MCS-226 Assignment Answers 2024-2025 – All Questions with Links

MCS-226: Data Science & Big Data – Assignment Answer Index

This post serves as a master index for all answers to the IGNOU MAEC course assignment MCS-226: Data Science & Big Data for the academic year 2024–2025. Each question listed below is linked to its detailed answer. All answers are written in easy-to-understand language and contain over 600 words, suitable for 10th-grade reading level and above.

1. What is Exploratory Data Analysis (EDA) and why is it important in the data science workflow? What are the key components of the data science process?
2. Discuss the implications of hypothesis testing results in decision-making. Provide examples of real-world situations where statistical hypothesis testing is commonly used.
3. What is data preprocessing, and why is it a crucial step in the data science workflow? Why is it important to identify and handle outliers in a dataset during data preprocessing?
4. Discuss the significance of the three Vs (Volume, Velocity, Variety) in the context of big data. Provide examples of each of the three Vs in real-world scenarios. How does MapReduce facilitate parallel processing of large datasets? Explain the functionality of the Map function in the MapReduce paradigm with the help of an example.
5. Explain the purpose of Apache Hive in the Hadoop ecosystem. How does Spark address limitations of the traditional MapReduce model?
6. Define NoSQL databases and explain the primary motivations behind their development. Provide examples of scenarios where each type of NoSQL database is suitable.

1. How does collaborative filtering contribute to enhancing user experience and engagement in recommendation systems? Provide examples of industries or platforms where collaborative filtering is widely used.
2. Define what a Data Stream Bloom Filter is and explain its primary purpose in data stream processing. Introduce the Flajolet-Martin Algorithm and its role in estimating the cardinality of a data stream.
3. Describe the role of link analysis in the PageRank algorithm. How are links between web pages interpreted in the context of PageRank?
4. Explain the concept of decision trees in classification. Provide an example of building and visualizing a decision tree using R. How can K-means clustering be applied to a dataset in R?.

 

📘 Category: MCS-226

🏷️ Tags: IGNOU, MAEC, Data Science, Big Data, Assignments 2024-25
✍️ Updated: September 2025