Data Analysis with R
Data Analysis with R
Data Analysis with R
Data analysis is the upcoming source of numerous opportunities. It is focused on analysing data sets and then applying statistical techniques for making decisions and predicting the success of businesses. R software is widely used for data analysis and graphical representation of data. Thus, getting certified in Data analysis and R will create huge opportunities for career progression for you.
Course Outline
The topics covered in this exam are as follows-
• Introduction
• Descriptive Statistical Measures
• Probability Distributions
• Sampling and Estimation
• Statistical Inference
• R Programming Language Introduction
• Reading Data from files
• Probability Distributions
• Statistical Models in R
• R Graphics Facilities
• R Data Import/Export
Data Analysis with R FAQs
What do we study in Data Analysis with R?
The topics covered in thisexamare as follows-
• Introduction
• Descriptive Statistical Measures
• Probability Distributions
• Sampling and Estimation
• Statistical Inference
• R Programming Language Introduction
• Reading Data from files
• Probability Distributions
• Statistical Models in R
• R Graphics Facilities
• R Data Import/Export
Who should appear for this exam?
This exam is best suited for-
• Working Professionals
• Programmers
• Software developers
• Graduates
• Executive managers
Where do we use R?
• Linear and nonlinear modelling
• Statistical tests
• Classification
• Time-series analysis
• Clustering
What does Data Analysis with R?
Data analysis is the upcoming source of numerous opportunities. It is focused on analysing data sets and then applying statistical techniques for making decisions and predicting the success of businesses. R software is widely used for data analysis and graphical representation of data.