E is For Eskwelabs Issue 006 - Closing Chapters, Beginning New Ones 👨💻📖👩💻
In our sixth issue, we highlight our Data Science Cohort IV Fellows and their journey as the very first COVID Cohort. Here we also share details for Cohort V—yes, admissions is now ongoing!
We created this newsletter to keep our alums, partners, and anyone interested in learning skills for the future of work updated and connected to our ever-growing family. If you want to read our previous issues, you can check them out here.
Hi, Francine here! This week's issue highlights Data Science Fellows - past, present and future! Read on to see what it takes to be one of our Fellows. 🤗
What's in this newsletter:
PAST
📖 Read about the journey of long-time Eskwelove David Daza, who is our BI SkillsCamp Cohort I Student-turned-Data Science Bootcamp Cohort IV Fellow
👀 View the recorded demo day livestream sessions: Everyday Data and Data for Good
PRESENT
📽️ Watch "A Day in the Life of a Fellow: Online Edition," a short video that documents the journey of DS Bootcamp's Cohort IV, also known as the COVID Cohort
🤩 Take a look at Cohort IV's Capstone projects
FUTURE
🎉 Apply for DS Bootcamp Cohort V—REGISTRATION IS OPEN!
What does a day in the life of an Eskwelabs Fellow look like? (Quarantine Edition!) 😲
The COVID-19 pandemic has changed the Eskwelabs set-up from blended learning to a fully virtual one. Here's the story of the 19 Eskwelabs Data Science Fellows who survived COVID-19 together - that's why we call them: #ESK19
Hear it directly from one of them! Interview with David Daza, Cohort IV Fellow 🤔
"In my ongoing Data Science journey, I have tried a lot of things like online courses, reading books, watching YouTube, short courses, and others—you name it! I have tried them but I still felt they were missing something foundational. As I continued searching and tried adding value to myself, I luckily found Eskwelabs through my Google search. ... I just loved the community that Eskwelabs created; it attracts passionate learners. They don’t discriminate if you are an undergraduate, fresh graduate, or career shifter. I believe in what they are trying to accomplish: to produce a well-rounded and equipped data scientist with the help of their philosophy of blended learning." —David Daza
📖 Read his full interview here.
Did you miss Cohort IV's Data Science Demo Weekend? 😅
⛅ Everyday Data | Afternoon session
👀 View the recorded livestream session here.
🌙 Data for Good | Evening session (with Omdena)
👀 View the recorded livestream session here.
From identifying Twitter trolls to predicting rice yield, it's safe to say that we have a diverse group of Fellows who want to make an impact using their newly acquired and strengthened data science skills. 💻 Check out Data Science Bootcamp Cohort IV's capstone projects here.
Become the Next Eskwelabs Fellow 🎉
📣 ADMISSIONS IS OPEN!
Ready to join Eskwelabs as a Data Science Fellow? Admissions for Cohort V is open! The Eskwelabs Data Science Fellowship is a 12-week part-time program that launches junior data scientist careers in the Philippines. While 90% of our past Fellows were placed 90 days within graduation and where they saw an average of 1.5x increase in their pay, almost all Fellows say that the most valuable part of their experience is the authentic connections that they make with each other.
But what about blended learning? Most classes are now online with opportunities to come together during hackathons (COVID situation pending!). The Fellowship has a competitive admission process, but you don't need to have previous coding experience—what matters is a growth mindset and grit to succeed. If that sounds like you, apply here and start with our free pre-course: https://bit.ly/DSCohort5
IN CASE YOU MISSED IT 💻
Free Aral-Aral Courses with Learning Circles
Business Intelligence SkillsCamp to Become a Data Analyst
Learn more about BI SkillsCamp and how you can apply to Module 2 (which starts on August 17):
📍 Program brochure || 📍 Updated modules list || 📍 Study Now, Pay Later option
That’s it for our sixth issue of the newsletter! Thank you for reading, we hope what you read and watched inspired you to explore a potential career in data science today. 😊
Have something to share? We encourage you to give us feedback and ideas (you may do so here) and if you like it, please share it with a friend!
Have a good Sunday! See you again in your inbox next, next week!
💌 Cheering you on always,
Francine
Community Producer at Eskwelabs