Data Science Class 09 Syllabus

The syllabus consists four units: (i) Introduction (8 marks) (ii) Arranging and Collecting Data (8 marks) (iii) Data Visualizations - Part 1 (20 marks) (iv) Ethics in Data Science.

1. Introduction

  1. What is data?
  2. Data vs. Information
  3. Data Information Knowledge Wisdom (DIKW model)
  4. How data influence our lives?
  5. What are data footprints?
  6. Data loss and recovery

2. Arranging and Collecting Data

  1. Introduction
  2. What is data collection?
  3. Variables
  4. Types of data
  5. Sources of data
  6. What is Big Data?
  7. Questioning your data
  8. Univariate and multivariate data

3. Data Visualizations - Part 1

  1. Introduction
  2. Importance of data visualization
  3. Plotting data
  4. Histograms
  5. Use of shapes
  6. Use of Single and Multi-Variable plots

4. Ethics in Data Science

  1. Introduction
  2. Ethical guidelines around data analysis
  3. Need for ethical guidelines
  4. Goals of Ethical guidelines
  5. Data governance framework
  6. Need to govern data
  7. Goals of data governance
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