Big Data Courses and Certifications

Getting Started with Cloud Data Fusion

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to create a Data Fusion instance and deploy a sample pipeline

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

Packt

Learn Data Integration and Visualization with Elasticsearch

Master Elasticsearch for data integration, aggregation, and visualization. Learn to import, analyze, and present complex datasets using Logstash and Kibana, transforming raw information into actionable insights.

• Coursera
• 8 hours 35 minutes
• Self-Paced
• Paid Course

Hadoop and Spark Fundamentals: Unit 1

Discover Apache Hadoop ecosystem fundamentals, install HDP sandbox, master HDFS architecture, and explore Spark analytics for scalable big data processing and management.

• Coursera
• 6 hours 20 minutes
• Self-Paced
• Paid Course

Packt

Databricks Associate Developer: Apache Spark with Python

Master Apache Spark with Python for Databricks certification through hands-on data processing, streaming, and machine learning projects in this comprehensive 18-hour training.

• Coursera
• 18 hours 5 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

Career Certificate

Hadoop and Spark Fundamentals

Master big data analytics with hands-on Hadoop and Spark training, covering HDFS, MapReduce, PySpark, HiveQL, and cluster management using Ambari and Zeppelin interfaces.

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

Pragmatic AI Labs

Cloud Data Engineering

Master data engineering for cloud-native applications through distributed systems, big data, and serverless technologies.

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

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

Coursera

Databricks Mosaic AI

Master Databricks Mosaic AI platform to design and implement scalable AI workflows, from workspace navigation to real-world integration, enhancing your ability to solve complex data challenges effectively.

• Coursera
• 2 hours 25 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

Coursera

Databricks Machine Learning Fundamentals

Master production-grade machine learning on Databricks with hands-on experience in data preparation, MLflow tracking, and model deployment for real-world applications.

• Coursera
• 3 hours 53 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

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

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

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