Big Data Courses and Certifications

Coursera

Real-time analytics with Spark: User Activity Monitoring

Master real-time data processing with Apache Spark Structured Streaming, from configuring micro-batches to deploying production pipelines for monitoring user activity and extracting actionable insights.

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

Machine Learning with Spark on Google Cloud Dataproc

Implement logistic regression using Apache Spark's ML library on Google Cloud Dataproc to develop a model for multivariable dataset analysis.

• Coursera
• 1 hour 30 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

Innovations in Digital Health

Explore how AI, Big Data, Blockchain, and Robotics are revolutionizing healthcare delivery, improving patient outcomes, and expanding access to care worldwide.

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

Dataproc: Qwik Start - Console

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

Microsoft Excel: Data Analysis with Power Pivot

Master advanced data analysis techniques using Power Pivot to handle large datasets, create sophisticated models, and build powerful reports within Excel's familiar interface.

• Coursera
• 5 hours 25 minutes
• Self-Paced
• Paid Course

Distributed Image Processing in Cloud Dataproc

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.

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

EDUCBA

Apache Spark: Design & Execute ETL Pipelines Hands-On

Master Apache Spark ETL pipeline design and execution with hands-on MySQL integration, incremental loading, and production-ready data engineering workflows.

• Coursera
• 4 hours 28 minutes
• Self-Paced
• Paid Course

Stream Processing with Cloud Pub/Sub and Dataflow: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. This quickstart shows you how to use Dataflow to read messages published to a Pub/Sub topic, window (or group) the messages by timestamp, and Write the messages to Cloud Storage.

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

Career Certificate

Strategic Planning for Public and Nonprofit Organizations

Master strategic planning for public and nonprofit organizations, covering environmental assessments, strategy implementation, leadership, and modern tools like AI and big data for effective decision-making.

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

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

EDUCBA

Microsoft Azure - Data Lake

Master Azure Data Lake design, U-SQL scripting, and performance optimization through hands-on analytics solutions with real-world scenarios and cost management strategies.

• Coursera
• 13 hours 6 minutes
• 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

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

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