Technologies / Data & Analytics

Scaling Data Analysis with Python and Dask

This training is dedicated to practical use of the Dask library for scaling data analyses in Python. The workshop program is designed to allow participants to transition from standard analyses to distributed processing on large datasets. During sessions, participants will learn not only the theoretical foundations of parallel processing but primarily how to transform existing Pandas and NumPy analyses into efficient solutions utilizing Dask capabilities. Practical workshops, comprising 70% of training time, are based on real scenarios and problems encountered in daily data analyst work.

Required Participant Preparation

Advanced Python knowledge
Pandas and NumPy experience
Data processing fundamentals understanding
Parallel programming concepts knowledge

Benefits

Ability to transform analyses to distributed environments
Practical Dask library knowledge
Analysis performance optimization skills
Memory management in large computations ability
Distributed code debugging techniques knowledge
Production environment configuration experience
Parallel processing principles understanding

Who is this training for?

Data analysts working with large datasets

Python programmers specializing in data analysis

Data Scientists seeking performance solutions

Data engineers responsible for process optimization

Analytical solution architects

Machine Learning specialists working with large datasets

Analytical application developers

Training program

Comparison with traditional Python tools
Distributed environment configuration

Transforming Analyses to Distributed Environment
Migrating Pandas code to Dask DataFrame
Grouping and aggregation operation optimization

Memory management
Advanced Processing Techniques
Matrix computations with Dask Array
Parallel task processing
Computation graph optimization
Debugging and profiling
Deploying Production Solutions

Monitoring and diagnostics
Big Data ecosystem integration
Scaling strategies

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Frequently asked questions

What are the prerequisites for this training?

The Scaling Data Analysis with Python and Dask training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts working with large datasets; Python programmers specializing in data analysis; Data Scientists seeking performance solutions.