Big Data Courses and Certifications

Exploring NCAA Data with BigQuery

Analyze NCAA basketball data using BigQuery to uncover insights from decades of games, teams, and player statistics.

• Coursera
• 45 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

EDUCBA Microcredential

Elastic Stack Mastery with Elasticsearch & AWS

Master Elasticsearch, Logstash, Kibana, and AWS deployment through hands-on projects. Build scalable data models, construct complex queries, and create real-time visualizations.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

EDUCBA

Apache Spark with Scala: Master Data Building & Analysis

Master Apache Spark with Scala to build scalable big data applications, implement real-time streaming, and create fault-tolerant data pipelines for analytics roles.

• Coursera
• 8 hours 44 minutes
• On-Demand
• Paid Course

Foundations of Apache Cassandra Training

Discover Big Data and NoSQL fundamentals through Apache Cassandra's architecture, data operations, and hands-on VM setup for fault-tolerant database systems.

• Coursera
• 3 hours 28 minutes
• On-Demand
• Paid Course

Azure Synapse Apache Spark Pools: Data engineering

Master Apache Spark in Azure Synapse Analytics for data engineering, including Delta Lake for ACID transactions, data transformation techniques, and visualization using SQL, notebooks, and Python libraries.

• edX
• 1 week, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Coursera Microcredential

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 a week
• On-Demand
• Paid Course
• 7 courses

Redacting Confidential Data within your Pipelines in 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 use the Cloud Data Fusion plugin for Cloud DLP to redact sensitive data.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

EDUCBA

Master Kibana Monitoring & Python Integration

Master ELK stack monitoring with Kibana dashboards and Python automation for system metrics, visualization, and automated reporting in DevOps environments.

• Coursera
• 4 hours 22 minutes
• On-Demand
• Paid Course

Coursera

Design Real-Time Architectures with Spark & Kafka

Master real-time data pipelines using Apache Spark & Kafka for scalable streaming systems with fault tolerance, performance tuning, and production deployment strategies.

• Coursera
• 3 hours 39 minutes
• On-Demand
• Paid Course

Coursera

Build Real-Time Dashboards with Spark

Master real-time dashboard creation with Apache Spark Structured Streaming, integrating Kafka, Delta Lake, and advanced windowing techniques for live business intelligence.

• Coursera
• 4 hours 36 minutes
• On-Demand
• Paid Course

Hadoop and Spark Fundamentals: Unit 2

Master Hadoop MapReduce programming, Apache Pig, Hive QL, and Spark/PySpark through hands-on exercises including word counts, log analysis, and Wikipedia text processing for big data workflows.

• Coursera
• 6 hours 1 minute
• On-Demand
• Paid Course

Practical Machine Learning without Coding

Discover how to build, optimize, and deploy machine learning models using no-code platforms, from standard algorithms to advanced automation and real-world business integration.

• Coursera
• 3 hours 20 minutes
• On-Demand
• Paid Course

Packt

Databricks ML in Action

Master practical machine learning on Databricks platform with hands-on projects covering MLflow, Vector Search, AutoML, and complete ML lifecycle from data ingestion to deployment.

• Coursera
• 13 hours 23 minutes
• On-Demand
• Paid Course

EDUCBA

Analyze Fraud Using Data Analytics and R

Discover fraud detection using R and data analytics to identify patterns, evaluate techniques, and apply machine learning for fraud prevention and risk assessment.

• Coursera
• 5 hours 52 minutes
• On-Demand
• Paid Course