Data Processing Courses and Certifications

Data Processing with Logstash (and Filebeat)

3342 ratings at Udemy

Process data with Logstash, which is a key part of the ELK stack (Elasticsearch, Logstash, Kibana) and Elastic Stack.

• Udemy
• 5 hours 31 minutes
• Self-Paced
• Paid Course

Data Science: Transformers for Natural Language Processing

3035 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

Excel Quick Start Tutorial: 36 Minutes to Learn the Basics

21054 ratings at Udemy

Spark your skills in Excel! Go from a blank worksheet to pivot tables in 36 minutes. Great for interview prep!

• Udemy
• 36 minutes
• Self-Paced
• Free Online Course

Data Processing and Manipulation

Handle missing values and outliers, apply sampling, dimensionality reduction, scaling and discretization, and build data cubes and pivot tables with Pandas.

• Coursera
• 4 weeks, 7 hours a week
• Self-Paced
• Paid Course

Data Processing with Excel

Explore Excel data processing through conditional statistics, lookup-method comparisons, cell references, and array formulas.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Career Certificate

Working with Different Files as Data Sources in Python

153 ratings at CodeSignal

Learn to use Python for manipulating, parsing, and processing text, CSV, JSON, and large data files.

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

Career Certificate

Serverless Data Processing with Dataflow

133 ratings at Coursera

Build data processing applications on Google Cloud Dataflow: unify batch and stream processing with Apache Beam, develop pipelines, then monitor, troubleshoot, test, and operate them reliably.

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

Prodramp

Data Processing Fundamentals - Smarter Python Code With Classes

Build DatasetSelector and DatasetManager classes in Python, add methods and scikit-learn support, and load datasets while handling sample-size errors.

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

Prodramp

Data Processing Fundamentals - Writing Smarter Python Code With Classes

Refactor a Python data-processing application with classes, methods, object instantiation, and scikit-learn dataset loading.

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

Anyscale

Last Mile Data Processing for ML Training Using Ray at Pinterest

A case study of how Pinterest used Ray on Kubernetes to bring data processing and model training into a single ML job.

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

Anyscale

Scaling Training and Batch Inference - A Deep Dive into Ray AIR's Data Processing Engine

A deep dive into how Ray AIR uses Ray Datasets to keep training and batch inference supplied with data across multiple machines.

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

EmacsConf and Emacs hangouts

Transducers - Ergonomic Data Processing for Emacs

Transducers offer a composable way to make data processing more ergonomic in Emacs, illustrated with a CSV example.

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

The ASF

Apache Linkis Data Processing Practice in Lake-Silo Architecture

A bank’s Linkis implementation unifies compute access and Hive metadata across its lakehouse to simplify data development and component management.

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

Data Council

The Middle Ground: Balancing Batch and Real-Time Processing in a Data Lakehouse

Explores how data lakehouse architectures can bridge batch analytics and low-latency real-time streaming on a single platform.

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

GOTO Conferences

Experimenting with Distributed Data Processing in Haskell

Explores how a Haskell library distributes large-scale data transformations across machines, drawing on ideas behind Apache Spark.

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