
By Ali Imran
Rs. 10000
This course includes
1. What is data
2. Data Explained with Real Life Example
3. types of data &catageries of data
4. Structured data
5. Unstructured data
6. Revision And Semi Structured Data
7. Sources of Data
8. Remaining Sources of Data and Importance of Data Collection
9. Data Explained with Further Examples
10. Ethical Consideration in Data Collection
11. MCQs
Class Activity
1. Introduction to Data Analytics(vvs)
2. Data Analytics cycle(vvs)
3. Real life example Of Data Analytics(vvs)
4. Another example Of Data Analytics(vvs)
5. Data analytics stage intro & Descriptive Analytics(vvs)
5.1 Diagnostic Analytics(vvs)
5.2 predictive Analytics(vvs)
5.3 prescreptive Analytics(vvs)
6. Real life example of Qurshi Industries(vvs)
7. Aplication of data Analytics(vvs)
8.Chapter 3 Mcqs(vvs)
1. Big Data intro(VVS)
2. Charactersitcs of big data(VVS)
3. Sources of big data(VVS)
4.Method of big data
5.Application of big data
6.Challanges of big data
7. Emerging trends(VVS)
8. Chapter 4 Mcqs(VVS)
1.intro Data governance
2.Key objectives of data governance
3.1 key components of data governance
3.2 key components of data governance
3.3 key components of data governance
3.4 key components of data governance
4.1 level of data governance
4.2 level of data governance
4.3 level of data governance
5. Common data clasifaciation
6. data classification frame work
7. Data storage
8.Emerging trends
9.Data integrity
10. data security
11. Complince and stewerd ship
12. Meta data
13.Emerging Technologies in Data Governance
14.Drivers of Data Governance
15.Data governance chanllenges
16.data governance best practices and implimentation stages
17.Chapter 2 overview
18.MCQS
CAF 03 Data System and Risks (Classroom Mode) by Sir Ali Imran
8+ students are Recommending this Course