Foundations of Data Engineering

Course Description

Data engineering is a rapidly expanding tech field, with a high demand for skilled data engineers surpassing the available supply. The core objective of data engineering is to ensure the availability of high-quality data for informed decision-making and fact-finding. This IBM specialization is tailored to assist anyone looking to carve out a career in data engineering by imparting the foundational skills required in this area. There are no prerequisites or prior data engineering experience needed to excel in this course.

This course encompasses five self-paced online modules, each focusing on skills indispensable for data engineering, such as understanding the data engineering ecosystem and lifecycle, Python, SQL, and Relational Databases. These data engineering basics will be taught through immersive video sessions and hands-on practice utilizing real-world databases and tools. The course aims to enhance your understanding of data engineering, provide practical skills applicable to your data career, and lay the groundwork for your journey into data engineering.

Upon successful completion of these courses, you’ll possess the practical knowledge and experience necessary to delve deeper into the world of data engineering and tackle more advanced projects.

What You’ll Learn From This Course

• Gain a working understanding of the Data Engineering Ecosystem and Lifecycle, along with insights and advice from data professionals on establishing a career in this field.
• Master Python programming fundamentals, including data structures, logic, file handling, API invocations, ETL processes, and the use of libraries such as Pandas and Numpy.
• Understand the basics of Relational Databases, including Database Design, Schema Creation, Table Management, Constraints, and hands-on experience with MySQL, PostgreSQL & IBM Db2.
• Learn SQL query language, SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procedures, handling multiple tables, JOINs, and transactions.
• Gain hands-on experience with various real-world databases and tools including MySQL, PostgresSQL, IBM Db2, PhpMyAdmin, pgAdmin, IBM Cloud, Python, Jupyter notebooks, Watson Studio, and more.

Attain a Professional Credential

• Elevate your professional stature by integrating this credential into your LinkedIn, resume, or CV
• Showcase your achievement on your social media networks and use it as a conversation starter in your performance review discussions.