Dask Courses and Certifications

Mastering Dask: Scale Python Workflows Like a Pro

25 ratings at Udemy

Master Scalable Data Processing, Parallel Computing, and Machine Learning Workflows Using Dask in Python

• Udemy
• 2 hours 46 minutes
• On-Demand
• Paid Course

MLOps World: Machine Learning in Production

Parallelizing Your ETL with Dask on Kubeflow

Leverage Dask's parallelism capabilities on Kubeflow for advanced ETL processing. Learn to use the Dask Operator to optimize resource utilization in interactive Jupyter sessions and pipeline workflows.

• YouTube
• 1 hour 48 minutes
• On-Demand
• Free Video

PyCon US

Pandas and Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars

Explore Dask DataFrame 2.0's improvements, comparing its performance to Spark, DuckDB, and Polars using TPC-H benchmarks. Learn about new features enhancing speed, efficiency, and usability in big data processing.

• YouTube
• 30 minutes
• On-Demand
• Free Video

PyCon US

Pandas and Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars

Explore Dask DataFrame 2.0's improvements and performance compared to Spark, DuckDB, and Polars. Learn about new features, benchmarks, and future developments in distributed computing with Python.

• YouTube
• 30 minutes
• On-Demand
• Free Video

PyCon US

Processing Large Geospatial Datasets with Dask and Xarray

Explore how to handle massive geospatial datasets using Dask and Xarray, from analyzing climate data on your laptop to leveraging recent advancements in scalability and performance for petabyte-scale operations.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Parallel Programming with Dask in Python

Learn how to take the Python workflows you currently have and easily scale them up to large datasets without the need for distributed computing environments.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Parallel Programming with Dask in Python

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Rob Mulla

Do These Pandas Alternatives Actually Work?

Benchmark comparison of Pandas alternatives: Dask, Modin, Ray, and Vaex. Evaluates speed performance on large datasets, offering insights for data scientists seeking faster Python data processing options.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Databricks

Koalas: Scaling Pandas APIs on Apache Spark - Performance and Comparison with Dask

Explore Koalas: pandas-like APIs for big data on Apache Spark. Compare performance with Dask, learn about recent updates, and understand its scalability for data science tasks.

• YouTube
• 24 minutes
• On-Demand
• Free Video

EuroPython Conference

Distributed Multi-GPU Computing with Dask, CuPy and RAPIDS

Explore distributed multi-GPU computing using Dask, CuPy, and RAPIDS. Learn to leverage GPU acceleration and distributed systems for faster, more efficient data processing and analysis.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Using Pandas and Dask to Work with Large Columnar Datasets in Apache Parquet

Explore efficient techniques for handling large columnar datasets using Pandas and Dask with Apache Parquet, including partitioning, row group skipping, and optimized data layout for faster queries.

• YouTube
• 39 minutes
• On-Demand
• Conference Talk

PyCon US

Large Scale Data Validation - with Spark and Dask

Explore data validation techniques for large-scale datasets using Spark and Dask. Learn to transition from single-machine to distributed computing, combining frameworks for efficient validation across partitions.

• YouTube
• 26 minutes
• On-Demand
• Conference Talk

PyCon US

Hacking Dask - Diving Into Dask's Internals

Explore advanced Dask features: task graph optimization, plugins, cluster inspection. Gain deeper understanding of internals and apply to data-intensive workloads.

• YouTube
• 2 hours 18 minutes
• On-Demand
• Conference Talk

PyCon US

Deploying Python at Scale with Dask

Explore scaling Python with Dask on distributed systems, focusing on deployment challenges and solutions for cluster resource managers like Kubernetes, Yarn, and cloud platforms.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Facing the Challenge of Climate Change with Xarray and Dask

Explore climate data analysis using xarray and Dask, leveraging Python's scientific ecosystem to process and visualize complex climate forecasts and projections from the Copernicus Climate Change Service.

• YouTube
• 24 minutes
• On-Demand
• Conference Talk