GraceMar-Online-Trainings-and-Certs - Flipbook - Page 9
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IBM Data Engineering Professional
Certificate
Launch your new career in Data Engineering. Master SQL, RDBMS, ETL,
Data Warehousing, NoSQL, Big Data and Spark with hands-on job-ready
skills. Set and maintain flexible deadlines. No degree or prior experience
needed to get started.
7 Months at suggested 3 hours/week
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Build the Skills to Get Job Ready
Hands-On Projects
Earn a Career Credential
This Professional Certificate is for anyone who wants to develop job-ready skills, tools, and a portfolio
for an entry-level data engineer position. Throughout the self-paced online courses, you will immerse
yourself in the role of a data engineer and acquire the essential skills you need to work with a range of
tools and databases to design, deploy, and manage structured and unstructured data. You will use the
Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data.
You will work with Relational Databases (RDBMS) and query data using SQL statements. You will use
NoSQL databases and unstructured data. You will be introduced to Big Data and work with Big Data
engines like Hadoop and Spark. You will gain experience with creating Data Warehouses and utilize
Business Intelligence tools to analyze and extract insights. Each course includes numerous hands-on
labs & projects to apply the concepts and skills you learn. The program will culminate in a Capstone
Project where you will bring together all of these skills to develop and implement an entire data
platform with various data repositories and pipelines to address a real-world inspired data analytics
problem. This program does not require any prior data engineering, or programming experience.
WHAT YOU WILL LEARN
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Create, design, and manage relational databases and apply database administration (DBA)
concepts to RDBMSes such as MySQL, PostgreSQL, and IBM Db2.
Develop and execute SQL queries using SELECT, INSERT, UPDATE, DELETE statements, database
functions, stored procedures, Nested Queries, and JOINs.
Demonstrate working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant,
Hadoop, Apache Spark, Spark SQL, Spark ML, Spark Streaming.
Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data
Warehouses; create BI reports & interactive dashboards.
Applied Learning Project
In the final course in this Professional Certificate, you will complete a Capstone Project that applies
what you have learned to a real-world inspired scenario that requires you to design, deploy and
manage an end-to-end data engineering platform consisting of various Relational (Transactional
Data Warehousing), NoSQL & Big Data repositories as well as data pipelines to connect them.