IBM Data Engineering Professional Certificate

Colleagues, the “IBM Data Engineering Professional Certificate” will prepare you for a career as a Data Engineer. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required. Master the most up-to-date practical skills and knowledge data engineers use in their daily roles. Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2. Develop working knowledge of NoSQL and Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming. Implement ETLand Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data  Warehouses; create BI reports & interactive dashboards. Acquire highly valuable skills in Generative AI. This program will teach you the foundational data engineering skills employers are seeking for entry level data engineering roles, including Python, one of the most widely used programming languages. You’ll also master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark with hands-on labs and projects. You’ll learn to use Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You’ll work with Relational Databases (RDBMS) and query data using SQL statements and use NoSQL databases as well as unstructured data. You'll also learn how generative AI tools and techniques are used in data engineering. Upon completion, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. Training lessons address: 1) Introduction to Data Engineering, 2) Python for Data Science, AI & Development, 3) Python Project for Data Engineering, 4) Introduction to Relational Databases (RDBMS), 5) Databases and SQL for Data Science with Python, 6) Hands-on Introduction to Linux Commands and Shell Scripting, 7) Relational Database Administration (DBA), 8) ETL and Data Pipelines with Shell, Airflow and Kafka, 9) Data Warehouse Fundamentals, 10) BI Dashboards with IBM Cognos Analytics and Google Looker, 11) Introduction to NoSQL Databases, 12) Introduction to Big Data with Spark and Hadoop, 13) Machine Learning with Apache Spark, 14) Data Engineering Capstone Project, 15) Generative AI: Elevate your Data Engineering Career, and 16) Data Engineering Career Guide and Interview Preparation.

Enroll today (teams & executives are welcome): https://imp.i384100.net/Wyy11e

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)