MCSL-065 IGNOU Handwritten Assignment 2026-27

MCSL-065 Data Science Lab Physical Handwritten Assignment (Hard Copy)

This assignment is a 100% physical hard copy designed strictly for IGNOU’s MCSL-065 (Data Science Lab) under the M.Sc. (Data Science and Analytics) program. It adheres to the official syllabus, featuring neat human handwriting on 80 GSM A4 ruled paper, including an attached official IGNOU front page and printed question paper for seamless submission via Speed Post.

Key Syllabus Units Covered

• Unit 1: Statistical Computing and Data Manipulation

  Hands-on exercises in Python (NumPy, Pandas) for data cleaning, transformation, and statistical analysis. Includes practicals on handling missing values, filtering datasets, and generating summary statistics.

• Unit 2: Machine Learning Implementation

  Implementation of supervised (linear regression, decision trees) and unsupervised (clustering, PCA) algorithms using Scikit-learn. Focus on model training, evaluation metrics (accuracy, precision), and hyperparameter tuning.

• Unit 3: Data Visualization and Interpretation

  Creation of plots (bar charts, heatmaps, scatter plots) using Matplotlib/Seaborn. Emphasis on interpreting trends, outliers, and visual storytelling with real-world datasets.

• Unit 4: Big Data Tools and Workflows

  Practical exposure to Hadoop/Spark basics, including ETL pipelines, distributed computing concepts, and basic Spark DataFrame operations.

• Unit 5: Case Study Application

  End-to-end project involving data collection (APIs/CSV), preprocessing, model deployment (Flask/FastAPI), and a written report summarizing findings.

Assignment Features

• Neat, legible handwritten solution on 80 GSM A4 ruled sheets.
• Official IGNOU front page pre-attached for submission.
• Printed question paper included for reference.
• Delivered via Indian Speed Post to your registered address.
• Strictly follows IGNOU’s assignment guidelines for MCSL-065.

Subject-Specific FAQs

• Q: Are diagrams/visuals required for this assignment?

  Yes, for Units 3 and 5, hand-drawn plots (e.g., scatter plots, decision trees) are mandatory. Use a ruler for axes and label clearly.

• Q: Can I use pre-written code snippets for Python/Pandas?

  No. Code must be handwritten with explanations. Copy-pasting is not permitted; focus on manual implementation and comments.

Delivery and Submission

The assignment is prepared as a physical hard copy only, ensuring compliance with IGNOU’s submission policies. It is dispatched via Indian Speed Post to your provided address, complete with all necessary attachments for direct submission to your study center.

Note: This is not a PDF or digital file. Only the physical handwritten version is provided.