Big Data Courses and Certifications

Building Batch Pipelines in Cloud Data Fusion

Learn to build ETL pipelines using Cloud Data Fusion's Pipeline Studio, exploring built-in plugins and applying data transformations with the Wrangler tool in Google Cloud's environment.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Packt

Advanced Elasticsearch Operations and Cloud Deployment

Master advanced Elasticsearch operations, from log analysis to cloud deployment. Optimize performance, secure clusters, and scale effectively using FileBeat, Kibana, and cloud services.

• Coursera
• 5 hours 48 minutes
• Self-Paced
• Paid Course

Building Realtime Pipelines in Cloud Data Fusion

Learn to create real-time event processing pipelines using Data Fusion and Apache Spark Streaming on Cloud Dataproc, enabling efficient handling of streaming data in Google Cloud.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

Learn to use Wrangler directives in Google Cloud Data Fusion for efficient data transformation and preparation, enhancing your ability to manage and process data effectively.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Edureka

Machine Learning with PySpark

Master distributed machine learning using PySpark MLlib to build scalable models, process large datasets, and implement advanced algorithms for classification, regression, and clustering in a big data environment.

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

Building Batch Data Pipelines on Google Cloud

Developers responsible for designing pipelines and architectures for data processing.

• edX
• 1 week, 5-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Packt

Azure SQL Data Warehouse Synapse Analytics Service

Master Azure Synapse Analytics for cloud data warehousing. Learn to manage SQL and Spark workloads, optimize performance, ensure security, and implement efficient data migration strategies for enterprise-scale tasks.

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

Packt

Building Modern Data Applications Using Databricks Lakehouse

Master Databricks Lakehouse to build scalable data applications with Delta Live Tables, Unity Catalog governance, and Terraform deployment for production-ready pipelines.

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

Dataproc: Qwik Start - Command Line

Learn to create and manage a Google Cloud Dataproc cluster, run Apache Spark jobs, and adjust worker nodes using the gcloud Command Line in this hands-on lab.

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

Data Processing, Exploratory Analysis and Visualization

Master distributed computing with Apache Spark, PySpark, and Spark SQL, then create compelling Power BI dashboards for large-scale data analysis and business insights.

• Coursera
• 1 day 5 hours 10 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Generative AI and LLMs on Databricks

Master production GenAI systems on Databricks through prompt engineering, RAG pipelines, model governance, and code intelligence with hands-on projects and evaluation metrics.

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

Creating a Data Transformation Pipeline with Cloud Dataprep

Visually explore, clean, and prepare structured and unstructured data for analysis using Cloud Dataprep's intuitive interface to build an efficient data transformation pipeline.

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

Packt

Artificial Intelligence for Cybersecurity

Explore how AI revolutionizes cybersecurity through hands-on implementation of ML algorithms, threat detection, anomaly analysis, and adversarial defense strategies for building intelligent security systems.

• Coursera
• 1 day 15 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Performance Engineering for Data Systems

Master SQL optimization, Spark tuning, and cloud infrastructure to build high-performance data systems that deliver measurable business value through hands-on engineering practices.

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

Building Resilient Streaming Analytics Systems on Google Cloud

This class is intended for data analysts, data scientists and programmers who want to build for out-of-the-ordinary scenarios such as high availability, resiliency, high-throughput, real-time streaming analytics on leveraging Google Cloud.

• edX
• 1 week, 5-6 hours/week
• Self-Paced
• Free Certificate