Lo que aprenderás
- Create shell scripts using common Linux/UNIX shell commands.
- Describe relational database concepts, create a relational database on cloud, execute SQL statements, and access databases using SQL.
- Build batch and streaming ETL and ELT Data Pipelines using Bash, Apache Airflow and Kafka.
- Design, model, and implement a data warehouse and analyze its data using Business Intelligence tools like IBM Cognos.
Organizations understand that data creates enormous value when transformed into Business Intelligence (BI). Data Warehousing Engineers, Data Analysts, and BI professionals play a critical role in enabling organizations to derive value out of data and therefore are in high demand.
This Professional Certificate is designed to provide you the skill set and hands-on experience for working with data warehouses and BI tools.
You’ll gain proficiency with Linux Commands and Bash shell scripting, create data pipelines to perform ETL (extract, transform, load), design and populate data warehouses and analyze data using SQL queries and business intelligence tools.
Each course within this Professional Certificate provides hands-on experience with practice labs and real-world projects to add to your portfolio. Skills you will gain include SQL, Python, ETL Pipelines, Bash Shell Scripting, Linux/UNIX shell commands and scripting, Cron, Crontab, Apache Airflow, Apache Kafka, IBM DB2, MySQL, PostgreSQL, and Cognos Analytics.
To get started, all you need is basic computer and data literacy, familiarity with either Linux, Unix, Windows, or MacOS, and the desire to learn and practice new skills.
Cursos en este programa
Certificación Profesional en SQL, ETL and BI Fundamentals de IBM
- 3–4 horas por semana durante 1 semanas
This mini-course describes shell commands and how to use the advanced features of the Bash shell to automate complicated database tasks. For those not familiar with shell scripting, this course provides an overview of common Linux Shell Commands and shell scripting basics.
- 2–4 horas por semana durante 5 semanas
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.
- 2–4 horas por semana durante 5 semanas
This course provides you with practical skills to build and manage data pipelines and Extract, Transform, Load (ETL) processes using shell scripts, Airflow and Kafka.
- 2–3 horas por semana durante 6 semanas
This course introduces you to designing, implementing and populating a data warehouse and analyzing its data using SQL & Business Intelligence (BI) tools.
- According to Glassdoor, the average annual salary for a Data Warehouse Engineer in the U.S. is $103,000.
- The average base salary in the U.S. for a Business Intelligence Analyst is $88,221 according to Indeed.
- Research and Markets estimates the global market for the data warehouse as a service (DWaaS) is estimated to grow from $1.7 billion in 2021 to $4.5 billion by 2026, at a compound annual growth rate (CAGR) of 21.7% from 2021-2026.
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