Mining Engineering Courses

Engineering Mathematics

1 review

Explora matemáticas avanzadas en ingeniería mecánica, desde ODEs y sistemas dinámicos hasta transformadas de Fourier y Laplace, con aplicaciones prácticas en Matlab y análisis de sistemas no lineales.

• YouTube
• 1 day 23 hours
• On-Demand
• Free Video

An introduction to design engineering

14 ratings at OpenLearn

This free course, An introduction to design engineering, looks at the way in which engineers use ideas and approaches from the discipline of design thinking to inform their work. The complexity ...

• OpenLearn
• 10 hours
• On-Demand
• Free Certificate

Assessing risk in engineering, work and life

21 ratings at OpenLearn

Risk is something that must be taken into account at all times when practising as an engineer. We accept risk as part of everyday life so there is a need to balance the risks of an activity against...

• OpenLearn
• 10 hours
• On-Demand
• Free Certificate

Engineering: The challenge of temperature

5 ratings at OpenLearn

Engineering is about extending the horizons of society by solving technical problems, ranging from the meeting of basic human needs for food and shelter to the generation of wealth by trade. This ...

• OpenLearn
• 40 hours
• On-Demand
• Free Certificate

Introduction to Engineering and Design

Learn about the primary fields of engineering and explore the engineering design process, from conceptual design and optimal choice evaluation to prototyping and project construction.

• edX
• 3 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Python, Bash and SQL Essentials for Data Engineering

468 ratings at Coursera

Desarrolla habilidades esenciales en Python, Bash y SQL para la ingeniería de datos con ejercicios prácticos y estrategias aplicables, guiado por ingenieros profesionales.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

Python and Pandas for Data Engineering

270 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
• On-Demand
• Paid Course

Linux and Bash for Data Engineering

132 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
• On-Demand
• Paid Course

Microcredential

Applied Python Data Engineering

120 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 a week
• On-Demand
• Paid Course
• 3 courses

Scripting with Python and SQL for Data Engineering

109 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
• On-Demand
• 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
• On-Demand
• Paid Course

Cloud Machine Learning Engineering and MLOps

88 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
• On-Demand
• Paid Course

Data Engineering with Rust

65 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
• On-Demand
• Paid Course

Spark, Hadoop, and Snowflake for Data Engineering

64 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
• On-Demand
• Paid Course

Virtualization, Docker, and Kubernetes for Data Engineering

49 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
• On-Demand
• Paid Course