Data Management and Statistical Data Analysis using R Course

3 years ago Posted By : User Ref No: WURUR82872 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 23-08-2021 - 27-08-2021
Data Management and Statistical Data Analysis using R Course, Nairobi, Kenya
Training or Development Class Title
Data Management and Statistical Data Analysis using R Course
Event Type
Training or Development Class
Training or Development Class Date
23-08-2021 to 27-08-2021
Location
Nairobi, Kenya
Organization Name / Organize By
Upskill Development Institute
Organizing/Related Departments
Upskill Training Department
Organization Type
Education Institution
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries

Education/Teaching/Training/Development

Research/Science

Agriculture/Agribusiness

Fresher/Trainee/Professionals

Location
Nairobi, Kenya

Click on this link to register to attend

Website: https://upskilldevelopment.com

Introduction

R is a programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical data analysis. You will start with the most basic importing techniques and advanced ways to handle even the most difficult datasets to import. Next, you will move on to create static plots, while the second will show how to plot spatial data on interactive web platforms such as Google Maps and Open Street maps. Finally, you will learn to implementation and data analysis.

 

Duration

5 days

 

Who Should Attend?

Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyze data with R,

 

Course Objective:

  • Import and export data in various formats in R
  • Perform advanced statistical data analysis
  • Visualize your data on Google or Open Street maps
  • Enhance your data analysis skills and learn to handle even the most complex datasets
  • Learn how to handle vector and raster data in R

Course content

  • Introduction
  • Importing Data in Table Format
  • Handling the Temporal Component
  • Importing Raster Data
  • Exporting Data
  • Descriptive Statistics
  • Manipulating Vector Data
  • Manipulating Raster Data
  • Visualizing Spatial Data
  • Interactive Maps
  • Global Economic Maps with Open Data
  • Point Pattern Analysis of Crime
  • Cluster Analysis of Earthquake Data
  • Time Series Analysis of Wind Speed Data
  • Geostatistics
  • Regression and Statistical Learning

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: [email protected] Tel: +254 721 331 808

Training Venue

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Click on this link to register to attend

Website: https://upskilldevelopment.com

 

Registration Fees
Available
Registration Fees Details
Course fee: 1000 usd
Registration Ways
Email
Phone
Website
Address/Venue
  Upskill Training Center, Nairobi Kenya 
Official Email ID
Contact
Daniel Ndung'u

Upskill Training Center, Nairobi Kenya

[email protected]

   +254721331808