Level 7 Postgraduate Certificate in Statistical Computing with R Programming

Level 7 Postgraduate Certificate in Statistical Computing with R programming is designed to provide in-depth knowledge, practical skills and key understanding to learners about calculus, in-depth and statistical computing in the R environment. Statistical Computing is an expanding area in the statistical research, methods, tools and applications. It includes computationally intensive methods in statistics, such as Monte Carlo methods, bootstrap, MCMC, density estimation, nonparametric regression, classi?cation and clustering, and visualization of multivariate data. R is a statistical computing environment based S language. The software is free under the terms of the Free Software Foundation’s GNU General Public License. You can download the course as per the course lesson instructions from our learning platform. This course is self-paced, therefore, you can spend the maximum time to download study materials & work on the real-life examples to analyse, assess and interpret data with real-life practical experience to use a range of computation technique using R programming.

At the end of this qualification, you will be able to

• Understand statistical tools, techniques and applications
• Apply statistical methods to new problems
• Analyse and assess data and interpret results
• Apply statistical computing techniques using statistical software R to the data and get results

Intake: Start Anytime

The overall structure of the course is based on the number of topics that are covered in this qualification. Main topics of study are

• Installing R and understanding data
• Storing and plotting a single value and multiple values
• Methods for generating random variables
• Controlling objects
• Performing operations (doing arithmetic, making the comparison, and manipulating elements)
• Testing condition including benchmarking and understanding loops
• Employing functions such as distributing patterns and extracting statistics
• Building matrices and constructing data frames
• Performing tests, data analysis to design themes and plotting perfection

Qualification Credits and Duration

Level 7 Postgraduate Certificate in Statistical Computing with R Programming is 15 credits qualification and can be completed in the flexible learning environment (1 month to six months).

How will you study?

Our learning portal will be available to you study 24/7. You can use your Desktop Computer, Laptop, Mobile or Tablet anytime in a flexible way to study entirely online.

Assessment Methods

Assessment methods include only assignments. There is no exam in this course. You will be required to submit an assignment of each unit of minimum 1500-2500 words in length to pass the unit and to achieve unit credits. Your assignment topic will be based on knowledge about R and its importance in Statistics and practical skills on the random data using R programming. You will upload the work to the Online Learning Platform as a portfolio based on the qualification learning objective to achieve credits.

Results and Certificate

We will update your result to the learning portal. At the end of the course, you will achieve a certificate and a transcript by the awarding body.

Additional Note – Assessment Fee

Assessment fee for this entire course is £200 (including awarding body registration, results, certificate and transcripts). No Extra Cost.

This qualification is useful for individuals from all over the world who are already on job for personal and professional development or re-entering employment after a period of absence in any sector where your job responsibility will be to analyse and assess data using statistical computing (R programming). If you are interested to join the world of statistics or mathematics, you can also enrol in this course.

Most of our courses don’t have entry requirements. However, we prefer learners to have a computer/Laptop or an equivalent device with word/excel and a good internet speed.

You can have a range of careers as R programmer, data analyst, data scientist or data specialist or an equivalent job in the public and private sector as they will have comprehensive statistical skills to handle and analyse data with skills to interpret for effective communication and decision-making skills.

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