Skip to main content

Person tapping on Geotab Data solutions on a screen with their electronic pen

Geotab Data Bootcamp Online

Join us for an all-new virtual learning experience. These three-day Bootcamp sessions offer options for all types of professionals. Learn about creating, delivering and managing solutions using big data, analytics and AI.

Register for Data Bootcamp

April 19-21, 2022 (Virtual)

Timezone: EST
Curriculum/case studies geared towards NA Market, Latam Marketing and Customers
0

Days

0

Hours

0

Minutes

0

Seconds


July 12-14, 2022 (Virtual)

Timezone: PT
Curriculum/case studies geared towards NA Market
0

Days

0

Hours

0

Minutes

0

Seconds

Geotab Data Bootcamp logo

About Geotab Data Bootcamp

The digital transformation age has arrived. Are you making the most of your data to drive growth and innovation?

The Geotab Data Bootcamp will give you a unique experience where Geotab professionals will help you understand the kind of problems or opportunities that can be solved with big data and teach you how to do it. You will connect directly with Geotabbers and learn about real problems in fleet management and how Geotab can help with data, best practices, and solutions. You'll get experience working with Geotab big data, from initial problem to actionable solution, through presentations, hands-on or instructor-led training and discussions.

From defining a situation, extracting data, combining with other data sources, gaining insights, or building machine learning models, all alternatives will be covered. The emphasis of each session will be on using telematics data to address issues and opportunities associated with fleet productivity and optimization, safety, compliance, sustainability and expandability.

If you work with fleet and connected vehicle data, sign up for this special multi-day training event, including instructor-led and hands-on workshops.

Build the knowledge and skills of your team with training from experts in your field.

Choose or customize your training path

The Geotab Data Bootcamp is a single training stream, with four different acts on:

• Extracting data
• Combining data to get new insights
• Leveraging data with artificial intelligence (AI) and machine learning (ML)
• The future of data

These acts will cover different problems and opportunities, and the approaches and solutions unique to each. To balance the depth and breadth of content and allow for the best learning experience, some sessions will be for all participants and some will stream simultaneously allowing you to choose the best option for you.

You can choose the simultaneous sessions according to your role and skills. Geotab has prepared five recommended paths with groups of sessions to be attended during the three-day workshop, but the choice is yours. You can select the path to follow based on your role, previous experience and skills or build your own path based on your learning objectives.

To learn more, view the Geotab Data Bootcamp Agenda.

Available paths

There are five available paths for all participants to choose from or build off of. These include:

• Business Expert
• Data Analyst
• Data Scientist
• Data Engineer
• Developer

In all paths, you will hear from Geotab Research and Development team members on new technologies and projects that leverage telematics data and alternative data sources. You will also learn general aspects related to big data extraction from MyGeotab, including AI and ML, and gain new insight from that data using many different use cases and real-life applications.

To learn more, read the path descriptions below:
light bulb illustration

Business Expert

If you work close to fleet management or for/near a business unit, this is the right path for you.

What you’ll learn:
How to select and resolve problems using AI and ML technology for data insights.

Who should follow this path:
Fleet managers, Fleet Specialists, Business Analysts, Product Managers, Project Managers, Business Development, Sales, Account Managers, Business Professionals and Executives

Required technical skills:
None.

See the Business Expert path agenda for more details.

A blue cube icon inside of a gear icon

Data Analyst

If you work with data to support fleet management or other parts of the business, this is the right path for you.

What you’ll learn:
How to apply ML and visualization techniques to build models.

Who should follow this path:
Data Analysts.

Required technical skills:
Some technical background, SQL, Python, Machine Learning notions.

See the Data Analyst path agenda for more details.
beaker illustration

Data Scientist

If you work with data, AI and machine learning to support fleet management or other parts of the business, this is the right path for you.

What you’ll learn:
How to apply advanced ML techniques to build models.

Who should follow this path:
Data Scientists, AI Engineers, ML Engineers.

Required technical skills:
Technical background, SQL, Python, Machine Learning.

See the Data Scientist path agenda for more details.
grad hat illustration

Data Engineer

If you work with data management to support fleet management or other parts of the business, this is the right path for you.

What you’ll learn:
How to manage data pipelines and data operations and apply ML techniques to build models.

Who should follow this path:
Data Engineer, Database Managers.

Required technical skills:
Technical background, SQL, Python, Machine Learning notions.

See the Data Engineer path agenda for more details.
code illustration

Developer

If you develop and maintain apps that support fleet management or other parts of your business, this is the right path for you.

What you’ll learn:
How to extract data from MyGeotab using MyGeotab SDK and build MyGeotab add-ins and use maps and data APIs.

Who should follow this path:
Software Developers, Software Engineers.

Required technical skills:
Technical background, coding experience.

See the Developer path agenda for more details.

Mike Branch presenting at Geotab Data Bootcamp

Accelerate your knowledge and proficiency in data

The Geotab Data Bootcamp is a comprehensive training course designed by Geotab’s Data and Analytics team. This Bootcamp will accelerate your knowledge and proficiency in working with massive volumes of telematics data and delivering solutions (AI or otherwise) to your customers.

Are you making the most of your data?

Telematics data is more than just dots on a map, it is the movement and flow of an entire organization and should be leveraged to make critical decisions. Learn how to combine telematics data with data from other line-of-business systems to make sure these critical decisions are data-driven.
A woman leans over a laptop
Daniel Lewis presenting at Geotab Data Bootcamp

Gain insights from vehicle intelligence

Do you know how to predict battery failure? Do you know how to predict traffic patterns? Can you predict driving behavior? You will be able to answer these questions and more after completing our course!

At Geotab, we process over 50 billion data points per day from over 2 million connected vehicles. We offer multiple datasets to empower your organization and can help you get the most of your data.

Benefits of attending

There are many benefits to attending the Geotab Data Bootcamp. To name a few:
Lorem Ipsum

Network opportunities

Live Q&A and one-on-one conversations with dedicated Geotab data scientists.
Lorem Ipsum

Hands-on experience

Real-time feedback and experimentation using labs and live presentations.
Lorem Ipsum

Instructor-led training

Lead by the Geotab data and analytics team.

Play with real data

Prepare, visualize and analyze real data!

What you’ll learn

Geotab data and software professionals will give in-depth presentations covering the following acts:
Introduction: The current state of telematics and how to leverage data to create business value.
First act: How to extract telematics data from MyGeotab and how to extend the platform with new applications.
Second act: How to manage and combine big data to gain new insights.
Third act: How to leverage data with AI and ML to solve more complex business problems.
Fourth act: What comes from the future by listening to our researchers about new technologies and projects.
Epilogue: How Geotab can help accelerate business value creation with data and solutions.

Get ready to bridge the gap between data science and real-world insights with a focus on fleet!
This is placeholder Alt Text
This is placeholder Alt Text

Making sense of your data

How do you weed through the noise in data to make sense of it? We will walk through techniques using examples to uncover outliers in your fleet ranging from fuel economy to safety analyses. Finding the outliers will provide a more clear path to intervention and optimizing your fleet.

Technologies used in the Geotab Data Bootcamp Include:

• BigQuery
• BQML
• Python (Scikit Learn, Tensorflow, etc)

Alt Text

Ivan R.

4/5 stars

My experience at the Geotab Data Bootcamp was nothing short of fantastic. The data scientists were extremely knowledgeable, professional, insightful, and attentive. I would definitely consider attending additional Geotab Data Bootcamps in the future!

Alt Text

Jennifer T.

4/5 stars

The best part of my experience with Geotab Data Bootcamp was the great Instructors and the well-organized course materials. I was very impressed with what we did in the class, which was heavily focused on hands-on projects.


Who should attend Geotab Data Bootcamp?

All end-users interested in developing personalized solutions and understanding the power of the data made available by Geotab are welcome to attend, including:
  • Geotab customers
  • Geotab Resellers
  • Business fleets
  • Government fleets

Meet some of your instructors

The Data and Analytics Team at Geotab is focused on developing solutions that enable our Customers, Partners and internal stakeholders to better leverage data from our big data environment. We are responsible for ensuring that the necessary infrastructure is set up and maintained to enable insights from connected vehicle data.
Lorem Ipsum

Mike Branch

Vice President, Data & Analytics
Lorem Ipsum

Bob Bradley

Associate Vice President, Data Solutions
Lorem Ipsum

Daniel Lewis

Senior Data Scientist, R&D Specialist
Lorem Ipsum

Javed Siddique

Senior Data Scientist


Recent industry guests

Lorem Ipsum

Massimo Mascaro

Technical Director, Applied AI, Google Cloud
Lorem Ipsum

Vanessa Ko

Senior Insights & Strategy Consultant, Deloitte
Lorem Ipsum

Tom Raftery

Global VP, Futurist, & Innovation Evangelist, SAP
Lorem Ipsum

Blair Gosselin

Cloud Customer Engineer, Google


Frequently asked questions

Attendees that follow the Business Expert path do not have prerequisites. Attendees that follow the Data Analyst, Data Scientist and Data Engineers paths should have:

• Some experience in SQL and Python
• Some understanding of data science
• Ability to pick up programming skills easily

Attendees that will follow the Developer path should have:

• Some experience in Javascript
• Programming skills
To educate business, data and software development professionals on how to identify problems that can be solved with telematics data, how to extract and manage that data, how to leverage analytics and machine learning to derive insights from big data and how to deliver solutions to create value.

Afterward, you should be able to take these learnings and apply them to your own business problems and those of your customers to add value.
You will receive a Geotab Data Bootcamp Certificate.
We will be providing you with sample data to work on throughout the bootcamp. You're welcome to ask about your specific problems to our speakers during breaks and lunches but the core work will be done on the provided data.
We will be providing you with sample data to work on throughout the bootcamp.
Yes! A machine learning background is not a prerequisite and we will provide you with the code and background information needed throughout the sessions.
Yes! You can join the recommended sessions on the Business Expert path. This path was customized to meet the needs of business professionals who work directly with fleet management, traffic management, etc.
View last rendered: 07/16/2024 00:28:47