CAF 03 DSR by Sir Osama Waheed Orientation

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

Lec 1 Introduction to word Data

Lec 4 Quantitative Type of Data

Lec 5 Primary source of Data

Lec 8 Overview of Topics covered

Lec 9 Structured Data and Examples

Lec 11 Semistructured Data and Examples

Lec 13 Sentiment analysis and NLP

Lec 15 Importance of Data Collection

Lec 16 Ethical Considerations

Lec 7 Internal and External data

Lec 6 Secondary source of Data

Lec 2 Basic Examples of word Data

Lec 3 Qualitative Type of Data

Lec 16 JSON and XML

Lec 14 Tags Markers and XML file

Lec 11 Unstructured Data and Examples

Lec 1 MCQs Practice and discussion

Lec 1 Drafting practice class Question Bank Q 1 for Finance industry

Lec 3 Drafting practice class Question Bank Q 1 for Retail industry

Lec 2 Drafting practice class Question Bank Q 1 for Healthcare industry

Lec 1 Data Classification Models

Lec 1A DATA CLASSIFICATION REVISION

Lec 2 Data Security

Lec 3 Data Integrity

Lec 4 Mapping of Data Entry

Lec 5 Data Stewardship

Lec 6 Metadata Management

Lec 7 Complaince with Data Regulation

Lec 8 Emerging Technologies in Data Governance

Lec 9 Data Governance Challenges

Lec 10 What is Data Governance

Lec 11 Levels of Data Governance

LEC 12 DATA STORAGE

Lec 1 MCQs Practice

Lec 1 Drafting practice class Question Bank

Lec 1 Overview of Chapter

Lec 2 Intro to Data Analytics

Lec 3 Data Analytics Cycle Part 1

Lec 4 Data Analytics Cycle Part 2

Lec 5 Stages of Data Analytics Overview

Lec 6 Stages of Data Analytics Explained

Lec 7 Application and Implementation of Data Analytics

Lec 8 Quick Summary of Chapter

Lec 9 Assignment Understanding on Data Cycle

Lec 11 Assignment 2 Solving on Data Cycle

Lec 12 Linking Data Stages with Data Cycle

Lec 13 Revision of Chapter 3 half

Lec 14 Revision of Chapter 3 remaining

Lec 1 MCQs Discussion

Lec 1 Drafting class Practice Question 1

Lec 2 Drafting class Practice Question 2

Lec 1 Overview of Complete Chapter

Lec 2 Features of Big Data

Lec 3 Sources of Big Data

Lec 4 Methods of Big Data Collection

Lec 5 Applications of Big Data

Lec 6 Challenges of Big Data

Lec 1 MCQs practice

Lec 1 Drafting Practice

LEC 1 DATABASE AND DATABASE MANAGEMENT SYSTEM

LEC 2 COMPONENTS OF A DBMS

LEC 3 ACID MODEL

LEC 4 ADDITIONAL FEATURES

LEC 5 TYPES OF DMBS

LEC 6 DBMS ARCHITECHTURE

LEC 7 EXTERNAL USER VIEW

LEC 8 LOGICAL VIEW

LEC 9 INTERNAL VIEW

Lec 1 MCQs practice

Lec 2 MCQs practice

Lec 1 Drafting Practice

LEC 1 DATABASE MANAGEMENT SYSTEM

LEC 2 PRIMARY KEY

LEC 3 DATABASE NORMALIZATION

LEC 4 DATA WAREHOUSING

LEC 5 OLTP

LEC 6 ETLP

LEC 7 DATAMART

Revision Lec Data Normalization Data Warehouse ETL Process Data Mart

Lec 1 Introduction to Risk Management and Strategic purpose for Risk Assessment

Lec 2 Key Components of Risk Management

Lec 3 IT Risk Treatment Strategies

Lec 4 Common IT Risk Categories

Lec 5 Types of IT Risk and Mitigation Strategies

Lec 6 Fundamental Security Concepts

Lec 7 Access and Identity management contols

Lec 8 Data Protection and Encryption

Lec 9 Threats Response and Monitoring

Lec 10 Advanced Security Technologies

Lec 11 Infrastructure level Security Controls

Lec 12 Policy Governance and Integration

Lec 13 Future Trends in IT Risk Management

Lec 1 Introduction to IT General Controls

Lec 3 Importance of IT General Controls

Lec 2 Objectives of IT General Controls

Lec 4 Components of IT General Controls

Lec 5 Implementing IT General Controls

Lec 6 Challenges in IT General Controls

Lec 1 CyberSecurity Risk

Lec 2 Operational Risk

Lec 3 Compliance Risk

Lec 4 Financial Risk

Lec 5 Stategic Risk

Lec 6 ICT Role in Risk Management

Lec 7 ICT Role in Risk Reporting

Lec 8 ICT Role in Risk Mitigation

LEC 9 MCQs and Drafting Practice of Ch 14 16 and 17 (TAKEN FROM LIVE SESSION)

Lec 1 Foundation of Cyber Security

Lec 2 Major Cyber Security Threats

Lec 3 Strategies for Cyber Security Defence

Lec 4 Emerging Cyber Security Risk

Lec 5 Advanced Securities in Cyber Securities

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Lec 2

Lec 3

Lec 4

Lecture 1

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LECTURE 2

LECTURE 3

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LECTURE 2

LECTURE 3