31 January – 4 February 2022
One Week of Data, AI, and Cloud Training
Grow your understanding of some of the hottest data and tech topics. Attend instructor-led training with one of our specialized trainers and develop your skills. The Training Tasters take place from Monday, Jan. 31 until Feb. 4.
Choose from 6 different instructor-led training sessions covering topics from Python, Dask and Databricks, to Analytics Translation, Prometheus and Google Cloud.
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Instructor-Led Training Tasters
Schedule
Sounds tasty?
Monday, January 31 from 2 pm CET to 4 pm CET
Analytics Translation
What You’ll Learn
- How to gain value from data by developing AI solutions
- The requirements for a successful AI solution
- The technical and business challenges when developing AI solutions
Steven van Duin – Trainer
Steven beliefs that data-driven decision-making needs stakeholder involvement as much as it needs a solid data model. Steven gained extensive experience in facilitating training, stakeholder involvement, and project team management. He obtained this experience through his work as a management consultant (6+ years) and trainer of various courses (10+ years).
Herbert van Leeuwen – Trainer
Herbert is a data scientist who believes that successful AI solutions are made by combining good change management with the right technical capabilities. He is fascinated by data & analytics and applying them successfully in organizations.
Sounds tasty?
Monday, January 31 from 4 pm CET to 6 pm CET
DASK training
What You’ll Learn
- Overview of dask – How it works and when to use it.
- Dask Delayed: How to parallelize existing Python code and your custom algorithms.
- Schedulers: Single Machine vs Distributed, and the Dashboard.
- From pandas to Dask: How to manipulate bigger-than-memory DataFrames using Dask.
- Dask-ML: Scalable machine learning using Dask.
Richard Pelgrim – Data Science Evangelist
Richard Pelgrim is a data scientist with a passion for communicating technical content in creative and compelling ways that increase engagement. Currently, he does so as Data Science Evangelist at Coiled.io, the leading company around the open-source Dask library for distributed computing in Python. Richard is regularly invited to give Dask tutorials at meet-ups and conferences and has a treasure chest of expert tips to support anyone on-boarding with Dask.
Sounds tasty?
Tuesday, February 1, from 4 pm CET to 6 pm CET
Get started with Big Data and Machine Learning on GCP
What You’ll Learn
- Processing Big Data at scale for analytics and Machine Learning
- The fundamentals of building new machine learning models
- Creating streaming data pipelines and dashboards
Koen Maes – Trainer
Koen is a GCP cloud consultant at g-company, where he specializes in building solutions using GCP. He holds a number of technical certifications in GCP on both data and Infrastructure related topics and was part of the first group of Authorized GCP trainers accredited back in 2014.
Wednesday, February 2 from 4 pm CET to 6 pm CET
Machine Learning with Databricks on GCP: Getting started with Travis Dent
What You’ll Learn
- Setting up Databricks on GCP
- Machine Learning with Databricks
- Databricks on GCP vs AWS and Azure
Travis Dent – Trainer
Travis is a data engineer who builds robust systems following solid engineering principles and striving for rapid value delivery. He is experienced in gathering requirements, architecting solutions, and leading solutions teams. Travis’s experience has refined what he holds dear in terms of way of work and methodologies for any project’s success, namely modularity, simplicity, and automated testing and deployment
Thursday, February 3 from 1 pm CET to 5 pm CET
SRE with Prometheus
Learning objectives
The training will show you how to effectively use Prometheus to accomplish your SRE goals. We take a step back to get an overview of Prometheus and to evaluate different use-cases to see how you can mindfully approach SLAs (Alerting) and SLOs (Relevant Metrics).
The topics covered are as follows:
- Prometheus and the general ecosystem
- Metric Types and their use-cases
- Alerts
- Recording Rules
- Grafana
Matt Watson – Trainer – Cloud consultant/trainer at Binx.io
Over the past 5 years I have worked with some of the largest UK and Dutch based companies in their respective fields (Bol.com, Jaguar Land Rover, Sainsbury’s, Opus2) and throughout many projects I have been exposed to different tools, ways of working and environments.
Metrics, monitoring and logging has always been a core part of my work as it provides crucial information about the state of your platform. Throughout the years I have learnt best practices and now I enjoy sharing my knowledge with others, to help improve their IT systems.
Sounds tasty?
Friday, February 4 from 3 pm CET to 5 pm CET
From Excel to Python
What You’ll Learn
- The benefits of using Python for data analysis and beyond
- Python built-in data types
- How to write functions
- About pandas, with an in-depth look at indices, series, and dataframes
- How to wrangle and visualise your data with pandas
Lucy Sheppard – Trainer
Lucy trained as a teacher before spending four years working for a UK bank building models to generate customer risk profiles. She now feels extremely lucky that she can combine her skills in data and her passion for teaching to share knowledge and support the next iteration of data scientists