Features

Features
Certification:
  • TAK
Dedicated training:
Number of training hours:
  • 16
Producer:
Training language:
  • polski
Training level:
  • Podstawowy
Type of training:
  • stacjonarnie; online

Description

Company Description

Infoshare is the largest tech community in CEE and the organizer of the leading tech conference in Gdańsk. It connects startups, investors, corporations, and innovation enthusiasts. It promotes entrepreneurship, knowledge sharing, and networking. Through events, competitions, and programs, it supports the development of the tech ecosystem in Poland and the region.

Training Description

R is both a programming language and a computing and graphics environment. Learn how to use it effectively when working with data. Discover the process of creating reports from data, advanced statistical techniques, and intuitive ways to visualize data. R is a very simple and user-friendly language, which is why it is successfully used by people in various positions, not necessarily programmers.

Who is the training for
  • For statisticians, analysts, and anyone involved in data analytics.
  • Infoshare logo
  • For those who want to start their professional journey in business intelligence, data science, bioinformatics, or biostatistics.
Goals
  • Acquire skills in regression analysis and advanced time series analysis, allowing you to conduct comprehensive data analysis in various contexts.
  • Master the basics of programming in R, including creating functions, using conditional statements, and loops.
Benefits
  • You will gain basic knowledge of R, a programming language and computing and graphics environment ideal for effective data work, report creation, advanced statistical analysis, and data visualization.
  • You will learn to use packages in R, understand different data types, vectors, operators, built-in functions, lists, matrices, and data frames.
  • You will learn data analysis techniques in R, including descriptive statistics, hypothesis testing, variance analysis, correlation analysis, and time series analysis.
Training Program
 
  1. Module 1

  • Statistical package R – introduction from scratch

  • Packages

  • data types

  • vectors

  • operators

  • built-in functions

  • lists matrices

  • data frames

  • functions

  • conditional statements

  • loops

  1. Module 2

  • Data analysis using R

  • Basics of descriptive statistics

  • Hypothesis testing

  • Variance analysis

  • Correlation analysis

  • Time series analysis

  • Data analysis using R

  • Regression analysis

  • Time series analysis

 
Duration

16h/2 days

Price includes

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