Data Protection Courses

Coursera

Pivot Campaign Data

Master the art of connecting email metrics to business outcomes. Create Excel reports, analyze performance gaps, and develop data-driven hypotheses to optimize campaigns and drive measurable revenue growth.

• Coursera
• 1 hour 57 minutes
• Self-Paced
• Paid Course

Coursera

Transform, Analyze, and Report Data with R

Master end-to-end data analysis with R using Tidyverse, dplyr pipelines, automated R Markdown reports, and model evaluation techniques like ROC curves and cross-validation.

• Coursera
• 2 hours 54 minutes
• Self-Paced
• Paid Course

AI-Powered Data Analysis with Microsoft Copilot

Master AI-powered data analysis using Microsoft Copilot to transform raw data into insights, build dashboards, and automate workflows—no prior experience needed.

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

Coursera

Advanced SQL for Data Pipeline Optimization

Master advanced SQL techniques to build, optimize, and troubleshoot enterprise-grade data pipelines, covering ELT automation, window functions, SCD2, and performance benchmarking for senior data engineering roles.

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

Coursera

Building Automated Data Pipelines with Spark,dbt,and Airflow

Master building production-ready data pipelines using Apache Spark, dbt, and Airflow to process millions of records, integrate diverse sources, and automate workflows with monitoring and retry logic.

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

Coursera

Career Development For Open Source Data Engineering

Unlock a job-ready data engineering career by building a compelling portfolio, optimizing your resume and LinkedIn, and mastering interviews with a concrete 30-day action plan using Airflow, dbt, and Spark.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Packt

Data Cleaning with Power BI

Master data cleaning in Power BI using Power Query, DAX, and M language to transform messy data into actionable insights, optimize models, and automate workflows.

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

Coursera

Data Engineering & Pipeline Reliability for Machine Learning

Master data engineering skills using Python and pandas to clean, encode, validate datasets, build ML pipelines, manage schema changes, and optimize compute costs for production-ready ML infrastructure.

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

Coursera

Data Modeling & Warehousing Fundamentals in Data Engineering

Master data warehousing essentials: design star schemas, apply normalization, use SQL window functions, configure replication, and implement incremental loading for scalable enterprise analytics.

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

Coursera

Data Modeling and Lakehouse Architecture with SQL

Master enterprise data modeling with star schemas, lakehouse architectures, SCD pipelines, and cost optimization strategies to build scalable, analytics-ready data solutions.

• Coursera
• 10 hours 24 minutes
• Self-Paced
• Paid Course

Coursera

Data Quality and Debugging for Reliable Pipelines

Master data quality testing, root cause analysis, and Python debugging to build reliable, production-ready data pipelines using YAML test suites, monitoring dashboards, and advanced debugging tools.

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

Coursera

DevOps and CI/CD for Data Engineering Performance

Master DevOps practices for data engineering—covering Git conflict resolution, Docker containerization, Ansible automation, CI/CD pipelines, and query optimization to build production-ready, portfolio-worthy skills.

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

Coursera

ML Data Pipelines and Communicating AI Insights

Master ML data pipelines using Python, Pandas, Apache Spark, and SQL. Build ETL workflows, apply feature engineering, evaluate model performance, and communicate AI insights through visualizations and structured reporting.

• Coursera
• 11 hours 40 minutes
• Self-Paced
• Paid Course

Coursera

Optimizing Spark and Cloud Data Storage for Analytics

Master advanced Spark performance optimization and cloud storage strategies, including Delta Lake, ACID transactions, partitioning, caching, and secure infrastructure design for petabyte-scale data pipelines.

• Coursera
• 10 hours 27 minutes
• Self-Paced
• Paid Course

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