What you will learn?

Understand data storage and management s y stems: Learn about the different t y pes of data storage and management s y stems , including relational databases , NoSQL databases , and data warehouses

Design and build data pipelines: Learn how to design and build data pipelines to ex tract data, load it into a target s y stem , and transform it into a usable format ETL ((Ex tract, Transform , Load) , ELT (Ex tract, Load, Transform)) , understand the process of integrating data from various sources

Master data modeling and schema design: Understand data modeling and schema design concepts and learn how to create efficient and effective data models and schemas

Learn how to use Py thon for Data preparation and anal y sis , leveraging Pandas and NumPy Libraries

Learn how to use SQL for data anal y sis and reporting

Master big data technologies: Understand big data technologies like Hadoop , Spark, and Kafka, and learn how to use them for processing large volumes of data

Gain an overview of data qualit y and data governance policies and procedures

Learn about data security and privacy : Learn authentication and authorization which are important for data security and privacy

Develop problem-solving skills: Develop problem-solving skills that are necessary to identify , troubleshoot, and resolve data engineering challenges and issues.

Learn about the modern cloud data stack and get familiarized with AWS tools such as S3, Lambda, Glue, Redshift.