Data Processing Courses and Certifications

PHP UK Conference

Large Scale Data Processing with Hadoop and PHP

Learn to process large-scale data efficiently using Hadoop and PHP. Explore techniques for handling big data challenges and optimizing performance in distributed computing environments.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Conference Talk

Ruby Central

Processing Data at Scale with Rails

Strategies for handling large datasets using Rails, covering data ingestion, transformation, and storage with tools like ActiveRecord, Sidekiq, and Postgres.

• YouTube
• 35 minutes
• Self-Paced
• Conference Talk

Data Processing at Scale with Knative and Benthos

Explore scalable data processing using Knative and Benthos, focusing on batch processing challenges and solutions for enterprise use cases. Learn about transaction-based resiliency and data transformation techniques.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

EuroPython Conference

PySpark - Data Processing in Python on Top of Apache Spark

Learn PySpark for large-scale data processing with Python on Apache Spark. Covers RDDs, DataFrame API, transformations, actions, and data sources. Ideal for those seeking efficient big data analysis techniques.

• YouTube
• 24 minutes
• Self-Paced
• Conference Talk

PyCon US

Data Processing on Ray

Explore Ray's architectural changes for scaling Python applications in machine learning and data processing, addressing challenges in large-scale workloads.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk

Gopher Academy

How Apache Beam Makes Your Data Processing Go

Explore Apache Beam's Go SDK for efficient distributed data processing, overcoming Go's unique challenges using reflection, interfaces, and generics for scalable pipeline execution.

• YouTube
• 30 minutes
• Self-Paced
• Conference Talk

PyCon US

Easy Data Processing With Azure Fun

Learn to process data efficiently using Azure Functions and Python, exploring serverless computing, best practices, and practical use cases for scalable cloud applications.

• YouTube
• 57 minutes
• Self-Paced
• Conference Talk

Krish Naik

Processing 100+ GB of Data in Seconds Using Polars GPU Engine

Master high-speed data processing with Polars GPU engine, leveraging NVIDIA GPUs to handle massive datasets up to 10x faster while using familiar Polars syntax and commands.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

AWS Events

Data Processing at Massive Scale on Amazon EKS

Discover best practices for large-scale data processing using Amazon EKS, Spark, and Karpenter to reduce operational overhead while leveraging AWS-managed services and open-source innovations.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

AWS Events

Scaling Serverless Data Processing with Amazon Kinesis and Apache Kafka

Master serverless data processing by integrating AWS Lambda with Kinesis and Kafka, featuring architectural patterns and best practices for building scalable, real-time data streaming applications.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

CS Dojo

Data Processing and Visualization with Claude Code in 10 Minutes

Discover how to process and visualize data using Claude Code with Python and JavaScript through a multi-workflow approach featuring voice input in just 10 minutes.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Data Science: Transformers for Natural Language Processing

3026 ratings at Udemy

ChatGPT, GPT-4, BERT, Deep Learning, Machine Learning & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch

• Udemy
• 19 hours 6 minutes
• Self-Paced
• Paid Course

AWS Events

FINRA - Accelerate Massive Data Processing with NVIDIA on AWS EMR

1 rating

Discover how NVIDIA GPU acceleration with Apache Spark on AWS EMR enhances BigData analytics scalability, performance, and cost-efficiency for financial market regulation.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

PL/SQL by Example - Beginner to Advanced PL/SQL

24265 ratings at Udemy

Using PL/SQL learn how to combine the efficiency of SQL & Procedural Language(PL) to build a powerful PL/SQL Application

• Udemy
• 5 hours 41 minutes
• Self-Paced
• Paid Course

Career Certificate

Working with Different Files as Data Sources in Python

138 ratings at CodeSignal

Master Python file handling techniques for text, CSV, JSON, and large datasets while learning efficient data manipulation and processing strategies.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate
• 4 courses