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Data Science

IBM Data Engineering Professional Certificate

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Gain practical skills in relational and NoSQL databases, Big Data tools, and data pipelines for comprehensive data engineering tasks.

Key AI Functions:Data Science,Data Analysis,Python Programming,ETL & Data Pipelines,NoSQL and Big Data,SQL,Apache Spark,Database (DBMS),Systems (RDBMS),Relational Database Management Systems (RDBMS)

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Description for IBM Data Engineering Professional Certificate

Features of Course

Acquire the most current practical skills and knowledge that data engineers employ in their daily work.

Acquire the ability to design, manage, and create relational databases, as well as to apply database administration (DBA) concepts to RDBMSs like IBM Db2, PostgreSQL, and MySQL.

Cultivate a comprehensive understanding of NoSQL and Big Data by utilizing Apache Spark, Spark SQL, Spark ML, and Spark Streaming, as well as MongoDB, Cassandra, Cloudant, and Hadoop.

Execute ETL and data pipelines using Bash, Airflow, and Kafka; architect, populate, and deploy data warehouses; generate interactive dashboards and business intelligence reports.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by IBM

Duration: 5 months; Approx. 10 hours a week

Schedule: Flexible

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