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Business & Management
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Data Engineering

Professional Certificate programs are series of courses designed by industry leaders and top universities to build and enhance critical professional skills needed to succeed in todays most in-demand fields.

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Data Engineering

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  • icon6 months at 2 - 8 hours per week
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  • iconOnline - Self Paced
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About Data Engineering

IBM's Data Engineering Professional Certificate

Data Engineering Basics for Everyone

Python Basics for Data Science

Python for Data Engineering Project

Relational Database Basics

SQL for Data Science

SQL Concepts for Data Engineers

Linux Commands & Shell Scripting

Relational Database Administration (DBA)

Building ETL and Data Pipelines with Bash, Airflow and Kafka

Data Warehousing and BI Analytics

NoSQL Database Basics

Big Data, Hadoop, and Spark Basics

Apache Spark for Data Engineering and Machine Learning

Data Engineering Capstone Project

Job Outlook

What You Will Learn?

  • Describe the core concepts, processes, tools and technologies in the field of data engineering..
  • Demonstrate your aptitude with RDBMS fundamentals including design & creation of databases, schemas, tables; DB administration, security & working with MySQL, PostgreSQL & IBM Db2..
  • Demonstrate your proficiency with SQL query language, SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procs, working with multiple tables, JOINs, & transactions..
  • Explain NoSQL and big data concepts including practice with MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, Spark Streaming..
  • Describe ETL tools, data pipelines using Python, shell scripts with Linux, Apache Airflow and Apache Kafka..
  • Describe Data Lakes, Data Marts and Enterprise Data Warehouses (EDW) and design them using Star and Snowflake schemas..
  • Design and populate Data Warehouses and analyze their data with Business Intelligence (BI) tools like Cognos Analytics..