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    Data Analytics Apprenticeship - Miami, United States - Ironhack

    Ironhack
    Ironhack Miami, United States

    1 week ago

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    Description

    Job Description

    Job Description

    About the opportunity

    IronHack's Technology Apprenticeship is an opportunity for STEM college graduates to start their careers in tech. We know it can feel like college didn't prepare you for the real world. That's why new hires will receive 9 weeks of technical training, career mentorship, and join the 10,000+ 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 be reviewing resumes ASAP

    The course will be from Monday to Friday from 9:00 am to 6:00 pm 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?

    • Bachelors or Masters in IT, STEM or Data Analytics.
    • 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.
    • Have a work permit to work in the United States: IronHack cannot provide sponsorship for the US.
    • Live in Miami-Dade county.
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