Where do you start?
Posted: Sun Feb 09, 2025 5:44 am
You want to analyse big data.
The diagram illustrates the journey from data collection to the data output/product:
Big data simon1
So where do you start if you want to analyse big data using R? As with any other skill, it may take some time until one gains an acceptable level of knowledge to be able to carry out statistical analyses. A good starting point is to take one of the publicly available introductory online courses on Coursera, Big Data University or DataCamp. There are india rcs data also a large number of tutorial videos available on YouTube that provide you with an introductory-level guide on how to use R. The CRAN also contains a range of written documentation and manuals—it also stores the majority of publically available third-party R packages that are on offer. So this would be a great place to start your R journey.
To help guide researchers through big data processing and analysis, Szymon ran a course at the Big Data and Analytics Summer School 2015, organised by the Institute for Analytics and Data Science (University of Essex). His course “Big Data Methods in R” involved active learning methods such as case studies and real socio-economic data. It focused on four applications of the R environment and programming language to address big data problems.
The diagram illustrates the journey from data collection to the data output/product:
Big data simon1
So where do you start if you want to analyse big data using R? As with any other skill, it may take some time until one gains an acceptable level of knowledge to be able to carry out statistical analyses. A good starting point is to take one of the publicly available introductory online courses on Coursera, Big Data University or DataCamp. There are india rcs data also a large number of tutorial videos available on YouTube that provide you with an introductory-level guide on how to use R. The CRAN also contains a range of written documentation and manuals—it also stores the majority of publically available third-party R packages that are on offer. So this would be a great place to start your R journey.
To help guide researchers through big data processing and analysis, Szymon ran a course at the Big Data and Analytics Summer School 2015, organised by the Institute for Analytics and Data Science (University of Essex). His course “Big Data Methods in R” involved active learning methods such as case studies and real socio-economic data. It focused on four applications of the R environment and programming language to address big data problems.