Databases Courses and Certifications

Introduction to Information Technology and AWS Cloud

520 ratings at Coursera

Explore IT fundamentals, internet technologies, and AWS Cloud basics. Gain essential knowledge for building cloud solutions, from computer basics to web technologies and cloud computing concepts.

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

Data Tidying and Importing with R

12 ratings at Coursera

Transform and manipulate data using tidyverse in R. Learn data tidying, importing, recoding, and web scraping techniques to prepare datasets for visualization and modeling.

• Coursera
• 13 hours 4 minutes
• Self-Paced
• Paid Course

Practical Tarot - The Minor Arcana (Live Online)

521 ratings at CourseHorse

Explore the Minor Arcana's 56 cards, interpreting meanings through artwork and intuition rather than memorization, enhancing your Tarot reading skills with practical exercises.

• CourseHorse
• 18 hours
• Self-Paced
• $128.00

Coursera

Finding, Sorting, & Filtering Data in Microsoft Excel

513 ratings at Coursera

Learn to search, sort, and filter data in Excel for effective business decision-making. Manipulate spreadsheets to isolate and organize information, turning raw data into valuable insights.

• Coursera
• 1 hour 24 minutes
• Self-Paced
• Paid Course

Master Flask database integration for persistent web applications, including SQLAlchemy setup and CRUD operations.

• Codecademy
• 3 hours
• Self-Paced
• Free Trial Available

Pointers, Arrays, and Recursion

Explore pointers, arrays, and recursion in C programming, enhancing your ability to manipulate data, create efficient solutions, and implement complex algorithms.

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

Getting Started with Azure

512 ratings at Coursera

This course in an introduction to Microsoft Azure services. Students will gain familiarity with core Azure topics and practice implementation of infrastructure components.

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

Managing Machine Learning Projects

Learn to identify ML opportunities, organize projects, handle data, design systems, and manage model lifecycles for successful machine learning implementations.

• Coursera
• 18 hours 26 minutes
• Self-Paced
• Paid Course

Career Certificate

Python, Bash and SQL Essentials for Data Engineering

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/week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Large Language Model Operations (LLMOps)

Master generative AI techniques, LLM management, and deployment across platforms. Gain hands-on experience in designing and scaling language models for diverse applications through immersive projects and real-world challenges.

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

Scripting with Python and SQL for Data Engineering

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

MLOps Tools: MLflow and Hugging Face

Explore MLflow and Hugging Face for MLOps, covering model tracking, deployment, fine-tuning, and cloud integration. Gain practical skills in managing ML workflows and creating interactive demos.

• Coursera
• 1 day 1 hour 53 minutes
• Self-Paced
• Paid Course

Introduction to Digital Transformation Part 2

193 ratings at Coursera

Explore cloud computing, data integrity, and digital platforms to enhance business functions. Learn to analyze industry digitization efforts and recommend performance-maximizing approaches.

• Coursera
• 4 hours 11 minutes
• Self-Paced
• Paid Course

Cloud Applications

19 ratings at Coursera

Learn to develop, migrate, and manage scalable cloud-native applications. Explore best practices, building blocks, and emerging trends in cloud computing, including geo-distributed and edge/fog infrastructures.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Web Applications and Command-Line Tools for Data Engineering

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