Course

Unit 1

Data collection and management

Types of social data; Data collection tools and digitalisation (Google form, Survey CTO, Kobo Toolbox, ArcGIS Field Maps); Ethical considerations

Unit 2

Introduction to Exploratory data analysis and Data Visualization

Data cleaning; Descriptive statistics; Univariate analysis; Handling missing data; Types of visualizations; types of charts and graphs; ethics and principles

Unit 3

Introduction to Data Visualization

Microsoft Excel; Google Maps; Tableau Public; Writing inferences and reports; QDA Minor Lite (free-software for data management and basic visualisation)

Text Books / References

References:

• QDA Minor Lite: https://provalisresearch.com/products/qualitative-data-analysis-software/freeware/
• QGIS

Course Objectives:

1. Gain comprehensive Understanding of social data.
2. Gain proficiency in Data Collection Tools and understand the ethical consideration behind the tools
3. Introduce the principles of exploratory data analysis (EDA) and provide a foundation in data cleaning, descriptive statistics, and basic analysis.
4. Introduce various data visualization techniques (QDA Minor Lite), including handling missing data, types of visualizations, and the ethical principles associated with data visualization.

Course Outcomes:

1. CO1: A solid foundation in social data collection, management, exploratory data analysis, and data visualization, emphasizing both theoretical understanding and practical skills using relevant tools
2. CO2: Gains hands-on experience with popular data collection tools like Google Forms and Survey CTO
3. CO3: Gains hands-on experience with popular data visualization tools such as Microsoft Excel, Google Maps, and Tableau Public.
4. CO4: Ability to write clear and insightful reports based on data analysis and effectively communicate findings.

Skills:

• Experience in data collection and fundamental analysis
• Configurations of digitalisation tools like google forms and survey CTO
• Graphs and plots using Google Spreadsheets and Tableau.
• Writing data analysis inferences.

CO-PO Mapping: