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

Lec 01 Introduction to Data

Lec 16 Assignments and Discussion of Question

Lec 16 JSON and XML

Lec 15 Semi Structured Data 1

Lec 14 Tags Markers and XML file

Lec 15 Semi Structured Data

Lec 14 Sentiment Analysis and NLP

Lec 13 Unstructured Data

Lec 12 Structured Data

Lec 11 Discussion on API

Lec 10 Ethical Consideration of Data

Lec 2 Qualitative type of Data

Lec 6 Assignment on Sources of Data

Lec 4 Assignment of type of Data

Lec 7 Primary and Secondary sources of data

Lec 8 Assignment on Primary and Secondary sources of data

Lec 5 Internal and External Sources of data

Lec 9 Importance of Data

Lec 3 Quantitative type of Data

Lec 1 MCQs Practice and discussion

Lec 2 Types of Questions expected from chapter

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

Lec 4 Drafting practice class Question Bank Q 1 for Healthcare industry

Lec 5 Drafting practice class Question Bank Q 1 for Retail industry

Lec 6 Assignment Discussion

Lec 1 Charachteristics of Big Data

Lec 2 Sources of Big Data

Lec 3 Methods of Big Data Collection

Lec 4 Application and Challenges of Big Data

Lec 1 MCQs practice

Lec 2 Drafting Practice

LEC 3 Assignment Discussion 1

Lec 1 Data Analytics Cycle

Lec 2 Stages of Data Analytics

Lec 3 Application and Implementation of Data Analytics

Lec 4 Quick Summary of Chapter

Lec 1 MCQs Discussion

Lec 2 Drafting class Practice Question 1

Lec 3 Drafting class Practice Question 2

Lec 4 Assignment Understanding on Data Cycle

Lec 5 Assignment 1 Solving on Data Cycle

Lec 6 Assignment 2 Solving on Data Cycle

Lec 1 Data Classification Models

Lec 2 Data Storage

Lec 3 Data Security

Lec 4 Stewardship

Lec 5 Data Classification

Lec 6 Data Integrity

Lec 7 Levels of Data Governance

Lec 8 Data Governance and Components

Lec 9 Emerging Technologies

Lec 1 Collibra Informatica and Alation

Lec 2 Drafting practice class Question Bank

Lec 3 Summary of Chapter

Lec 4 MCQs Practice

Lec 1 What is DataBase

Lec 2 What is DataBase Management System

Lec 4 ACID Features

Lec 3 Components of Data Base

Lec 5 Other Charachteristics of Data Base

Lec 6 3 Scheme Architecture

Lec 7 Three Level Scehma in detail

Lec 8 Data Independance

Lec 1 Data Normalization

Lec 2 Data Warehouse

Lec 3 Data Normalization Practice

LEC 4 OLTP

LEC 5 ETLP

LEC 6 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 Chapter 17

Lec 2 Chapter 17

Lec 1 Introduction to ITGC

Lec 2 Key Objectives of ITGC

Lec 3 Importance of ITGC

Lec 4 Key Components of ITGC

Lec 5 Implenting Model of ITGC

Lec 6 Risk Management

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