MRW 001 Energy Conversion | IN-DEPTH STUDY GUIDE for IGNOU 
MRW 002 Heat Transfer | IN-DEPTH STUDY GUIDE for IGNOU 
MED 003 Energy and Environment | IN-DEPTH STUDY GUIDE for IGNOU 
MST 001 Foundation of Mathematics and Statistics | IN-DEPTH STUDY GUIDE for IGNOU 
MRW 003 Renewable Energy Systems | IN-DEPTH STUDY GUIDE for IGNOU 
MRW 004 Energy Management | IN-DEPTH STUDY GUIDE for IGNOU 
MEV-003 Environment law and Management | IN-DEPTH STUDY GUIDE for IGNOU 
MRW 005 Solar Energy and its Application | IN-DEPTH STUDY GUIDE for IGNOU 
MRW 006 Bioenergy Conversion and its Utilization | IN-DEPTH STUDY GUIDE for IGNOU 
MRW 007 Energy Economics and Planning | IN-DEPTH STUDY GUIDE for IGNOU 
MRWE 001 Nanotechnology in Energy and Environment | IN-DEPTH STUDY GUIDE for IGNOU 
MEV 021 Introduction to climate change | IN-DEPTH STUDY GUIDE for IGNOU 
MEVE001 Environmental Impact Assessment for Environmental Health | IN-DEPTH STUDY GUIDE for IGNOU 
MCS 224 Artificial Intelligence and Machine learning | IN-DEPTH STUDY GUIDE for IGNOU 
MCS 227 Cloud computing and IOT | IN-DEPTH STUDY GUIDE for IGNOU 
MCS 231 Mobile Computing | IN-DEPTH STUDY GUIDE for IGNOU 
MRWE 002 Energy Storage | IN-DEPTH STUDY GUIDE for IGNOU 
MCS 226 Data Science and Big Data | Quick...
Rs.149
| Product Name | Cart |
|---|---|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Category | : MASTER‘S DEGREE PROGRAMMES |
| Sub Category | : Master of Science (Renewable Energy and Environment) (MSCRWEE) |
| Products Code | : MSCRWEE-MRW-S4-5.61 |
| HSN Code | : 490110 |
| Language | : English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 300 |
| Weight | : 199 GM |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
MCS 226 Data Science and Big Data is an essential resource for students pursuing a Master of Computer Applications (MCA). This study guide provides comprehensive coverage of both data science and big data technologies, combining theoretical concepts with practical applications. Spanning 300-350 pages, it is meticulously aligned with the IGNOU syllabus, ensuring that students are well-prepared for their exams and equipped with the necessary skills for the field of data science and big data.
DISCLAIMER
The IGNOU solved assignments and guess papers provided on this platform are for reference purposes only and should not be used to engage in educational dishonesty. These materials serve as learning and study tools and are not intended for submission as original work. Users are responsible for using these materials ethically and in accordance with their educational institution's guidelines. We do not assume liability for any misuse or consequences resulting from the use of these materials. By accessing and utilizing these resources, users agree to this disclaimer.
Chat with us
