Dask Courses and Certifications

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

Faster pandas

46 ratings at LinkedIn Learning

Learn how to make your pandas code quicker and more efficient. This course covers vectorization, common mistakes, pandas performance, saving memory, Numba, Cython, and more.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Scaling Python Data Applications with Dask

22 ratings at Pluralsight

Learn how to work with very large datasets without leaving familiar and rich Python data ecosystem. This course will teach you how to leverage power of Dask library in order to handle data that is too big for regular tools like Pandas or NumPy.

• Pluralsight
• 1 hour 22 minutes
• On-Demand
• Free Trial Available

Prodramp

Getting Started with Retail Data Analytics

Learn to develop geo-traceable consumer profiles and retail data analytics dashboards using Python libraries in this 2-3 hour tutorial by Prodramp.

• YouTube
• 2 hours 17 minutes
• On-Demand
• Free Online Course

GOTO Conferences

Kubeflow for Machine Learning

Learn about Kubeflow's role in machine learning from Netflix's open-source engineer and Treeverse's VP in this under 1-hour material by GOTO Conferences.

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

Rob Mulla

Do These Pandas Alternatives Actually Work?

Explore Python Pandas alternatives like Dask, Modin, Ray, and Vaex in this less than 1-hour material by Rob Mulla. Benchmark their speed on large datasets.

• YouTube
• 20 minutes
• On-Demand
• Free Online Course

Open Data Science

Tools for High Performance Python - Ian Ozsvald - ODSC Europe 2019

Learn to optimize Python code with Ian Ozsvald, Chief Data Scientist, in this less than 1-hour material from Open Data Science. Gain insights on identifying slow code, efficient Pandas operations, and more.

• YouTube
• 40 minutes
• On-Demand
• Free Online Course

Open Data Science

RAPIDS - The Platform Inside and Outside - Joshua Patterson - ODSC East 2019

Explore the impact of RAPIDS on Python data science, learn about GPU data science tools, and understand machine learning workflows in this less than 1-hour material from Open Data Science.

• YouTube
• 35 minutes
• On-Demand
• Free Online Course

GOTO Conferences

Scaling Python for Machine Learning - Beyond Data Parallelism

Explore advanced Python techniques for machine learning with Netflix's Open Source Engineer, Holden Karau. Learn about Spark, Dask, and Ray in under an hour. Offered by GOTO Conferences.

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

GOTO Conferences

Kubeflow for Machine Learning

Explore Kubeflow's ML tooling in a 48-min talk with Holden Karau of Netflix and Adi Polak of Treeverse, hosted by GOTO Conferences.

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

PyCon US

Comparing the Different Ways to Scale Python and Pandas Code

Explore the Fugue interface for Pandas, Spark, and Dask in this PyCon US talk. Learn to define compute workflows in a scale-agnostic manner using Python, Pandas, or SQL.

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

PyCon US

Deploying Python at Scale with Dask

Learn to deploy Python at scale with Dask on distributed hardware in this less than 1-hour talk by Matthew Rocklin at PyCon US. Explore balancing load, security, and cost optimization.

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

PyCon US

Hacking Dask - Diving Into Dask's Internals

Dive into Dask's internals with this 2-3 hour tutorial by PyCon US. Learn task graph optimization, worker and scheduler plugin systems, and more for effective data-intensive workloads.

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

PyCon US

Large Scale Data Validation - with Spark and Dask

Explore large-scale data validation techniques with PyCon US. Learn to maintain data integrity in pipelines, handle increasing data volumes, and apply validations on different data partitions.

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