Advanced R Programming for Statistical Analysis Mastery

Advanced R Programming for Statistical Analysis Mastery course is offered by Unisoft Technologies. Over the past two decades, we have nurtured over 50,000 IT professionals who have gone on to achieve remarkable success in the industry.

Our alumni network spans the globe, featuring individuals from diverse backgrounds, including undergraduates, those who have resumed education, and bright young engineering students.

Course Content:

• Probability & Statistics
• Introduction to Statistics – Descriptive Statistics, Summary Statistics Basic probability theory
• Statistical Concepts ( uni-variate and bi-variate sampling, distributions, re-sampling, statistical Inference, prediction error)
• Probability Distribution (Continuous and discrete-Normal, Bernoulli, Binomial, Negative Binomial, Geometric and Poisson distribution)
• Bayes’ Theorem
• Central Limit Theorem
• Data Exploration & preparation Concepts of Correlation
• Regression
• Covariance
• Outliers etc.
• R Programming
• Introduction & Installation of R
• R Basics
• Finding Help
• Code Editors for R
• Command Packages
• Manipulating and Processing Data in R
• Reading and Getting Data into R
• Exporting Data from R
• Data Objects- Data Types & Data Structure
• Viewing Named Objects
• Structure of Data Items
• Manipulating and Processing Data in R ( Creating, Accessing, Sorting Data Frames, Extracting, Combining, Merging, Reshaping Data Frames)
• Control Structures, Functions in R (numeric, character, statistical)
• Working with objects
• Viewing Objects within Objects
• Constructing Data Objects
• Building R Packages
• Running and Manipulating Packages
• Non Parametric Tests – ANOVA
• Chi – Square
• T – Test
• U – Test
• Introduction to Graphical Analysis
• Using Plots (Box Plots Scatter Plot, Pie Charts, Bar Charts, Line Chart)
• Plotting variables
• Designing Special Plots
• Simple Liner Regression
• Multiple Regression