CBSE Class 10 Data Science Question Paper 2026 PDF Download

The Data Science course, assigned subject code 419, introduces you to the core concepts of data analysis, statistics, and Python programming. The 2026 board examination tests your ability to interpret data visualizations and write basic code. Accessing the 2026 question paper provides a clear view of the board format. This document helps you test your retention, check your coding accuracy, and improve your time management before your final assessment.

Syllabus and Marks Distribution

The theory examination carries a maximum of 50 marks. You receive exactly 2 hours to complete the paper. The remaining 50 marks come from your school practical files and lab assessments. The theory paper covers specific units.

Part A: Employability Skills (10 Marks) This section covers basic workplace skills. You will answer questions on communication, self management, basic computer operations, entrepreneurship, and green skills.

Part B: Subject Specific Skills (40 Marks) This section tests your technical data science knowledge. It includes several key areas.

• Data Governance: Understanding data privacy, ethical use of data, and cyber security basics.
• Statistics: Calculating mean, median, mode, and standard deviation.
• Data Visualizations: Reading and interpreting bar charts, histograms, and scatter plots.
• Python Programming: Writing basic Python scripts using variables, loops, and conditional statements.

Examination Structure

The 2026 question paper divides the 50 marks across multiple sections.

Section A contains objective questions worth 24 marks. These multiple choice and fill in the blank questions require rapid recall of Python syntax and statistical formulas.

Section B contains subjective questions worth 26 marks. You will write brief definitions and short code snippets. You might need to write a Python script to calculate the average of five numbers. Examiners look for precise syntax and logical flow in your code.

Why You Need to Practice This Paper

Writing Python code on a computer is simple because the software points out your syntax errors immediately. Writing code on a blank sheet of paper requires total memorization. When you solve the 2026 board paper, you force your brain to remember the exact syntax without digital help. You will discover if you are forgetting your colons after an if statement or mixing up list brackets. This practice reveals your weak spots so you can correct them before the actual exam.

How to Practice Effectively

To maximize your preparation, use this PDF as a timed mock test. Print the paper and sit at a clear desk. Set a timer for 120 minutes.

Start with Section A to build momentum. Read the multiple choice options carefully. For the Python coding questions in Section B, write your code neatly. Indent your code blocks correctly. Python relies on indentation, and examiners will deduct marks if your loops or conditional statements lack proper spacing.

When answering the statistics questions, show all your calculation steps. For instance, if a question asks you to find the median of a data set containing the values 12, 7, 9, 4, and 15, arrange the numbers in ascending order (4, 7, 9, 12, 15) first and write that step down before identifying 9 as the median. Stop writing immediately when the timer rings. Check your answers against your textbook to see exactly where you lost marks.

Common Mistakes to Avoid

Students frequently lose marks in Data Science due to minor syntax errors in programming. Always check your Python keywords. Remember to use the double equals sign for comparison and a single equals sign for assigning variables.

In the data visualization section, read the axes carefully. Do not confuse the x axis values with the y axis frequencies. In the employability section, use clear points rather than writing a thick paragraph.