DATA ENGINEERING


CLASS DATES TO BE ANNOUNCED SOON

APPLICATIONS FOR OUR NEXT COHORT ARE OPEN NOW
APPLY TODAY

Course Overview

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Before miners and analysts create charts and visuals to explain information, Big Data Scientists and Engineers manage and refine the data they review. These scientists and engineers handle large sets of raw data and are the masters of the matrix.

In this course, you will learn the basics of Big Data and Hadoop technologies through hands-on classroom activities, case studies and more. You will learn how to extract, scrub and manipulate real-time and warehouse data using Python, PySpark, MongoDB, noSQL and MariaDB, properly define a problem and design tests that yield valid solutions, and prepare large sets of data for effective and efficient use by analysts. 

Our full immersive program will expose you to the following technologies: Java, MariaDB, Shell Scripting, SDLC and Coding Practices, Data Modeling and Warehousing, Hadoop, ETL, Talend, Map Reduce, Data Transfer (Sqoop), and Hive


SNAPSHOT

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  • Location: 804 E. 138th St, Floor 2, Bronx, NY 10454

  • Duration: 12 week intensive

  • Hours: Monday - Friday, 9:00am – 5:00pm

  • Outcomes: Hands-on experience and workplace exposure

  • Cost: Tuition, materials and hardware are offered at no cost

  • Additional Services: Career counseling & connections to employment

 

CURRICULUM

Application Details

 

Minimum Eligibility Requirements

  • Must have at least a bachelor’s degree

  • Must be authorized to work in the United States without visa sponsorship (presently or in the future)

  • Must be willing to relocate for post-training employment opportunities

Ideal Candidates

Ideal candidates will be organized, agile individuals interested in business processes, client management, software testing automation, and technology applications and systems. To be successful, candidates need to posses computational thinking and self-teaching skills, do well in fast-paced environments and be able to learn new technologies quickly.

Professional Experience

Professional, academic and/or hands on experience should include one or more years of experience with:

  • Object Oriented Programming languages (Java, C#, Python, R, SQL and/or Oracle)

Familiarity with the following technologies is also preferred:

  • Linux command line instructions (beginner level at minimum)

  • SQL Query construction

  • Spreadsheets (Excel, Sheets, Numbers) + Dynamic Tables and Data Formulas

  • Data warehousing, Apache Spark, HDFS


STRENGTHEN YOUR APPLICATION

The following courses will provide more insight into Platform by per scholas coursework and requirements.

we suggest you review these topics and complete these courses to prepare you for DATA ENGINEERING.

PREP FOR YOUR IN-CLASS UNITS:

Learn Linux/Unix

The Ultimate Hands-On Hadoop-Tame

Shell Scripting: Discover How to Automate Command Line Tasks

 

ALL COURSE FUNDAMENTALS:

 Oracle SQL - Step by Step SQL

User Stories for Agile Scrum + Product Owner + Business Analysis

Project Management + SDLC Models and Methodology

Unified Modeling Language (UML)

Business Analysis Fundamentals + SDLC

Web Dev Boot Camp 

Courses are provided by Udemy.com

 

 

 


APPLY TODAY!


Please keep in mind, this application process is very competitive and not all applicants will be accepted for our limited slots.


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Curriculum developed in partnership with Cognizant Technology Solutions

Curriculum developed in partnership with Cognizant Technology Solutions