Data Science Fellowship
The Data Science Fellowship prepares you to enter the data science industry long-term or to upskill yourself in your existing company with industry relevant tools. By the end of the program, you would have completed and presented 5 data science projects to data science experts.
We invite fresh grads, career shifters, job promotion seekers, upskillers, and aspiring data scientists to enroll in this intensive program.
Skills
Machine Learning
Web scraping
Big data
Streamlit
Network Analytics
Python
Data Ethics
Cloud Computing
Requirements
- High-speed and stable internet connection
- Computer or laptop with webcam (Recommended specs: 1.6 GHz processor, 4 GB RAM, and 50 GB hard drive)
- Earphones with microphone
- Apps: Jupyter Notebook through Anaconda (Matplotlib,Pandas, SQL, Scikit-learn, and Streamlit), GitHub Desktop (web version is fine), and Discord (will be used as our communication channel).
Commitment
- Mondays to Fridays (6:00 - 9:00 PM | GMT+8)
- Saturdays (1:00 - 6:00 PM | GMT+8)
The Future You Want
Imagine yourself contributing to a future where data is being used for good, whether it be in the healtcare, e-commerce, environment, political, or cultural sector.
Make your data scientist dreams a reality. Transform the ideas that up until this point have only existed in your head. Design a better tomorrow.
8.98 / 10
Average CSAT
80+
Company partners
50%
Salary Increase
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Create data projects you can readily show off
Data sprints or learning sprints are the building blocks of our bootcamps where you create your data projects.
One sprint = 2 weeks. But the number of managers, teammates, or clients you’ll impress after being trained through a sprint? INFINITE.
Who Our Learners Are
Life post-bootcamp
We cheer for the success of our learners!
Heide Balcera
Basty Vergara
Cohort 8 graduate
What graduates say
Joshua Bernardino
Cohort 7 graduate
Precious Eunice Grullo
Data for Good Scholar
Where our graduates work
Who Our Mentors Are
These are outstanding data professionals with the heart to pay it forward.
Ben Manangu
Senior Transportation Development Officer, Philippine Department of Transportation
“Being a mentor has not only helped me improve my technical and interpersonal skills but has also given me much fulfillment and joy, not to mention even more friends in our ever-growing Philippine data community. Mentoring for Eskwelabs has been some of the most fun I’ve ever had while making a profound impact on the lives of others."
Franz Taborlupa
Data scientist at Swarm
“I’ve always loved learning. Being a mentor at Eskwelabs gave me the opportunity to continue that love by sharing it with other passionate learners while also advancing my career. I was able to continue improving my skills and experience different perspectives towards fruitful discussions and impactful projects by my mentees.”
Where our mentors work
Application
Sign up for a 1-on-1 consultation call with our Admissions Team, to discuss any concerns about the application process, financing options, scholarships, job interview guarantees, and the program itself.
1. Online application
Click "APPLY NOW" on this page to kick-off the application process. You will be led to the Aral-Aral for Data Science Learning Management System (LMS). Aral-Aral for Data Science is the free prep course that comes with your application to the Data Science Fellowship.
2. Assessment
Complete the assessment exam. This exam helps us understand your current skill levels and is meant to set a baseline for your starting point. You can find this assessment exam, called "Pathfinder," inside the Aral-Aral for Data Science LMS. Inside Aral-Aral for Data Science, click "Curriculum" on the left side bar and at the top of the page you will see "Take Pathfinder assessment exam."
3. Fit interview
Complete a fit interview with a member from our team. This is a short interview for us to get to know you better and your motivations to join the program.
4. Tuition payment
Complete your tuition payment (given your chosen payment method) and complete the signing of your contract. Our team will review your entire application and inform you of your status in 1-2 weeks.
Special case: Company discounts
There are only 4 steps in our Application Process (Online application, Assessment, Fit Interview, and Tuition Payment), but we do have a discount for those who will be company sponsored. Kindly contact us via [email protected] or by booking a call here.
