Certificate in Command Line Scripting for Data Engineers

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The Certificate in Command Line Scripting for Data Engineers is a crucial course designed to equip learners with essential skills for data engineering roles. This program focuses on command line scripting, a fundamental area that sees high industry demand.

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By enrolling in this course, you will gain proficiency in various command line tools, automating repetitive tasks, and managing Unix/Linux systems. These skills will enable you to handle data engineering challenges more efficiently. As a data engineer, command line scripting knowledge is indispensable for career advancement. It enhances productivity, promotes better collaboration in data teams, and streamlines workflows. By mastering these skills, you will distinguish yourself as a valuable and adaptable professional in the evolving data landscape.

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โ€ข Introduction to Command Line Scripting: Fundamentals of command line scripting, basic commands, and file navigation.
โ€ข Shell Scripting: Overview of shell scripting, creating and executing scripts, using variables and control structures.
โ€ข Data Manipulation with Command Line Tools: Working with data using command line tools, such as awk, sed, and grep.
โ€ข Version Control with Git: Introduction to version control, using Git for command line scripting.
โ€ข Automating Data Processes with Cron Jobs: Scheduling tasks with cron jobs, automating data processes.
โ€ข Data Pipeline Orchestration with Makefile: Building and managing data pipelines with Makefile.
โ€ข Bash Scripting for Data Engineers: Advanced Bash scripting techniques, debugging scripts, and best practices.
โ€ข Security Best Practices for Command Line Scripting: Protecting scripts and data with secure coding practices.
โ€ข Testing and Debugging Command Line Scripts: Techniques for testing and debugging command line scripts.

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The **Certificate in Command Line Scripting for Data Engineers** section highlights the growing demand for data engineering skills in the UK job market. Our 3D pie chart illustrates the distribution of roles in this field, with data engineers taking the lead at 70%. Data analysts and data scientists follow closely, accounting for 20% and 10% of the market share, respectively. This visually appealing and responsive chart will engage your audience, providing them with a clear understanding of the industry landscape. The transparent background and absence of added background color ensure a seamless fit into any web design. By setting the chart's width to 100% and height to 400px, we ensure optimal display on various screen sizes and devices.

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CERTIFICATE IN COMMAND LINE SCRIPTING FOR DATA ENGINEERS
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London School of International Business (LSIB)
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05 May 2025
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