Data Protection Courses

Coursera

Preparing Multimodal Data: Vision, Audio, and NLP Pipelines

Master building multimodal data pipelines for vision, audio, and NLP. Preprocess images, extract audio features, fine-tune transformers, and evaluate AI models trained on real-world unstructured data.

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

Packt

Principles of Data Science

Master the full data science lifecycle, from data preparation to advanced ML techniques, while exploring ethical AI considerations and hands-on case studies for real-world decision-making.

• Coursera
• 1 day 7 hours 23 minutes
• Self-Paced
• Paid Course

Coursera

SQL Data Quality, Security, and Governance

Explore SQL-based frameworks for data quality, security, and governance—build monitoring dashboards, conduct security audits, and develop cost-benefit models to ensure reliable, compliant data systems.

• Coursera
• 14 hours 44 minutes
• Self-Paced
• Paid Course

Coursera

SQL Performance, Testing, and Data Integrity

Master SQL performance tuning, automated testing, and data integrity management. Build CI/CD pipelines, optimize queries, and implement enterprise-grade database practices for senior data engineering roles.

• Coursera
• 9 hours 30 minutes
• Self-Paced
• Paid Course

Coursera Credential

Level Up: Advanced SQL for Data Engineering

Master advanced SQL skills for data engineering, covering ELT pipelines, lakehouse architecture, performance optimization, security, and data governance to excel in senior engineering roles.

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

Coursera Credential

Open source Data Engineering with Spark, dbt & Airflow

Master open-source data engineering using Apache Spark, dbt, and Airflow to build scalable pipelines, optimize performance, and deploy CI/CD workflows for production-ready data infrastructure.

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

Snowflake

Apache Iceberg: From Zero to Production Data Lakehouse

Master Apache Iceberg from setup to production, covering lakehouse architecture, table optimization, data migration, schema evolution, and maintenance operations using Spark and Trino.

• Coursera
• 5 hours 45 minutes
• Self-Paced
• Paid Course

Coursera

Design Data Models for BI Reporting

Master dimensional modeling by designing star schema data models that eliminate complex joins, boost query performance, and empower self-service BI reporting in tools like Tableau.

• Coursera
• 1 hour 36 minutes
• Self-Paced
• Paid Course

Coursera

Design Robust Data Models for Analytics

Master dimensional modeling by building star-schema fact and dimension tables, eliminating snowflake redundancies, and creating semantic metrics layers for consistent, high-performance analytics.

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

Coursera

Lookups: Fix Errors, Fetch Data Fast

Master VLOOKUP and INDEX/MATCH to retrieve data accurately, troubleshoot #N/A errors, and audit spreadsheets using real-world case studies to ensure data integrity.

• Coursera
• 1 hour 50 minutes
• Self-Paced
• Paid Course

Coursera

Validate and Track Data History Confidently

Master automated checksum validation and SCD2 historical tracking to ensure bulletproof data integrity and build reusable, enterprise-grade ETL transformation logic.

• Coursera
• 2 hours 1 minute
• Self-Paced
• Paid Course

Coursera

Visualize and Analyze Survey Data with Power BI

Master Power BI to transform raw survey data into interactive visualizations, navigate key interface views, and publish insightful reports to collaborative workspaces.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

Coursera

Analyze Financial Sensitivities with Data Tables

Master sensitivity analysis in Excel using one-way data tables to model financial risks, identify breakeven points, and deliver data-driven insights for stakeholders.

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

Coursera

Competitive Intel, Trends and Data Sourcing

Master competitive intelligence by applying Porter's Five Forces, feature-gap analyses, and advanced data sourcing to deliver actionable market forecasts and strategic briefs.

• Coursera
• 9 hours 53 minutes
• Self-Paced
• Paid Course

Coursera

Evaluate and Transform M&A Data for Valuations

Master the art of M&A data normalization, adjusting for control premiums and synergies using advanced Excel techniques and real-world deals like Microsoft-LinkedIn to build defensible valuation models.

• Coursera
• 1 hour 14 minutes
• Self-Paced
• Paid Course