 min
Lec 3 Components of Data Base
8 min
Lec 5 Other Charachteristics of Data Base
3 min
Lec 6 3 Scheme Architecture
12 min
Lec 7 Three Level Scehma in detail
17 min
Lec 8 Data Independance
17 min

MCQs and Drafting Practice

Chapter 5 Revision 1
44 min
Chapter 5 Revision 2
29 min
Chapter 5 Revision 3
46 min
Lec 1 MCQs practice
11 min
Lec 2 MCQs practice
10 min
Lec 1 Drafting Practice
14 min

Module 7 Chapter 6

Class Room Lectures

Lec 1 Data Normalization
42 min
Lec 2 Data Warehouse
7 min
Lec 3 Data Normalization Practice
24 min
LEC 4 OLTP
13 min
LEC 5 ETLP
8 min
LEC 6 DATAMART
4 min
Revision Lec Data Normalization Data Warehouse ETL Process Data Mart
58 min

Module 8 Chapter 14

Regular Studio Lectures

Lec 1 Introduction to Risk Management and Strategic purpose for Risk Assessment
29 min
Lec 2 Key Components of Risk Management
12 min
Lec 3 IT Risk Treatment Strategies
7 min
Lec 4 Common IT Risk Categories
9 min
Lec 5 Types of IT Risk and Mitigation Strategies
15 min
Lec 6 Fundamental Security Concepts
14 min
Lec 7 Access and Identity management contols
16 min
Lec 8 Data Protection and Encryption
8 min
Lec 9 Threats Response and Monitoring
5 min
Lec 10 Advanced Security Technologies
17 min
Lec 11 Infrastructure level Security Controls
8 min
Lec 12 Policy Governance and Integration
6 min
Lec 13 Future Trends in IT Risk Management
9 min