One Week of Data, AI, and Cloud Training Tasters
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, and Google Cloud.
Scroll down for the schedule.
Technologies
Training Tasters - Cloud, Data, and AI
One Week of Data, AI, and Cloud Training | 31 January – 4 February 2022
Schedule
Kickstart Your Learning in 2022
In only a few hours, our experienced trainers get you up to speed with analytics translation, DASK, Big Data and ML on GCP, Databricks, and Python.
Advanced Analytics Translation
Learn how to successfully identify, develop, and execute AI use cases in your organization. Trainer: Steven van Duin - Monday, January 31, from 2 pm CET to 4 pm CET
Dask training
Learn how Dask provides advanced parallelism for analytics, enabling performance at scale. Trainer: Richard Pelgrim - Monday, January 31, from 4 pm CET to 6 pm CET
Google Cloud Big Data & ML Fundamentals
Get started with Big Data and Machine Learning services on GCP. Trainer: Koen Maes – Tuesday, February 1, 4 pm CET to 6 pm CET
Machine Learning with Databricks on GCP: Getting started with Travis Dent
Learn how Databricks on Google Cloud offers a unified data analytics platform, data engineering, Business Intelligence, data lake, Adobe Spark, and AI/ML. – Wednesday, February 2, 4 pm CET to 6 pm CET
From Excel to Python
Do you want to boost your career by learning THE programming language for Data Analysis? Trainer: Lucie Sheppard – Friday, February 4, 3 pm CET to 5 pm CET
Training Tasters - Cloud, Data, and AI
One Week of Free Data, AI, and Cloud Training - 31 January – 4 February 2022
Advanced Analytics Translation
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 learn how to build a business case for your use case.
What You’ll Learn
- Framework to relate data science to business value, and which challenges to address
- How to build a business case for data science products
- How model performance impacts your business case
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.
DASK training
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
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.
Machine Learning with Databricks on GCP: Getting started with Travis Dent
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
- 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
Training Tasters - Cloud, Data, and AI
One Week of Free Data, AI, and Cloud Training - 31 January - 4 February 2022
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
Register For The Training Tasters
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