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OPPORTUNITIES: Training

STATISTICAL LEARNING

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to three monthsNo Comments
STATISTICAL LEARNING

14.09.2023 |

This introductory-level course in supervised learning covers regression and classification techniques, including linear and polynomial regression, logistic regression, cross-validation, and more. It also touches on some unsupervised learning methods like principal components and clustering. The course emphasizes practical understanding without heavy math, using R for computing and providing detailed tutorials on its usage. Explore modern data analysis essentials with us.

This is not a math-heavy class, so we try and describe the methods without heavy reliance on formulas and complex mathematics. We focus on what we consider to be the important elements of modern data analysis. Computing is done in R. There are lectures devoted to R, giving tutorials from the ground up, and progressing with more detailed sessions that implement the techniques in each chapter. We also offer a separate version of the course called Statistical Learning with Python – the chapter lectures are the same, but the lab lectures and computing are done using Python.

The lectures cover all the material in An Introduction to Statistical Learning, with Applications in R by James, Witten, Hastie and Tibshirani, with Applications in R (second addition) by James, Witten, Hastie and Tibshirani (Springer, 2021). The pdf for this book is available for free on the book website.

Prerequisites: Foundational knowledge in statistics, linear algebra, and computing is recommended.

Instructors: Learn from Trevor Hastie, Professor of Statistics at Stanford University, and Robert Tibshirani, Professor in Health Research and Policy and Statistics at Stanford University.

Details

Target audience

Digital skills for ICT professionals

Digital technology

Digital skills

Level

Basic

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity

R PROGRAMMING FUNDAMENTALS

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to three monthsNo Comments
R PROGRAMMING FUNDAMENTALS

13.09.2023 |

This course delves into the fundamentals of R, a popular programming language and software environment extensively utilized by data analysts, statisticians, and data scientists for statistical computing and graphics across the globe. It provides an introductory journey into R, encompassing installation procedures and foundational statistical operations. The course equips you with the skills to handle variables and external datasets, create functions, and offers insights from one of the R language’s co-creators, Robert Gentleman. Explore the world of R and enhance your statistical computing capabilities with this comprehensive course.

This course equips you with core competencies in R, covering data types, variables, vectors, matrices, lists, data frames, data import, logical statements, loops, functions, data plotting, visualization, and basic statistical functions. Prior experience in a scientific or engineering discipline is helpful but not mandatory, making it accessible to learners with basic computer skills. Join us to enhance your proficiency in R and excel in statistical computing and data analysis.

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology

Web development

Software engineering

Big Data

Level

Basic

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity

COMPUTER SCIENCE 101

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to three monthsNo Comments
COMPUTER SCIENCE 101

11.09.2023 |

Computer Science 101 is a stand-alone course that teaches the basic ideas of computer science to an audience with zero previous experience. Computers may look very complicated, but in reality they only work on a few simple circuits. The course demystifies and brings these patterns to life, which is useful for anyone using computers today.

Course participants play and experiment with short pieces of “computer code” to understand the power and limitations of computers. Everything works within the browser, so there is no additional software to download or install. CS101 also provides general information about computers today: what is a computer, what is hardware, what is software, what is the Internet. Anyone who knows how to use a web browser can be successful with this course. No previous computer science experience is required.

Topics

  • The nature of computers and code, what they can and cannot do
  • How computer hardware works: chips, cpu, memory, disk
  • Necessary jargon: bits, bytes, megabytes, gigabytes
  • How software works: what is a program, what is “running”
  • How digital images work
  • Computer code: loops and logic
  • Big ideas: abstraction, logic, bugs
  • How structured data works
  • How the internet works: ip address, routing, ethernet, wi-fi
  • Computer security: viruses, trojans, and passwords, oh my!
  • Analog vs. digital
  • Digital media, images, sounds, video, compression

Instructor

Nick Parlante, Senior Lecturer, Computer Science

Details

Target audience

Digital skills for all

Digital technology

Digital skills

Level

Basic

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity