Mention the Tuition fees, caution fees, registration fees, admission fees, development fees, lab fees and the other compulsory charges during the course completion as per the category (like Management, SC, ST). Also, share the fees of your batchmates for categories other than yours.

The course curriculum can be rated highly for relevance and comprehensiveness if it: 1. **Aligns with Industry Standards**: Includes up-to-date topics and tools commonly used in the industry. 2. **Comprehensive Content**: Covers a broad range of essential topics, from basic concepts to advanced techniques. 3. **Practical Applications**: Incorporates real-world projects and case studies for hands-on experience. 4. **Updated Regularly**: Reflects the latest trends and technologies in data analytics. 5. **Feedback from Alumni**: Receives positive reviews from former students regarding its applicability in their careers. Evaluating the curriculum against these criteria can provide a clear picture of its quality.