Corporate
decision-makers require access to all the organization’s data, wherever it is
located. To provide a comprehensive analysis of the organization, its business,
its requirements and any trends, require access to not only the current data in
the database but also to historical data. To facilitate this type of analysis,
data warehouses have been created to contain data drawn from several sources, maintained
by different departments of the organization. This course will involve an in-depth
study of various concepts needed to design and develop a data warehouse and its
maintenance. It also introduces data warehouse security, data mining and
end-user access tools for a data warehouse.
| Course Status : | Upcoming |
| Course Type : | Core |
| Language for course content : | English |
| Duration : | 12 weeks |
| Category : |
|
| Credit Points : | 4 |
| Level : | Postgraduate |
| Start Date : | 15 Jul 2025 |
| End Date : | 31 Oct 2025 |
| Enrollment Ends : | 31 Aug 2025 |
| Exam Date : | |
| Translation Languages : | English |
| NCrF Level : | 6.5 |
| Industry Details : | Technology (High-tech) |
Week 1: Introduction to Data Warehousing and
Basic Concepts
Week 2: The Data Warehouse
Week 3: Data Warehousing Architecture &
Principle
Week 4: Extract, Transform and Load (ETL
Process)
Week 5: Introduction to Data Mining
Week 6: Comparison between Data mining, DBMS
and KDD
Week 7: OLAP (Online Analytical Processing)
Week 8: Data mining Techniques &
Algorithms
Week 9: Basics of Data Mining Algorithms
Week 10: Data Visualization
Week 11: Data warehousing & Its
Application Area
Dr. Vaibhav Panwar : An academic professor,
currently associated with Manipal University Jaipur, with more than 22 years of
academic experience & an established in-depth knowledge in the discipline
of core Computer Science; has pioneered and launched independent research
culture and programs; has a good morale standing and public record; highly
interested in participating in the development of new interdisciplinary
programs of study; has deep commitment to teaching; excels in research; and has
established a linkage with the industry. His area of interest includes Data
Structure, Data Mining & Data Warehousing etc.
Enrolling and learning from the course is free. However, if you wish to obtain a certificate, you must register and take the proctored exam in person at one of the designated exam centre’s. The registration URL will be announced when the registration form is open. To obtain the certification, you need to fill out the online registration form and pay the exam fee. More details will be provided when the exam registration form is published, including any potential changes. For further information on the exam locations and the conditions associated with filling out the form, please refer to the form.
Grading Policy:
Assessment Type | Weightage |
Weekend Assessment | 25% |
Final Exam | 75% |
Certificate Eligibility:
Score | Type of Certificate |
>=90 | Gold |
76 - 89 | Silver |
61 - 75 | Bronze |
40 - 60 | Successfully Completed |
<39 | No Certificate |
Sample Certificate:
Disclaimer: In order to be eligible for the certificate, you must register for enrolment and exams using the same email ID. If different email IDs are used, you will not be considered eligible for the certificate.
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