Foundation Rのトレーニングコース
The objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data.
コース概要
Basic overview of R and R Studio
- R overview
- R Studio Environment Windows
- Script Editor Window
- Data Environment
- Console
- Plots/Help/Packages
Working with Data
- Introduction to vectors and matrices (data.frame)
- Different types of variables
- Numeric, Integer, factor etc
- Changing variable types
- Importing data using R Studio menu functions
- Removing variables ls() command
- Creating variables at the console prompt – single, vector, data frame
- Naming vectors and matrices
- Head and tail commands
- Introduction to dim, length and class
- Command line import (reading .csv and tab delimited .txt files)
- Attaching and detaching data (advantages vs data.frame$)
- Merging data using cbind and rbind
Exploratory Data Analysis
- Summarising data
- Summary command on both vectors and data frames
- Sub-setting data using square brackets
- summarising and creating new variables
- Table and summary commands
- Summary statistic commands
- Mean
- Median
- Standard Deviation
- Variance
- Count & frequencies
- Min & Max,
- Quartiles
- Percentiles
- Correlation
Exporting data
-
- Write table .txt
- Write to a .csv file
R Workspace
- Concept of Working Directories and Projects (menu driven and code – setwd())
Introduction to R scripts
- Creating R Scripts
- Saving scripts
- Workspace images
Concepts of packages
- Installing packages
- Loading packages into memory
Plotting data (using standard default R plot command and ggplot2 package)
- Bar Charts and Histograms
- Boxplots
- Line charts / time series
- Scatter plots
- Stem and leaf
- Mosaic
- Modifying plots
- Titles
- Legends
- Axis
- Plot Area
- Exporting a plot to a third party application
要求
There are no specific requirements needed to attend this course.
Open Training Courses require 5+ participants.
Foundation Rのトレーニングコース - ご予約
Foundation Rのトレーニングコース - Enquiry
Foundation R - Consultancy Enquiry
お客様の声 (1)
今ではコーディングに自信が持てるようになりました。これまでやったことはありませんでしたが、今ではそれがロケット科学ではないことを理解しており、必要に応じて実行できます。
Anna - Birmingham City University
コース - Foundation R
Machine Translated
関連コース
Advanced Data Analysis with TIBCO Spotfire
14 時間TIBCO Spotfire Analyst is a web and Windows based client application for analyzing data and creating analytic dashboards.
This instructor-led, live training (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.
By the end of this training, participants will be able to:
- Share visualizations among different team members.
- Secure access to software based on roles and access controls.
- Create visualizations such as map charts.
- Integrate statistical computing languages such as R with Spotfire.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Introduction to Spotfire
14 時間TIBCO Spotfire Analyst is a web and Windows based client application for analyzing data and creating analytic dashboards.
This instructor-led, live training (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.
By the end of this training, participants will be able to:
- Install and configure TIBCO Spotfire.
- Combine data from different databases.
- Visualize large datasets.
- Create and share complex dashboards.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
AI-Driven Data Analysis with TIBCO Spotfire X
14 時間TIBCO Spotfire X is a business intelligence and augmented analytics tool that combines natural language, artificial intelligence (AI), and streaming data technologies.
This instructor-led, live training (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.
By the end of this training, participants will be able to:
- Install and configure TIBCO Spotfire X.
- Understand the features and architecture of TIBCO Spotfire X.
- Understand the concepts behind augmented and predictive analytics.
- Learn how to load, process, and visualize data using Spotfire X.
- Create interactive and enhanced data visualizations.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Data Analysis with SQL, Python and Spotfire
14 時間In this instructor-led, live training, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
TIBCO for Developers
21 時間TIBCO is a software suite for integrating, managing, and monitoring enterprise applications and information delivery. Two of its products, BusinessEvents (business rules engine) and ActiveMatrix Service Bus (lightweight enterprise service bus), are used for building and deploying event driven applications.
This instructor-led, live training (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event driven applications.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start developing.
- Build distributed, stateful, rule-based event-processing systems.
- Manage business events data and execute proper business rules.
- Reduce the event response time in large-scale, data driven applications.
- Build applications for fraud detection, track-and-trace, real-time customer offer generation, etc.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
TIBCO Statistica
14 時間TIBCO Statistica is an advanced analytics system that provides data analysis, data management, data visualization, data mining, statistics, and machine learning solutions for businesses.
This instructor-led, live training (online or onsite) is aimed at engineers, researchers, and data analysts who wish to use TIBCO Statistica features to create analytic workflows and models.
By the end of this training, participants will be able to:
- Install and navigate the TIBCO Statistica program to build and manage data analysis projects.
- Understand statistics basics to analyze data and generate useful insights for the business.
- Explore advanced topics involving big data, machine learning, and experimental design (DOE) using TIBCO Statistica.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Monitoring with Grafana
14 時間Grafana is a visualization and metric analytic suite. Grafana presents a visual representation of real-time data for application analytics. Grafana is most commonly used for home automation, process control, and more.
The aim of the course is to get familiar with modern data visualisation tool used for system monitoring - Grafana. The course is oriented for using Grafana in a time-series data environment. Participants will get both operational and administrative skills of day-to-day work with Grafana and most popular data sources like Prometheus and Graphite. In addition, Loki - a modern, Grafana-integrated approach for fetching and exploring logs is presented. The course is based on hands-on workshop that will take around 75% of the course time.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start creating visualizations in Grafana.
- Set up Grafana for high availability.
- Customize panels and dashboards with data.
- Configure a reverse proxy for fast loading speeds.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Advanced Grafana
14 時間Grafana is a visualization and metric analytic suite that provides tools for creating a visual representation of real-time data for application analytics.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.
By the end of this training, participants will be able to:
- Gain an in-depth understanding of advanced Grafana concepts and components.
- Leverage template variables and dynamic dashboards for enhanced data visualization.
- Use Grafana Query Language for complex queries.
- Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Grafana and GLPI Administration
21 時間Grafana is an open-source platform for monitoring and observability that provides tools to create, explore, and share dashboards and alerts for your infrastructure and applications. GLPI, on the other hand, is an open-source IT asset management and helpdesk system that is used for tracking and managing IT resources, including hardware, software, and user support tickets.
This instructor-led, live training (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.
By the end of this training, participants will be able to:
- Create and customize Grafana dashboards with different visualizations.
- Implement alerting and notifications for monitoring.
- Administer user accounts, teams, and permissions.
- Manage IT assets effectively, including hardware and software inventory.
- Implement a helpdesk system for user support and ticket management.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Grafana and Graphite
14 時間Grafana is an open source visualization and metric analytic suite for visualizing real-time data of application analytics. Graphite is an open source software for monitoring and graphing computer system data. Together with Grafana and Gaphite, users are able to quickly diagnose system issues and monitor system performance.
This instructor-led, live training (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.
By the end of this training, participants will be able to:
- Aggregate and visualize metrics about systems and applications.
- Create a StatsD client for gathering application metrics.
- Build informative and dynamic dashboards with Grafana.
- Gather insights from back-end performance.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Advanced Elasticsearch and Kibana Administration
35 時間Elasticsearch and Kibana are powerful tools for managing and visualizing data stored in Elasticsearch indices.
This instructor-led, live training (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.
By the end of this training, participants will be able to:
- Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
- Create and manage Elasticsearch indices, mappings, and data models.
- Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
- Design and build interactive dashboards in Kibana using various visualization types and techniques.
- Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
ELK: Elasticsearch, Logstash and Kibana for Administrators
14 時間This instructor-led, live training is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana).
The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.
Format of the course
- Heavy emphasis on live practice
- Most of the concepts are learned through exercises and hands-on implementation and deployment
Kibana: Essentials
14 時間This training introduces Kibana to the users of Elasticsearch.
Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.
Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.
Knowledge Discovery in Databases (KDD)
21 時間Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing.
In this instructor-led, live course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes.
Audience
- Data analysts or anyone interested in learning how to interpret data to solve problems
Format of the Course
- After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.
Introduction to Data Visualization with Tidyverse and R
7 時間The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.
In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.
By the end of this training, participants will be able to:
- Perform data analysis and create appealing visualizations
- Draw useful conclusions from various datasets of sample data
- Filter, sort and summarize data to answer exploratory questions
- Turn processed data into informative line plots, bar plots, histograms
- Import and filter data from diverse data sources, including Excel, CSV, and SPSS files
Audience
- Beginners to the R language
- Beginners to data analysis and data visualization
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice