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MED 003 Energy and Environment | Quick Readable Notes For IGNOU Exam 
MRW 003 Renewable Energy Systems | Quick Readable Notes For IGNOU Exam 
MRW 004 Energy Management | Quick Readable Notes For IGNOU Exam 
MEV-003 Environment law and Management | Quick Readable Notes For IGNOU Exam 
MRW 005 Solar Energy and its Application | Quick Readable Notes For IGNOU Exam 
MRW 006 Bioenergy Conversion and its Utilization | Quick Readable Notes For IGNOU Exam 
MRW 007 Energy Economics and Planning | Quick Readable Notes For IGNOU Exam 
MRWE 001 Nanotechnology in Energy and Environment | Quick Readable Notes For IGNOU Exam 
MEV 021 Introduction to climate change | Quick Readable Notes For IGNOU Exam 
MEVE001 Environmental Impact Assessment for Environmental Health | Quick Readable Notes For IGNOU Exam 
MCS 224 Artificial Intelligence and Machine learning | Quick Readable Notes For IGNOU Exam 
MCS 226 Data Science and Big Data | Quick Readable Notes For IGNOU Exam 
MCS 227 Cloud computing and IOT | Quick Readable Notes For IGNOU Exam 
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MRWE 002 Energy Storage | Quick Readable Notes For IGNOU Exam MST 001 Foundation of Mathematics and Statistics...
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| Category | : MASTER‘S DEGREE PROGRAMMES |
| Sub Category | : Master of Science (Renewable Energy and Environment) (MSCRWEE) |
| Products Code | : MSCRWEE-MRW-S1-5.61 |
| HSN Code | : 490110 |
| Language | : English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 100-130 |
| Weight | : 157gms |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
MST 001 Foundation of Mathematics and Statistics is a core course designed for students pursuing the Master of Science in Data Science (MSDS). This course provides a robust foundation in mathematical principles and statistical techniques essential for data analysis and interpretation. It covers topics such as calculus, linear algebra, probability theory, hypothesis testing, and regression analysis, offering practical insights through exercises and examples.
Key benefits of this course include:
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