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Undergraduate Certificate in Data Science for Social Good.
The course equips students with data science skills to address social issues, promoting positive impact through analytical techniques and real-world applications.
1399 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
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2 months to complete
at 2-3 hours a week
Overview
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Learning outcomes
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Course content
1
Introduction To Data Science
2
Data Analysis And Visualization
3
Statistical Methods For Social Research
4
Machine Learning For Social Impact
5
Ethics In Data Science
6
Data-Driven Decision Making
7
Social Media Analytics
8
Geospatial Data Analysis
9
Big Data Technologies
10
Capstone Project In Data Science For Social Good
Career Path
Key facts
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Why this course
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People also ask
There are no formal entry requirements for this course. You just need:
- A good command of English language
- Access to a computer/laptop with internet
- Basic computer skills
- Dedication to complete the course
We offer two flexible learning paths to suit your schedule:
- Fast Track: Complete in 1 month with 3-4 hours of study per week
- Standard Mode: Complete in 2 months with 2-3 hours of study per week
You can progress at your own pace and access the materials 24/7.
During your course, you will have access to:
- 24/7 access to course materials and resources
- Technical support for platform-related issues
- Email support for course-related questions
- Clear course structure and learning materials
Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.
Assessment is done through:
- Multiple-choice questions at the end of each unit
- You need to score at least 60% to pass each unit
- You can retake quizzes if needed
- All assessments are online
Upon successful completion, you will receive:
- A digital certificate from London School of Planning and Management
- Option to request a physical certificate
- Transcript of completed units
- Certification is included in the course fee
We offer immediate access to our course materials through our open enrollment system. This means:
- The course starts as soon as you pay course fee, instantly
- No waiting periods or fixed start dates
- Instant access to all course materials upon payment
- Flexibility to begin at your convenience
This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.
Our course is designed as a comprehensive self-study program that offers:
- Structured learning materials accessible 24/7
- Comprehensive course content for self-paced study
- Flexible learning schedule to fit your lifestyle
- Access to all necessary resources and materials
This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.
This course provides knowledge and understanding in the subject area, which can be valuable for:
- Enhancing your understanding of the field
- Adding to your professional development portfolio
- Demonstrating your commitment to learning
- Building foundational knowledge in the subject
- Supporting your existing career path
Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.
This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/body.
What you will gain from this course:
- Knowledge and understanding of the subject matter
- A certificate of completion to showcase your commitment to learning
- Self-paced learning experience
- Access to comprehensive course materials
- Understanding of key concepts and principles in the field
While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.
Our course offers a focused learning experience with:
- Comprehensive course materials covering essential topics
- Flexible learning schedule to fit your needs
- Self-paced learning environment
- Access to course content for the duration of your enrollment
- Certificate of completion upon finishing the course
Why people choose us for their career
James Thompson
GBI can't recommend Stanmore's Undergraduate Certificate in Data Science for Social Good enough. The course materials were top-notch and the projects we worked on were incredibly relevant to real-world issues. I gained practical skills in data analysis, machine learning, and ethical considerations in data science, all of which have helped me secure a job in the social sector. The course has exceeded my expectations and I'm grateful for the opportunity to have taken it.
Clara Lee
USThis course is a must for anyone interested in using data science for the greater good! I learned so much about data visualization, statistical analysis, and data ethics. The course content was engaging, and the professors were knowledgeable and supportive. I especially appreciated the opportunity to work on a final project that allowed me to apply what I learned in a real-world setting. I only wish there were more opportunities for group work throughout the course.
Ravi Patel
INStanmore's Undergraduate Certificate in Data Science for Social Good is a fantastic course that has helped me develop a solid foundation in data science concepts and techniques. The course is well-structured, and the materials are relevant and up-to-date. I particularly enjoyed the hands-on exercises and case studies that allowed me to apply what I learned in a practical way. I feel well-prepared to tackle real-world data science challenges and make a positive impact in my community.
Sophia Rodriguez
ESI was blown away by the quality and depth of the content in Stanmore's Undergraduate Certificate in Data Science for Social Good. The course has helped me develop a wide range of skills, from data cleaning and preprocessing to machine learning and data visualization. The professors were passionate and knowledgeable, and the assignments were challenging yet rewarding. I only wish there were more opportunities for individual feedback and mentorship throughout the course.