DI-02 Data Science and Machine Learning

Data science and machine learning by DNV GL

If you are interested in data science and machine learning, and in gaining hands-on data science experience, this classroom course is for you.

Description

The first day of this 3-day classroom training gives and overview, while the next two days are hands-on. The course is suitable for anyone (engineers, programmers) interested in learning more about data science and machine learning and in gaining hands-on experience.

Day 1 of the course is lecture-based - no programming experience is required. Topics covered are: business understanding (how to set up and start data science projects), a workflow for data science projects, data preparation, regression, classification, model evaluation, clustering and big data.

Days 2 and 3 go in-depth into the same topics, plus provide hands-on experience with common data science and machine learning tools: Orange ML, Jupyter Notebooks and scikit-learn. You can choose which tool to focus on, depending on Python skills.

On completion of the course you will have:

  • Better understanding of what is meant by data science and machine learning, and their value
  • Ideas about which types of problems in your own work are candidates for data science and machine learning
  • Experience in using the tools to get started
  • A basis for communicating in a meaningful way with others in the field
  • An understanding of machine learning as an analytic approach and not as a 'magical black-box hype'
  • Tips on some machine learning pitfalls to avoid
  • Introduction to analytics tools available and familiarization with some of them

Target group

The course is most suitable for those who are somehow working with data on a regular basis and would benefit from getting insights and motivation to what that data potentially could be used for.

The first day of the course is useful also for non-technical staff or management who wants to get insight into what machine learning is.

Contact us:

REGISTER HERE

Training offered on request

Request training

When:

21 January - 23 January 2020

Add to calendar 2020/01/21 09:00 2020/01/23 18:00 DI-02 Data Science and Machine Learning If you are interested in data science and machine learning, and in gaining hands-on data science experience, this classroom course is for you.
https://www.dnvgl.com/training/di-02-data-science-and-machine-learning-132236
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Available dates and venues

Duration:

3 days.

Prerequisite:

No previous knowledge in statistics is needed. Some Python experience will be needed if you want to use Jupyter Notebooks. You will need a PC for the hands-on exercises.

Course:

DI-02 Data Science and Machine Learning

Description

The first day of this 3-day classroom training gives and overview, while the next two days are hands-on. The course is suitable for anyone (engineers, programmers) interested in learning more about data science and machine learning and in gaining hands-on experience.

Day 1 of the course is lecture-based - no programming experience is required. Topics covered are: business understanding (how to set up and start data science projects), a workflow for data science projects, data preparation, regression, classification, model evaluation, clustering and big data.

Days 2 and 3 go in-depth into the same topics, plus provide hands-on experience with common data science and machine learning tools: Orange ML, Jupyter Notebooks and scikit-learn. You can choose which tool to focus on, depending on Python skills.

On completion of the course you will have:

  • Better understanding of what is meant by data science and machine learning, and their value
  • Ideas about which types of problems in your own work are candidates for data science and machine learning
  • Experience in using the tools to get started
  • A basis for communicating in a meaningful way with others in the field
  • An understanding of machine learning as an analytic approach and not as a 'magical black-box hype'
  • Tips on some machine learning pitfalls to avoid
  • Introduction to analytics tools available and familiarization with some of them

Target group

The course is most suitable for those who are somehow working with data on a regular basis and would benefit from getting insights and motivation to what that data potentially could be used for.

The first day of the course is useful also for non-technical staff or management who wants to get insight into what machine learning is.

Available dates and venues

Dates Venue Register by Course fee Computer
Dates
2020
Dates
21-23 January 2020
Venue
DNV GL office, London, UK
Register by
07 January 2020
Course fee
GBP 1635 per person, including lunch (excluding tax)
Computer
Laptop provided by DNV GL

DI-02 Data Science and Machine learning

REGISTER HERE