Applied Data Science for Social Impact
( 25 Modules )

Module #1
Introduction to Data Science for Social Impact
Overview of the course and the role of data science in driving social change

Module #2
Defining Social Impact
Understanding the concept of social impact and its relevance in data science

Module #3
Data Science in the Social Sector
Exploring the applications of data science in the social sector

Module #4
Ethics in Data Science for Social Impact
Ethical considerations in data science for social impact

Module #5
Case Studies in Data Science for Social Impact
Real-world examples of data science projects driving social impact

Module #6
Data Sources for Social Impact
Identifying and collecting data for social impact projects

Module #7
Web Scraping for Social Good
Using web scraping techniques to collect data for social impact

Module #8
APIs and Data Sharing
Working with APIs and data sharing platforms for social impact

Module #9
Data Cleaning and Preprocessing
Best practices for cleaning and preprocessing data for social impact

Module #10
Data Quality and Validation
Ensuring data quality and validation for social impact projects

Module #11
Descriptive Statistics for Social Impact
Using descriptive statistics to understand social impact data

Module #12
Data Visualization for Social Impact
Effective data visualization techniques for social impact

Module #13
Inferential Statistics for Social Impact
Applying inferential statistics to social impact data

Module #14
Machine Learning for Social Impact
Introduction to machine learning for social impact

Module #15
Unsupervised Learning for Social Impact
Using unsupervised learning to identify patterns in social impact data

Module #16
Natural Language Processing for Social Impact
Applying NLP to social impact projects

Module #17
Geospatial Analysis for Social Impact
Using geospatial analysis to understand social impact data

Module #18
Time Series Analysis for Social Impact
Analyzing time series data for social impact

Module #19
Causal Inference for Social Impact
Using causal inference to evaluate social impact interventions

Module #20
Big Data and Social Impact
Working with big data for social impact projects

Module #21
Implementing Data Science Projects for Social Impact
Best practices for implementing data science projects for social impact

Module #22
Scaling Data Science for Social Impact
Scaling data science projects for social impact

Module #23
Collaborating with Stakeholders
Working with stakeholders to drive social impact

Module #24
Communicating Data Insights for Social Impact
Effective communication of data insights for social impact

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Applied Data Science for Social Impact career

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Applied Data Science for Social Impact ( 25 Modules )

Applied Data Science for Social Impact
( 25 Modules )