IBM Data Engineering

Completed by Jaime Raldua

July 18, 2022

Approximately 6 months at 10 hours a week to complete

Course Certificates Completed

Data Engineering and Machine Learning using Spark

Introduction to Big Data with Spark and Hadoop

Hands-on Introduction to Linux Commands and Shell Scripting

Relational Database Administration (DBA)

Introduction to Data Engineering

Python for Data Science, AI & Development

Data Warehouse Fundamentals

ETL and Data Pipelines with Shell, Airflow and Kafka

Introduction to Relational Databases (RDBMS)

Python Project for Data Engineering

Data Engineering Capstone Project

Introduction to NoSQL Databases

Databases and SQL for Data Science with Python

IBM

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View certificate for Jaime Raldua  , IBM Data Engineering, offered through Coursera. In this Professional Certificate, learners developed essential knowledge and skills to perform the many tasks in an entry-level data engineering role.  

By completing over a dozen courses in the program, the earner of this Professional Certificate has demonstrated a firm grasp on and practical experience with fundamentals of Relational Databases, Database Architecture, Design, & Administration, Data Warehousing, Querying databases with SQL and BI Tools, ETL with Python Programming language and Shell Scripts, NoSQL, and Big Data processing using Apache Spark. 

Learners have applied all these skills to complete a Capstone Project involving the design, deployment and management of a complete data engineering platform inspired by a real-world data analytics requirements scenario.

Course Certificates

Earned after completing each course in the Specialization

Data Engineering and Machine Learning using Spark

IBM

Taught by: Karthik Muthuraman & Romeo Kienzler

Completed by: Jaime Raldua by July 15, 2022

3 weeks of study, 1-2 hours/week

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Introduction to Big Data with Spark and Hadoop

IBM

Taught by: Aije Egwaikhide, Romeo Kienzler & Rav Ahuja

Completed by: Jaime Raldua by July 12, 2022

7 weeks of study, 2-4 hours / week

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Hands-on Introduction to Linux Commands and Shell Scripting

IBM

Taught by: Rav Ahuja, Sam Prokopchuk & Ramesh Sannareddy

Completed by: Jaime Raldua by May 1, 2022

4 week of study, 2-3 hours / week

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Relational Database Administration (DBA)

IBM

Taught by: Ramesh Sannareddy & Rav Ahuja

Completed by: Jaime Raldua by May 18, 2022

5 weeks of study, 2-4 hours / week

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Introduction to Data Engineering

IBM

Taught by: Rav Ahuja & Priya Kapoor

Completed by: Jaime Raldua by April 18, 2022

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Python for Data Science, AI & Development

IBM

Taught by: Joseph Santarcangelo

Completed by: Jaime Raldua by January 15, 2022

5 weeks of study, 3-6 hours per week

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Data Warehouse Fundamentals

IBM

Taught by: Ramesh Sannareddy & Rav Ahuja

Completed by: Jaime Raldua by July 4, 2022

3 weeks of study, 2-4 hours/week

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ETL and Data Pipelines with Shell, Airflow and Kafka

IBM

Taught by: Jeff Grossman, Yan Luo, Lavanya Thiruvali Sunderarajan, Ramesh Sannareddy & Sabrina Spillner

Completed by: Jaime Raldua by July 4, 2022

5 weeks of study, 2-4 hours / week

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Introduction to Relational Databases (RDBMS)

IBM

Taught by: Rav Ahuja & Sandip Saha Joy

Completed by: Jaime Raldua by April 26, 2022

4 weeks of study, 2-4 hours/week

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Python Project for Data Engineering

IBM

Taught by: Ramesh Sannareddy, Joseph Santarcangelo & Abhishek Gagneja

Completed by: Jaime Raldua by April 23, 2022

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Data Engineering Capstone Project

IBM

Taught by: Rav Ahuja & Ramesh Sannareddy

Completed by: Jaime Raldua by July 18, 2022

7 weeks of study, 2-4 hours / week

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Introduction to NoSQL Databases

IBM

Taught by: Rav Ahuja, Ramesh Sannareddy, Steve Ryan & Muhammad Yahya

Completed by: Jaime Raldua by July 10, 2022

5 weeks of study, 2-4 hours/week

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Databases and SQL for Data Science with Python

IBM

Taught by: Rav Ahuja & Hima Vasudevan

Completed by: Jaime Raldua by January 15, 2022

6 weeks of study, 2-4 hours/week.

View this certificate