Exclusive selection of training sessions, powered by GoDataDriven and Binx.io.
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.
When: Monday January 31 till Friday 4th of February 2022
Learn how to successfully identify, develop, and execute AI use cases in your organization. Thanks to this training, you will be able to drive the development of AI solutions that match business needs and add value to your organization.
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.
MONDAY, JANUARY 31 FROM 4 PM CET TO 6 PM CET
Dask is a flexible library for parallel computing in Python, that follows the familiar syntax of the existing PyData ecosystem. In this session we will take you throught the first steps so you can start using it.
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.
Big Data and Machine Learning on GCP
The training offers a combination of presentations, demos, and hands-on labs that introduce you to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). You will learn to process Big Data at scale for analytics and Machine Learning. You will explore the fundamentals of building new machine learning models and creating streaming data pipelines and dashboards.
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
Martijn van de Grift – Trainer
Martijn is a cloud consultant at Binx.io, where he specializes in creating solutions using GCP and AWS. Not only is Martijn a guest lecturer at the Amsterdam University of Applied Sciences, but he is also an Authorized Instructor for both Amazon Web Services as Google Cloud Platform.
Databricks (on GCP)
Learn Data Science with Spark on Databricks, from running scripts, to clean and analyze data, to run machine learning models on the data.
What You’ll Learn
- Spark Advanced
- Spark ML: Data transform and pipelines, feature engineering pipelines, and ML pipelines
- Structured Streaming
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.
Prometheus and PromQL course
Prometheus is a powerful open-source metrics tool which alerts and informs users across a business. This course will help you understand how to effectively work with Prometheus, where you will gain a fundamental understanding of the tool as well as learning more advanced concepts. In addition, the course will consist of practical exercises so that you can actively work with taught concepts.The costs for the Prometheus training taster are €50. After submitting this form, you will receive a separate e-mail with instructions.
This is a customised hands on training with labs which will result in guiding you through and helping you:
- Understand the Prometheus ecosystem
- Understand metrics and their data points and how to effectively use them
- Understand Prometheus query language, how can you calculate things (better)?
- Know how you use functions within Prometheus.
- Make a bridge between Prometheus and Grafana.
- Optimise your usage of Prometheus
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.
From Excel to Python
Do you want to boost your career by learning THE programming language for Data Analysis? Do you find it hard to learn from scratch without guidance and would like experienced trainers that lead you along the journey? Join the course to gain experience with using Python for data analysis, and leave empowered to start boosting your career by applying this new skill!
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