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3 DAY COURSE

Brian Sletten's Data Science with R Workshop

Topics covered at DATA-SCIENCE-01-03
View Schedule & Book More dates available

Next up:

Join this workshop on Data Science with R to gain the skills you need to get started with data science, including statistical and numerical methods and R. You will also learn about visualising data, big data environments and how to interact with linked data in R. Upon completion of this Data Science workshop, you will have an understanding of relevant languages and tools.

As there is a rush to hire data scientists these days, there is a coincident rush to update resumes to include the term "Data Scientist". Unfortunately, like most types of science, it is less a single topic and more a multi-disciplinary way of thinking, inquiring and communicating. Individuals do not need to know everything about the field, but teams should be composed of individuals who collectively do. Attending this workshop won't make you a data scientist overnight, but you will learn to be one in time and will have a study plan for moving forward in this field.

Learn how to:

Apply the following skills to start your progression to become a Data Scientist:

  • Maths
  • Statistics
  • Machine learning
  • Visualization
  • Programming languages (R, Julia, Python)
  • Open source Data Science Tools
  • Big Data
  • Linked Data

What the community says

"Fantastic ability to keep us all interested and happy with difficult content despite very different backgrounds."

Rosie Coleman

"Brian's material & ability to communicate are superlative."

Attendee

"Brian is an excellent teacher of these concepts."

Attendee

"Scintillating exposition about data science."

Attendee

"This last seminar is easily THE BEST session I attended."

Attendee

About the Author

Brian Sletten

Brian Sletten is a renowned consultant, speaker and software engineer with a focus on forward-leaning technologies. He provides advice and practical solutions for organizations interested in adopting disruptive technologies and concepts to their development and management.

  • Data Science as a field
  • Basic statistics and numerical methods for dealing with data
  • Doing Data Analysis in Spreadsheets
  • The R programming language, its environment and online ecosystem
  • R's visualization packages
  • Interacting and visualizing data with D3.js
  • Interacting with Big Data environments in R
  • Interacting with Linked Data in R

Audience

The course is intended for anyone who works as a developer, DBA, manager or business-oriented role with a technical leaning. It will be an engaging, hands on exposure to a wide variety of new skills as well as a path for moving forward in these various disciplines.

Prerequisites

The course is intended for a wide audience and assumes only general programming skills.

Bring your own hardware

To participate in this course you are required to bring your own laptop so you can develop with your own tools and languages.

If you are unable to bring your own laptop and you let us know at least 2 weeks prior to your attendance of this course, our team will be able to provide you with a laptop pre-installed with the above environment.

Overview

Join this workshop on Data Science with R to gain the skills you need to get started with data science, including statistical and numerical methods and R. You will also learn about visualising data, big data environments and how to interact with linked data in R. Upon completion of this Data Science workshop, you will have an understanding of relevant languages and tools.

As there is a rush to hire data scientists these days, there is a coincident rush to update resumes to include the term "Data Scientist". Unfortunately, like most types of science, it is less a single topic and more a multi-disciplinary way of thinking, inquiring and communicating. Individuals do not need to know everything about the field, but teams should be composed of individuals who collectively do. Attending this workshop won't make you a data scientist overnight, but you will learn to be one in time and will have a study plan for moving forward in this field.

Learn how to:

Apply the following skills to start your progression to become a Data Scientist:

  • Maths
  • Statistics
  • Machine learning
  • Visualization
  • Programming languages (R, Julia, Python)
  • Open source Data Science Tools
  • Big Data
  • Linked Data

What the community says

"Fantastic ability to keep us all interested and happy with difficult content despite very different backgrounds."

Rosie Coleman

"Brian's material & ability to communicate are superlative."

Attendee

"Brian is an excellent teacher of these concepts."

Attendee

"Scintillating exposition about data science."

Attendee

"This last seminar is easily THE BEST session I attended."

Attendee

About the Author

Brian Sletten

Brian Sletten is a renowned consultant, speaker and software engineer with a focus on forward-leaning technologies. He provides advice and practical solutions for organizations interested in adopting disruptive technologies and concepts to their development and management.

Program
  • Data Science as a field
  • Basic statistics and numerical methods for dealing with data
  • Doing Data Analysis in Spreadsheets
  • The R programming language, its environment and online ecosystem
  • R's visualization packages
  • Interacting and visualizing data with D3.js
  • Interacting with Big Data environments in R
  • Interacting with Linked Data in R
Audience

Audience

The course is intended for anyone who works as a developer, DBA, manager or business-oriented role with a technical leaning. It will be an engaging, hands on exposure to a wide variety of new skills as well as a path for moving forward in these various disciplines.

Prerequisites

The course is intended for a wide audience and assumes only general programming skills.

Bring your own hardware

To participate in this course you are required to bring your own laptop so you can develop with your own tools and languages.

If you are unable to bring your own laptop and you let us know at least 2 weeks prior to your attendance of this course, our team will be able to provide you with a laptop pre-installed with the above environment.