Data Engineer Specialist Certificate

1.Learning Methodology

• Instructor-Led Classroom Training (ILT).

2.Prerequisites:

• Data Science Specialist Certificate

3.Training Program Description:

• Build expertise in data manipulation, visualization, predictive analytics, machine learning, and data science. With the skills you learn in a program, you can launch or advance a successful data career. Start acquiring valuable skills right away, create a project portfolio to demonstrate your abilities, and get support from mentors, peers, and experts in the field. We offer five unique programs to support your career goals in the data science field.
• Become a Data Engineer Data Engineering is the foundation for the new world of Big Data. Enroll now to build production-ready data infrastructure, an essential skill for advancing your data career.
• Objectives: Trainees will learn to
  o Create user-friendly relational and NoSQL data models
  o Create scalable and efficient data warehouses
  o Identify the appropriate use cases for different big data technologies
  o Work efficiently with massive datasets
  o Build and interact with a cloud-based data lake
  o Automate and monitor data pipelines
  o Develop proficiency in Spark, Airflow, and AWS tools

• Duration of Program: 5 weeks

4.Projects

•  This program is comprised of many career-oriented projects. Each project you build will be an opportunity to demonstrate what you’ve learned in the lessons. Your completed projects will become part of a career portfolio that will demonstrate to potential employers that you have skills in data analysis and feature engineering, machine learning algorithms, and training and evaluating models.
• One of our main goals at EAII is to help you create a job-ready portfolio of completed projects. Building a project is one of the best ways to test the skills you’ve acquired and to demonstrate your newfound abilities to future employers or colleagues. Throughout this program, you’ll have the opportunity to prove your skills by building the following projects
•  Building a project is one of the best ways both to test the skills you’ve acquired and to demonstrate your newfound abilities to future employers. Throughout this program, you’ll have the opportunity to prove your skills by building the following projects:

• Project 1: Communicate Data Findings
• Project 2: Data Modeling with Postgres and Apache Cassandra
• Project 3: Data Infrastructure on the Cloud
• Project 4:Automate Data Pipelines
• Capstone Project

5.Training Program Curriculum:

I-DATA ENGINEER TOPICS

• Data Modeling
  • Introduction to Data Modeling
  • Relational Data Models
  • NoSQL Data Models
• Cloud Data Warehouses
  • Introduction to the Data Warehouses
  • Introduction to the Cloud with AWS
  • Implementing Data Warehouses on AWS
• Data Lakes with Spark
  • The Power of Spark
  • Data Wrangling with Spark
  • Debugging and Optimization
  • Introduction to Data Lakes
• Automate Data Pipelines
  • Data Pipelines
  • Data Quality
  • Production Data Pipelines