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Python, Bash and SQL Essentials for Data Engineering
Master Python, Bash, and SQL for data engineering. Learn tools and skills for handling and managing big data.
Course Cost
₹ 5,199
Beginner
Skill Level
184 Hours
Self-paced lessons
This comprehensive specialization provides a solid foundation in essential data engineering skills, focusing on Python, Bash, and SQL. Designed for beginners, it covers fundamental strategies and tools needed to collect, clean, and manage big data. Through hands-on projects and integrated lab exercises, students learn practical data engineering solutions, from setting up development environments to creating web applications and command-line tools. The program emphasizes real-world applications and includes opportunities to build a professional portfolio.
18,542 Enrolled
English
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18,542 Enrolled
English
What you'll learn
Set up and manage Python development environments, master Pandas for data manipulation and analysis, develop Bash scripts for Linux system automation, create Python scripts to interact with SQL databases, implement web scraping solutions for data collection, build microservices using FastAPI, create command-line tools with Python, develop practical data engineering solutions.
Skills you'll gain
This course includes:
184 Hours PreRecorded video
Lab exercises, Projects, GitHub Repository
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 courses in this program
Python and Pandas for Data Engineering - Duke
Course 1 · 51 Hours to complete · 4 modules
Using Linux and Bash in Data Engineering
Course 2 · 63 Hours to complete · 4 modules
Scripting with Python and SQL for Data Engineering
Course 3 · 21 Hours to complete · 4 modules
Web Apps & CLI Tools for Data Engineering - Duke
Course 4 · 41 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked Questions
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