BI Foundations with SQL, ETL, and Data Warehousing is a specialized program offered by IBM, providing essential skills for data professionals. This course covers SQL, ETL, Enterprise Data Warehousing, Business Intelligence, and Data Analysis, making it an ideal choice for individuals aiming to pursue careers in data engineering, management, BI, or data analytics.
The course is designed to be accessible for learners with basic computer and data literacy, and it emphasizes hands-on practice with real tools used by data professionals. Throughout the program, learners will engage in numerous hands-on labs and a course project to apply their knowledge and skills.
Upon completion of this specialization, learners will be equipped with the necessary skills to excel in data engineering, data management, BI, and data analytics roles, with a strong emphasis on practical application and hands-on experience.
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The BI Foundations with SQL, ETL, and Data Warehousing specialization consists of four comprehensive online courses that cover essential topics such as SQL, Linux commands and shell scripting, ETL and data pipelines, and data warehousing and BI analytics.
Hands-on Introduction to Linux Commands and Shell Scripting provides learners with a comprehensive understanding of Linux architecture and common distributions, as well as practical skills in using Bash shell commands and developing shell scripts. Additionally, learners will gain proficiency in scheduling cron jobs in Linux.
Databases and SQL for Data Science with Python covers the fundamentals of analyzing data within a database using SQL and Python, creating and working with relational databases, and constructing intermediate-level SQL queries with DML commands and advanced techniques.
ETL and Data Pipelines with Shell, Airflow, and Kafka delves into the concepts of ETL and ELT processes, batch vs concurrent execution modes, and the implementation of ETL pipelines through shell scripting. Learners will also gain a comprehensive understanding of data pipeline components, processes, tools, and technologies.
Getting Started with Data Warehousing and BI Analytics explores the architecture, features, and benefits of data warehouses, data marts, and data lakes. Learners will also develop skills in designing, populating, and querying data warehouses, as well as creating data visualizations using IBM Cognos Analytics.
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