Course Description
Learning Data Analysis with R
Global Edulink
Overview
R is a statistical computing language that is widely used in data analysis and statistics and is a highly regarded skill that is desired in candidates aspiring to get into the industry. If you too are an individual aspiring to or already in the data analysis or statistics industry looking to improve your skills in the area, this course in data analysis with R might just be the one you were looking for. This course is set to thoroughly educate you on R to use it effectively in your data analysis activities.
Data is the foundation in data analysis, data science and statistics, and this course will start off by teaching you how to import data from tables, FTP sites and read.lines, along with guidelines on how to clean the downloaded data to detect and rectify inaccurate data. You will then move learn about vector and raster data and on how to import, export and manipulate it in R as per your requirements. The descriptive aspects of statistics such as the dataset, spread, data plots, multivariate data and outliers will also be duly covered through this course.
Information has to be presented in an effective way that provides maximum data on the subject looked for. Many data visualization methods exist for effective information representation and this course is set to disclose many of these methods, with special attention to spatial data visualization. This course will also provide you an opportunity to improve your data analysis skills by examining the point pattern, cluster and time series analysis. By the end of this course, you will have an outstanding knowledge on R to tremendously improve the quality of your data analysis.
Course Curriculum
- Section 1: Importing Data In Table Format
- Section 2: Handling The Temporal Component
- Section 3: Importing Raster Data
- Section 4: Exporting Data
- Section 5: Descriptive Statistics
- Section 6: Manipulating Vector Data
- Section 7: Manipulating Raster Data
- Section 8: Visualizing Spatial Data
- Section 9: Interactive Maps
- Section 10: Creating Global Economic Maps With Open Data
- Section 11: Point Pattern Analysis Of Crime In The Uk
- Section 12: Cluster Analysis Of Earthquake Data
- Section 13: Time Series Analysis Of Wind Speed Data
- Section 14: Geostatistics
- Section 15: Regression And Statistical Learning
Access duration
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.
Who is this course aimed at?
This course is aimed at individuals aspiring to or already in the data science, data analysis or statistics field.
Method of assessment
The course is assessed online with a final, multiple-choice test, which is marked automatically. You will know instantly whether you have passed the course.
Certification
Those who pass this test will get a certificate in Learning Data Analysis with R
| College Name | Global Edulink |
| Course Category | Business, Data Analytics |
| Course Type | Online Learning |
| Course Qualification | CPD |
| Course Location | Westmeath, Dublin, UK |
| Course Fee | 49 |
| Course Duration | 365 Days |
| Entry Requirements | • Learners must be age 16 or over and should have basic understanding of the English Language, numeracy, literacy and ICT. • Some knowledge or experience in R and programming is preferred |
| Career Path | This certificate will enhance your resume for a number of jobs in the job market. You can also use this certificate to study further in the area or to make substantial progress in your career. Listed below are few of the jobs this certificate will benefit you in, along with the average UK salary per annum according to https://www.payscale.com, • Data analyst – £25,972 per annum • Data scientist – £35,226 per annum • Data Manager – £29,986 per annum • Statistician – £31,231 per annum |
Course Provider
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