· Graduate or PGs from a recognized University in Life Science ( Biotech / Botany / Zoology / Microbiology / Chemistry) in Science with Physics, Mathematics, Statistics/ Nursing / Home Science / Food and Nutrition / Agriculture / Dairy technology / Horticulture / Forestry / Fisheries) OR
· Graduate from a recognized University in Health Sciences (MBBS / BDS / BAMS /BHMS / BUMS / BVSc. / BSSM / BNYS) OR
· Graduate from a recognized University in Allied Health Sciences (BMLT / BScMLT / BPT / BMIT / BSc MIT / BHIA / BScHIA / BOT / BSc (Sp & Hg)/ BASLP / BSc Opt. / Pharmacy (BPharma) OR
· BE ,M.E in Biotech / BCA / BSc IT ,M.Sc IT / BSc CS, M.Sc CS
· Post graduate and doctoral students, researchers & corporate working people related to life sciences.
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 revolutionized and we now produce about 2.5 quintillion 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 quintillion bytes of data in a reasonable amount of time. All these changes have major implications for organizations 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 2017. 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 2018, 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.
· Data Analytics users
· Data scientists
· Data engineers
Industries for this skilled Professional
Bio IT company, Biotechnology, Pharmaceutical , Hospitals, Clinical Organization , Diagnostic Laboratories, Health care Industry, Academic and research institutions
- Introduction to Analytics
- Introduction to SAS, GUI
- Types of Libraries, Creating
- Variable Attributes
- Name, Type, Format, Informat, Label
- Reading, Importing, Exporting and Copying Data
- Output Statements
- Nesting Do loops
- Do While and Do Until Statement
- Array elements and Range
- Proc report
- Retrieve & Summarize data
- Group, Sort & Filter
- Using Joins
- Defining and calling a macro
- Macro Parameters and Variables
Bangalore | Karnataka | India
Bangalore | Karnataka | India
Contact No : 8553794025| firstname.lastname@example.org
Project Work (Optional):
Statistical Analysis in Bioinformatics:
BigData Analytics , Microarray Data Analysis, Neuroinformatics Analysis, Phylogenetic Analysis, Sequence Analysis, Matlab Bioinformatics Tool Box, Matlab Microarray data analysis.