Statistics is the science of
Therefore, data scientist/analyst need to know statistics. Post this course you should develop conceptual understanding of business statistics, its applications. You would perform statistical inference and modelling to understand data and make decision based on data.
You should be able to understand the statistical results effectively and in the context of business problem without getting overwhelmed by the statistical jargon. You would learn to analyse and visualize data in R.
You should be able to demonstrate mastery over statistical data analysis from exploratory data analysis to inference to modelling, suitable for applying for business analyst or data scientist positions.
R (Programming language) is free programming language and software environment for statistical computing and graphics. The R language is widely used among data scientist, statisticians and data miners for developing data models and data analytics. R has become one the most sought-after skills in 2018.
Statistics learning objectives:
R- (programming language) learning Objectives:
The course assumes that the student has no prior statistical or programming. However, comfort with college level math is must. Student need not know the math but should be comfortable with it.
He Primarily consults in the area of Digital Marketing. Mithun has consulted for multiple data projects as a Freelancer. Prior to this he was heading a team of stock analyst with a leading Bank in India.
In terms of Qualification, he has PG in Business Analytics and Business Intelligence from Illinois Institute of Technology. He is also a Chartered Market Technician (CMT) which is the highest certification in the field of Technical Analysis of stock market data. He also has ......