Course: Statistical Analysis System (SAS)
Duration: 1 Month
Although analytics has been around for a long while, it wasn’t until the last 5 to 10 years that its importance in the business field has been realised. It was in the last 10 years that technology has been revolutionised and we now produce about 2.5 Quintilian bytes of data every day. This is more data than that was collected in two years, previously. What has also changed in the last decade is that we now have the means to sift through these 2.5 Quintilian bytes of data in a reasonable amount of time. All these changes have major implications for organisations today.
In organizations, analytics enables professionals to convert extensive data and statistical and quantitative analysis into powerful insights that can drive efficient decisions.
Therefore with analytics organizations can now base their decisions and strategies on data rather than on gut feelings. Moreover with the rate at which this data can be analyzed, organizations are able to keep tabs on the customer trends in near real time. As a result effectiveness of a strategy can be determined almost immediately. Thus with powerful insights, analytics promises reduced costs and increased profits.
The analytics Industry is one of the fastest growing in modern times with it poised to become a $50 billion market by 2019. With this sudden surge in the analytics industry there is a tremendous increase in the demand for analytics expertise across all domains, throughout all major organizations across the globe. It has been predicted that by 2020, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.
Once trained in the field, there are a number of opportunities to build a career. Some examples are listed below:
Individual contributor – Many scientific labs, both in the academic and commercial sector, are hiring people trained in bioinformatics to support the research of the lab. Positions are available for various levels and types of training. People in these positions generally work on a specific area of research.
Core facilities – Many institutions create a central resource for labs in an institution. These resources are call core facilities. Members of such groups often have a mix of skills and work on many different research projects with researchers in many different labs.
Educators – There is a demand for teaching bioinformatics at many different levels. Some Ph.D. level bioinformaticians will pursue an academic career, build their own research agenda and teach at the university level. In addition, there are a number of institutions who host a dedicated facility to teach bioinformatics to people inside the institution as well as to the greater community.
Software developers – Another career path that supports bioinformatics is the development of new algorithms and new tools. There are companies dedicated to building and deploying computational tools. Other bioinformatics software developers are hired within core facilities and within individual research labs.
Industries for this skilled Professional
Bio IT company, Biotechnology, Pharmaceutical , Hospitals, Clinical Organization , Diagnostic Laboratories, Health care Industry, Academic and research institutions
Statistical Analysis in Bioinformatics:
BigData Analytics , Microarray Data Analysis, Neuroinformatics Analysis, Phylogenetic Analysis, Sequence Analysis, Matlab Bioinformatics Tool Box, Matlab Microarray data analysis.
Project Duration: 3 -6 Months
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