Mastering Introduction to Data Science for BTU Exams
Data Science is an incredibly scoring and modern subject for B.Tech CSE at Bikaner Technical University (BTU). As a student looking to ace this semester, having the right resources is key. That's why at WriteByHand.in, we've compiled the last 5 years of PYQs. By reviewing these PDFs, you'll uncover the exact pattern of theory and analytical questions asked.
Most Repeated Topics in BTU Data Science Papers
- Data Preprocessing & EDA: Questions on handling missing values, data normalization, and Exploratory Data Analysis (EDA) are fundamental.
- Supervised vs Unsupervised Learning: You will almost certainly face a 10-15 mark question asking you to differentiate between these two paradigms with examples like Linear Regression (Supervised) and K-Means Clustering (Unsupervised).
- Machine Learning Algorithms: Be prepared to explain the mathematical intuition and practical use cases of Decision Trees, Naive Bayes, and Support Vector Machines (SVM).
- Python Libraries: Short-answer questions frequently target the basic functionalities of core libraries like Pandas (DataFrames) and NumPy (arrays).
Study Hack: Download the latest 2026 and 2025 papers from the drive links above. Make sure you practice drawing simple block diagrams for ML pipelines (Data Gathering -> Preprocessing -> Model Training -> Evaluation). Examiners award extra marks for structured diagrams!