Data Protection Courses

Critical Evaluation in Data Science: Data, the World, and You

Discover how to critically evaluate data claims and avoid misleading statistics in everyday life through foundational quantitative methods and statistical thinking.

• edX
• 6 weeks, 4-5 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

Microcredential

Programming for Python Data Science: Principles to Practice

96 ratings at Coursera

Master Python data science essentials from fundamentals to advanced modeling, working hands-on with NumPy, Pandas, and Matplotlib to build a complete data analysis skillset for creating impactful insights and visualizations.

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

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

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

Microcredential

Data-Driven Decision-Making for Agile Organizations

48 ratings at Coursera

Master data-driven decision-making strategies to build agile dashboards, interpret business insights, and implement effective frameworks for strategic organizational success in complex environments.

• Coursera
• 4 weeks, 2 hours a week
• On-Demand
• Paid Course
• 3 courses

Web Applications and Command-Line Tools for Data Engineering

41 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
• On-Demand
• Paid Course

Data Visualization with Python

26 ratings at Coursera

Learn to create compelling data visualizations using Python, spreadsheets, and BI tools. Master histograms, scatterplots, and line plots with Pandas, Seaborn, Matplotlib, Plotly, Tableau, and Amazon QuickSight.

• Coursera
• 9 hours 24 minutes
• On-Demand
• Paid Course

Agile Dashboards for Data-Driven Decision-Making

24 ratings at Coursera

Explore agile dashboards for real-time insights into organizational performance. Learn key metrics and tools for quick, informed decision-making in dynamic business environments.

• Coursera
• 2 hours 36 minutes
• On-Demand
• Paid Course