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Code: DSC200
Duration in days: 3
€ 1499

Course Data Analysis with R

14-01 till 16-01-2019
18-03 till 20-03-2019
20-05 till 22-05-2019
15-07 till 17-07-2019
16-09 till 18-09-2019
Your starting date
Region:

Audience Course Data Analysis with R

Data Analysis with RThe course Data Analysis with R is intended for Big Data analysts and scientists who want to use R to analyze their data and to make static analyzes.

Prerequisites Course Data Analysis with R

Experience with programming is beneficial for a good understanding but is not required.

Realization Training Data Analysis with R

The theory is treated on the basis of presentations and examples. The concepts are explained with demos. The theory is interspersed with exercises and there is ample time to practice. R Studio is used as a development environment. The course times are from 9.30 to 16.30.

Certification Data Analysis with R

The participants will receive an official certificate Data Analysis with R after successful completion of the course.

Contents Course Data Analysis with R

In the course Data Analysis with R you will learn programming in the language R and how you can use R for effective data analysis and visualization. R has become a standard platform for data analysis and making graphs and you can perform a huge set of statistical procedures that are not available in other statistical programs. You first learn how to install and configure R. Next you will learn how to quickly gain insight into the data by means of graphs and transformations. The input of data from different sources is treated. Also data types of R, such as vectors, arrays, matrices, lists, data frames and factors are discussed. As well as control flow in R with the family of apply functions. The course also discusses statistical analysis models such as linear and non-linear models, variable transformations and regressions. Finally, attention is paid to how to present results through graphs, reports or interactive dashboards. All this is explained with many practical examples and can also be applied to cases that are brought in by the course participants.

Module 1 : Intro R

Module 2 : Graphics and Plotting

Module 3 : Transformations

Overview of R
History of R
Installing R
The R Community
R Development
R Studio
R Console
R Style
Using R Packages
Cheatsheets
R Syntax
R Objects
ggplot2
Graphics Devices and Colors
High-Level Graphics Functions
Low-Level Graphics Functions
Graphical Parameters
Controlling the Layout
Changing Plot Types
Quick Plots and Basic Control
Aesthetics
Changing Plot Types
Labels
Themes and Layout
dplyr
R Functions
Functions for Numeric Data
Scoping Rules
mutate
arrange
group by
summarize
select
filter
joining
dataframe

Module 4 : Presentation

Module 5 : Data Cleaning

Module 6 : Date Times

rmarkdown
Reproducible research
Reporting
Sharing results
Repetitive Tasks
Family of apply Functions
apply Function
lapply Function
sapply Function
tapply Function
tidyr
spread
gather
seperate
unite
Logical Data
Missing Data
Character Data
Duplicate Values
NA’s
Time and Date Variables
lubridate
Setting a datetime
Getting values from a datetime
strftime Command
strptime Command
as.Date function
Datetimes Calculations
difftime Command
Time Series Analysis

Module 7 : Data Import

Module 8 : Linear Models

Module 8 : Non-Linear Models

R Datasets
Data.Frames
Importing CSV Files
Import from Text Files
Import from Excel
Import from Spss, SAS or Strata
Connecting to a database
Connecting to a cluster
Relational Databases and ODBC
dbplyr
What is a model?
Statistical Models in R
How to evaluate a model?
How to use a model?
Simple Linear Models
logistic regression
linear regression
R squared
p values
confidence intervals
Decision Trees
random forest
boosting
overfitting
Extra material depending on interest :
Interactive dashboards using Shiny
Web Scraping
Writing packages
Spark
Functional programming

Kantooradres:
SpiralTrain BV

Gebouw "De Sijnsmeester"
Standerdmolen 8 – 1.11
3995 AA Houten

IP Computer Training Centrum
Diemerhof 32-36
1112 XN Diemen

020 7600027
http://www.ip-computer-training-centrum.nl

Compu Act Opleidingen
Slinge 303
3085 ER Rotterdam

023 - 551 3409
www.computertraining.nl

Trainspot
Kleine Singel 33
3572 CG Utrecht

030 - 737 05 81
http://www.trainspot.nl

IP Computer Training Centrum
Leenderweg 292
5644 AE Eindhoven

040 - 256 65 20
http://www.ip-computer-training-centrum.nl