Parami Liberal Arts and Sciences Fund Partners with DataCamp Donates
DataCamp provides an accessible, cloud-based platform for learning data and AI skills, allowing students to build expertise without needing expensive software. It is trusted by professionals across industries, and through DataCamp Donates, this invaluable resource is available for free to students and professionals who may not otherwise have access to such learning opportunities.Our partnership with DataCamp Donates supports our ongoing mission to level the playing field by ensuring that financial barriers do not prevent students from learning the skills that can open doors to future employment and academic opportunities. DataCamp empowers legally recognized charitable organizations like Parami Liberal Arts and Sciences Fund to manage scholarships and help students from underserved communities gain the knowledge and skills needed to contribute to inclusive, fair AI solutions, promoting greater diversity in the development of AI technologies.
Who Can Apply for DataCamp Licenses?
To apply for a DataCamp Donates license through the Parami Liberal Arts and Sciences Fund, applicants must meet the following minimum requirements:
- English Proficiency: Pre-Intermediate level or higher
- Age: 18 years or older
- Computer Requirements: Minimum 2GB of RAM
- Internet Requirements: At least 2 Mbps
- Commitment: Willingness to complete at least one course
Priority will be given to applicants who fall under the following categories:
- Unemployed or Underemployed Individuals: Those who are currently without a job or working in jobs with insufficient pay or hours
- Individuals Living Below Myanmar’s Poverty Line
- Refugees or Victims of War and/or Environmental Disaster
- People with Disabilities and Members of Historically Disadvantaged Communities
- Students Aged 16–26
- Nonprofit Research Scientists: Particularly those analyzing data related to environmental or health issues
Course highlights
In Datacamp, there different levels of courses in many technologies such as Python , R , Tableau , SQL , Power BI , Git , Docker, Kubernetes and so forth over various topics : Data Engineering , Data Analysis , Artificial Intelligence , Machine Learning , Software Development , Cloud , Probability and Statistics and so on.
Similarly , learners can learn different courses from beginner to advanced level . For example, regarding Python, you will be able to learn from “Introduction to Python” to advanced level courses like Supervised Machine Learning , Natural Language Processing , Reinforcement Learning with Python. Learners can find all courses in the course catalog here.