Page 10 - Data Science class 10
P. 10
Part-B Subject Specific Skills
Unit-1 Use of Statistics in Data Science 113
1.1. What are Subsets?
1.2. Some Methods of Subsetting
1.3. One-Way Frequency Table
1.4. Two-way frequency Table
1.5. Central Tendency
1.6. Standard Deviation
Unit-2 Distributions in Data Science 137
2.1. What is Distribution in Data Science?
2.2. Types of Distributions
2.3. Statistical Problem Solving Process
2.4. Activity - Choosing Groups for School Dance Program
Unit-3 Identifying Patterns 160
3.1 Facts and Opinion
3.2. What is Partiality, Preference and Prejudice?
3.3. How to Identify the Partiality, Preference and Prejudice?
3.4. Probability for Statistics
3.5. What Is a Sampling Error?
3.6. The Central Limit Theorem
3.7. Why is the Central Limit Theorem Important?
Unit-4 Data Merging 178
4.1. Overview of Data Merging
4.2. Data Joins
4.3. What is Z-Score?
4.4. Concept of Percentile
4.5. Quartiles
4.6. Deciles
Unit-5 Ethics in Data Science 193
5.1. Data Governance Framework
5.2. Ethical Guidelines Around Data Analysis
5.3. Discarding the Records having Useful Data
Part-C Practical Work
Practical Questions 205
Viva Voce Questions 209
Projects 211
Glossary 215
CBSE Sample Question Paper 216
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