Our Data Pipeline Methods and Techniques course introduces you to the fundamental concepts of data pipelines, which are critical for transforming raw data into meaningful insights. Key topics include data ingestion (collection), data integration (ETL), data profiling and cleansing, and data preparation and analysis. Start with an overview of the data pipeline process, including the various stages involved in the process, and delve into the technical aspects of the individual stages. Then explore the different methods and techniques used to carry out each stage, and discuss how different types of data can be processed in a data pipeline. This data pipeline course is interactive and provides you with hands-on experience using popular data pipeline tools (like SQL and Microsoft Power BI) to build data pipelines for various data formats. Get the skills you need to be able to design and implement data pipelines for various types of data, and gain a deep understanding of how to transform raw data into meaningful insights.
If you are completing our Data Engineering Program, you must complete all the other core courses in the program before you take this course.
The Microsoft Power BI software used in this course only runs on the Windows operating system. To learn how you can set up a Windows environment on your Macintosh, refer to the Hardware note on our Online Course Requirements and LMSs web page.
Hours and Fees
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