Industrial Engineering Courses

Python and Pandas for Data Engineering

273 ratings at Coursera

Learn Python and Pandas for data engineering, covering environment setup, data manipulation, and analysis. Gain hands-on experience with Jupyter, Vim, and VS Code while exploring essential Python concepts and Pandas operations.

• Coursera
• 2 days 4 hours 12 minutes
• Self-Paced
• Paid Course

Linux and Bash for Data Engineering

135 ratings at Coursera

Master Linux and Bash essentials for data engineering tasks. Learn file management, shell scripting, and command-line tools to enhance your development environment and solve common data problems efficiently.

• Coursera
• 2 days 17 hours 34 minutes
• Self-Paced
• Paid Course

Credential

Applied Python Data Engineering

123 ratings at Coursera

Leverage big data for business strategy and AI using Python. Master data pipelines, platforms like Hadoop and Spark, and data visualization techniques. Ideal for engineers and data professionals.

• Coursera
• 20 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Scripting with Python and SQL for Data Engineering

111 ratings at Coursera

Learn Python and SQL for data engineering: work with data structures, connect to databases, perform web scraping, and execute SQL queries using modern tools. Gain practical skills for effective data manipulation and extraction.

• Coursera
• 1 day 2 minutes
• Self-Paced
• Paid Course

Cloud Data Engineering

92 ratings at Coursera

Develop data engineering skills for cloud computing, covering serverless pipelines, ETL, databases, and storage. Apply best practices through hands-on projects using AWS, Azure, or GCP.

• Coursera
• 1 day 17 hours 11 minutes
• Self-Paced
• Paid Course

Cloud Machine Learning Engineering and MLOps

91 ratings at Coursera

Develop machine learning applications using cloud computing, AutoML, and MLOps. Explore emerging topics like edge ML and AI APIs. Build a Flask web app for ML predictions.

• Coursera
• 13 hours 47 minutes
• Self-Paced
• Paid Course

Spark, Hadoop, and Snowflake for Data Engineering

69 ratings at Coursera

Master data engineering with Hadoop, Spark, and Snowflake. Build efficient pipelines, optimize platforms, and integrate MLflow. Explore Databricks for analytics and machine learning, while applying DevOps and DataOps methodologies.

• Coursera
• 1 day 5 hours 55 minutes
• Self-Paced
• Paid Course

Data Engineering with Rust

67 ratings at Coursera

Leverage Rust for efficient, safe data processing. Master data structures, concurrency, libraries, and system design. Build robust data engineering solutions with hands-on projects.

• Coursera
• 2 days 15 hours 51 minutes
• Self-Paced
• Paid Course

Virtualization, Docker, and Kubernetes for Data Engineering

50 ratings at Coursera

Explore virtualization, Docker, and Kubernetes for data engineering. Master containerization, cloud-based orchestration, and advanced topics like AI-driven coding and SRE practices. Gain hands-on experience with industry-standard tools.

• Coursera
• 1 day 3 hours 15 minutes
• Self-Paced
• Paid Course

Web Applications and Command-Line Tools for Data Engineering

43 ratings at Coursera

Explore Jupyter notebooks, cloud-hosted environments, Python microservices, and command-line tools for data engineering tasks. Build and deploy scalable solutions for machine learning and data processing.

• Coursera
• 1 day 19 hours 31 minutes
• Self-Paced
• Paid Course

Advanced Data Engineering

22 ratings at Coursera

Master advanced data engineering techniques for handling large-scale datasets, optimizing workflows, and implementing cutting-edge tools like Celery, Apache Airflow, and specialized databases for efficient data operations.

• Coursera
• 23 hours 20 minutes
• Self-Paced
• Paid Course

MySQL-for-Data-Engineering

13 ratings at Coursera

Gain hands-on experience with MySQL for data engineering, including database interaction, dataset manipulation, and Python integration.

• Coursera
• 3 hours 7 minutes
• Self-Paced
• Paid Course

Software Engineering: Introduction

19 ratings at edX

Learn software engineering principles that are applicable to the breadth of large-scale software systems.

• edX
• 8 weeks, 8-10 hours/week
• Self-Paced
• Free Online Course (Audit)

Fundamentals of Engineering Exam Review

616 ratings at Coursera

Comprehensive review of engineering fundamentals covering mathematics, statistics, mechanics, fluids, and structures. Prepares students for the FE exam through concept explanations and practice problems.

• Coursera
• 22 hours
• Self-Paced
• Paid Course

Engineering Vibration I: Introduction: Single-Degree-of-Freedom Systems

This course is an introduction to exploring the topic of engineering systems undergoing vibration.

• edX
• 5 weeks, 3-8 hours/week
• Self-Paced
• Free Online Course