Digital Learning Skills & Enrichment Initiative is a programme spearheaded by the Higher Education Commission of Pakistan in partnership with Coursera, a renowned online learning platform of global repute.
Coursera is an online learning platform featuring many different subjects across an array of learning formats, such as courses, Specializations, Professional Certificates, degrees, and tutorials. Over 300 leading universities and companies provide instruction on Coursera, including Stanford, Duke, Illinois, University of Colorado Boulder, Google, IBM, Microsoft, and Meta.
Acquire job-relevant skills quickly in a two-hour interactive session with a subject matter expert. Access resources in your web browser and follow step-by-step guidance for project execution.
Professional Certificates on Coursera provide skills for career advancement through self-paced learning from top companies and universities. Completing practical projects showcases expertise to potential employers, helping launch your professional journey.
Specialization programs refine career skills through structured curriculums with challenging courses and practical projects. Completion results in a Specialization Certificate for professional recognition.
Digital Learning Skills & Enrichment Initiative is a programme spearheaded by the Higher Education Commission of Pakistan in partnership with Coursera, a renowned online learning platform of global repute.
Coursera is an online learning platform featuring many different subjects across an array of learning formats, such as courses, Specializations, Professional Certificates, degrees, and tutorials. Over 300 leading universities and companies provide instruction on Coursera, including Stanford, Duke, Illinois, University of Colorado Boulder, Google, IBM, Microsoft, and Meta.
Acquire job-relevant skills quickly in a two-hour interactive session with a subject matter expert. Access resources in your web browser and follow step-by-step guidance for project execution.
Professional Certificates on Coursera provide skills for career advancement through self-paced learning from top companies and universities. Completing practical projects showcases expertise to potential employers, helping launch your professional journey.
Specialization programs refine career skills through structured curriculums with challenging courses and practical projects. Completion results in a Specialization Certificate for professional recognition.
DLSEI 3.0 Cohort 3 registration has been closed.
Included with DLSEI 3.0
Learn, practice, and apply job-ready skills with expert guidance
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Domain
In this coding challenge, you'll compete with other learners to achieve the highest prediction accuracy on a machine learning problem. You'll use Python and a Jupyter Notebook to work with a real-world dataset and build a prediction or classification model. Important Information: How to register? To participate, you’ll need to complete simple steps. First, click the “Start Project” button to register. Next, you’ll need to create a Coursera Skills Profile, which only takes a few minutes. We’ll send you a profile link the week of the challenge. When does the challenge start? The coding challenge begins Friday, June 30th, at 8 AM (PST) and closes Sunday, July 2nd, at 11:59 PM (PST). If you’re registered, you’ll receive a reminder email on the challenge start date. Please note this is a timed competition. Once the challenge is unlocked, you’ll have 72 hours to complete it. You can submit as many times as you would like within this timeframe. What will the winners receive? Participants will be evaluated based on their model’s prediction accuracy. The top 20% of participants will receive an achievement badge on their Coursera Skills Profile, highlighting their performance to recruiters. The top 100 performers will get complimentary access to select Data Science courses. All participants can showcase their projects to potential employers on their Coursera Skills Profile. Winners will be notified by email the week of July 17th. Good luck, and have fun!
Data Science
Predictive Modeling
Business Analytics
Advanced Analytics
Predictive Analytics
Data Analysis