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Data Science for Social Good: Using Data to Drive Positive Impact


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Course Level


Total Hour


Video Tutorials


Course content


Week 1:

Introduction to data science for social good
Understanding social problems and identifying opportunities for data-driven solutions
Data collection, data cleaning, and data preprocessing
Exploratory data analysis and visualization
Introduction to statistical inference

Week 2:

Week 3:

Week 4:

About Course

Data science for social good refers to the use of data analysis, machine learning, and other data-driven methods to address social and humanitarian issues. The field combines data science expertise with social impact goals to tackle problems in areas such as public health, education, poverty, and environmental sustainability. The goal is to use data and analytics to inform decision-making, optimize resource allocation, and ultimately drive positive change in society.

There are several online courses, workshops, and boot camps that offer training in data science for social good. These courses are designed to provide participants with the knowledge and skills to apply data science techniques to solve real-world problems. Some of these courses focus on specific topics, such as data ethics, while others offer a more comprehensive curriculum covering data analysis, machine learning, and data visualization.

If you have any specific questions about a particular course, please let me know and I’ll do my best to provide more information.

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What Will You Learn?

  • Introduction to Data Science for Social Good
  • Data Collection and Preprocessing
  • Data Analysis and Visualization
  • Impact Evaluation
  • Case Studies and Real-World Examples

Material Includes

  • Live Classes 2Hr Daily
  • Flexibility
  • Accessible Learning Materials
  • Sharable Certificate


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Material Includes

  • Live Classes 2Hr Daily
  • Flexibility
  • Accessible Learning Materials
  • Sharable Certificate

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