Data Analytics Apprenticeship

About the opportunity

IronHack’s Tech Scholarship is an opportunity for Puerto Rican talent to start their careers in tech. Together with the Department of Economic Development and Commerce under the 21st Century Techforce initiative, we offer a fully covered tuition scholarship for a tech bootcamp. Technology is changing continuously, and the goal is to keep the local talent up to speed with the most demanded skills. The scholars receive 9 weeks of technical training, career mentorship, and join the 20,000+ IronHack Alumni all over the world.

Those who are selected will be given a scholarship to attend 9 weeks of hands-on technical training led by IronHack's award-winning teachers and programs. The curriculum is designed to train you to become a Data Analyst, learning Python, SQL, machine learning, data visualization and data engineering.

Without a doubt this program will fast track your career trajectory for the digital transformation.

The upcoming training launches on April 29th, so we will review applications as soon as possible, with a deadline of April 15th.

The course will be from Monday to Friday, 9:00 a.m. to 6:00 p.m. (EST), with an hour for lunch.

What you will learn as a future Data Analyst?

• Conduct exploratory data analysis; use statistics to understand the nature of data.
• Apply probabilistic thinking to your analysis using intermediate-level statistics: descriptive stats, inferential stats, probability distributions, etc.
• Write simple to complex queries in SQL to extract information from databases in order to manipulate data: SQL clauses, joins, subqueries, stored procedures, functions.
• Manage end-to-end ETL (extract-transform-load) Pipeline: APIs; WebScrapping.
• Use storytelling and data visualization to increase engagement, understanding, and impact of your presentations.
• Use Tableau as a business intelligence tool: build reports, stories, and dashboards.
• Use Python coding for processing data: Regular expressions, functional programming, Lambda, map, reduce, filter, error handling, OOP.
• Use Pandas, Seaborn, Matplotlib, Scikit Learn, and other popular libraries to build your analysis with Python.
• Build different machine learning models (supervised and unsupervised) to make predictions, compare different models, and choose the best performing model.

What are we looking for?

• Have a work permit to work in Puerto Rico: IronHack cannot provide sponsorship or visas.
• Bachelors or Masters in IT or STEM.
• Availability to take the course full time for 9 weeks. The course will be from Monday to Friday from 9:00 am to 6:00 pm with an hour for lunch.
• Must have a go-getter attitude and be open to operating in a fast-past environment.
• Live in Puerto Rico.