Data Protection Courses

Coursera

Organize Research Data: File Management

Master file management for research data by learning to classify raw, cleaned, and analyzed data, apply naming conventions, and build organized repositories that ensure accessibility and data-driven decisions.

• Coursera
• 1 hour 49 minutes
• Self-Paced
• Paid Course

Coursera

Source Credible Data Fast & Smart

Master the art of evaluating source credibility and advanced search techniques to retrieve precise, trustworthy data for accurate, ethical business decisions.

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

Pragmatic AI Labs

Data Engineering with Delta Lake on Databricks

Master production-ready data pipelines using Delta Live Tables and Medallion Architecture on Databricks through hands-on labs and a complete inventory management capstone project.

• Coursera
• 5 hours 9 minutes
• Self-Paced
• Paid Course

Edureka

Data Mesh Architectures and Implementations

Master Data Mesh principles to design decentralized, domain-driven data systems with federated governance, AI integration, and enterprise-grade reliability for modern organizations.

• Coursera
• 10 hours 34 minutes
• Self-Paced
• Paid Course

Coursera

Apply SCD2 to Build Dynamic Data Models

Master SCD2 logic to build dynamic data models that track historical changes, enabling accurate trend analysis and reliable business intelligence in enterprise warehouses.

• Coursera
• 1 hour 52 minutes
• Self-Paced
• Paid Course

Coursera

Build & Transform Data Pipelines

Master automated data pipeline creation using Python, dbt, and Airflow to transform raw data into analytics-ready insights on cloud platforms like AWS and Snowflake.

• Coursera
• 1 hour 40 minutes
• Self-Paced
• Paid Course

Packt

Data Engineering with Scala and Spark

Master building scalable data pipelines with Scala and Spark, covering streaming/batch processing, performance tuning, testing, CI/CD, and cloud deployment for data engineers.

• Coursera
• 17 hours 56 minutes
• Self-Paced
• Paid Course

Coursera

Data Pipelines and SQL for Product Analytics

Master data pipeline construction and SQL optimization for product analytics using real-world datasets exceeding 10 million rows across multiple platforms.

• Coursera
• 8 hours 52 minutes
• Self-Paced
• Paid Course

Coursera

Manage Data in Chroma

Master advanced Chroma vector database management with metadata filtering, multi-collection architectures, and automated ETL pipelines for scalable AI applications.

• Coursera
• 2 hours 14 minutes
• Self-Paced
• Paid Course

Coursera

Map Data Flows Fast

Master systematic visualization of data pipelines through comprehensive flow diagrams that map sources, transformations, and destinations for better engineering decisions.

• Coursera
• 1 hour 18 minutes
• Self-Paced
• Paid Course

Coursera

Marketing Data Analysis and Visualization Fundamentals

Master foundational marketing analytics skills using Excel, Google Analytics 4, and BI tools like Tableau to transform data into actionable insights and compelling visualizations.

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

Coursera

Product Analytics for Prioritization & Data-Driven Decisions

Master product analytics to transform user data into strategic decisions using RICE prioritization, funnel analysis, and predictive modeling for data-driven product management.

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

Coursera

Bulk Edit Data

Master bulk editing and data entry in Asana using AI-powered workflows, custom fields, and tags to streamline project management and save hours each week.

• Coursera
• 58 minutes
• Self-Paced
• Paid Course

Coursera

Evaluate Storage for Data Warehousing Success

Master data warehouse storage decisions by evaluating columnar vs. row-oriented formats, benchmarking Parquet, ORC, and Avro, and optimizing compression for analytical performance and cost-effectiveness.

• Coursera
• 1 hour 44 minutes
• Self-Paced
• Paid Course

Coursera

Optimize Query Performance for Data Success

Master query performance analysis, identify bottlenecks, and optimize database resources to maintain high service levels and maximize data infrastructure efficiency in production environments.

• Coursera
• 1 hour 34 minutes
• Self-Paced
• Paid Course