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Duration – 15 hour
R programming along with a substantial knowledge of statistics can help candidates to have a great career in data Analytics. R is also an widely used tool in many big firms like top Banks, IT, Retail, Healthcare, Pharma, Supply chain and logistics firms. Analyzing large data-sets can be done in a shorter period with the help of R programming. There is a huge shortage in the market for professionals with skills in R programming which makes it more interesting to pursue. Since R is a free software it is being widely used which creates a lot of opportunities for professional who are looking to pursue a career in R Programming.
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.
All Business Analytics Courses Bundle
$100
Intermediate and Advance R Programming
Overview
- History of R
- Advantages and disadvantages
- Downloading and installing
- How to find documentation
Introduction
- Using the RÂ console
- Getting help
- Learning about the environment
- Writing and executing scripts
- Object oriented programming
- Introduction to vectorized calculations
- Introduction to data frames
- Installing packages
- Working directory
- Saving your work
Variable types and data structures
- Variables and assignment
- Data types
- Data structures
- Indexing, subsetting
- Assigning new values
- Viewing data and summaries
- Naming conventions
- Objects
Getting data into the R environment
- Built-in data
- Reading data from structured text files
- Reading data using ODBC
Dataframe manipulation with dplyr
- Renaming columns
- Adding new columns
- Binning data (continuous to categorical)
- Combining categorical values
- Transforming variables
- Handling missing data
- Long to wide and back
- Merging datasets together
- Stacking datasets together (concatenation)
Handling dates in R
- Date and date-time classes in R
- Formatting dates for modeling
Control flow
- Truth testing
- Branching
- Looping
Functions in depth
- Parameters
- Return values
- Variable scope
- Exception handling
Applying functions across dimensions
- Sapply, lapply, apply
Exploratory data analysis (descriptive statistics)
- Continuous data
- Distributions
- Quantiles, mean
- Bi-modal distributions
- Histograms, box-plots
- Categorical data
- Tables
- Barplots
- Group by calculations with dplyr
- Split-apply-combine
- Melting and casting data
Inferential statistics
- Bivariate correlation
- T-test and non-parametric equivalents
- Chi-squared test
Base graphics
- Base graphics system in R
- Scatterplots, histograms, barcharts, box and whiskers, dotplots
- Labels, legends, titles, axes
- Exporting graphics to different formats
Advanced RÂ graphics: ggplot2
- Understanding the grammar of graphics
- Quick plots (qplot function)
- Building graphics by pieces (ggplot function)
General linear regression
- Linear and logistic models
- Regression plots
- Confounding / interaction in regression
- Scoring new data from models (prediction)
Conclusion
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300+ Courses
After your course completion, we provide course completion certificate as well.
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What People Are Saying
Abhilash -
A very good match. i am enjoying every bit.
Sonal-
Experience was quite good and it was very useful and well elaborated course.
Karan-
I FEEL AS IF I AM ATTENDING A WORLD CLASS TRAINING AND THE LECTURER HAS BEEN AWESOME!
Gilbert-
I find that the explanation is good and also understandable.
Seyed-
Really helpful, recommended to everyone to grow up your future skills for next level especially in this competitive market.
Mayur-
I really like this course, it was a good match for me :))
Mahesh-
Standard process and hands on covered nicely.
Emily-
Perfect, with complete hands on. Well structured and nicely covered.
Kevin-
Great Content, nice and up to the mark course.
Mayuresh-
Great courses. Beginner friendly and the explanations are clear and very easy to understand.
Saket-
Instructor showed multiple ways of using a concept and how to solve the problem. Excellent course and lecture by the instructor.
Tushar-
A very detailed explanation and quite handy tips and tricks! loved it
Sourabh-
Excellent lecture, pace of the instructor is very good, easy to understand
Rishi-
Instructor showed multiple ways of using a concept and how to solve the problem. Excellent course and lecture by the instructor.
Mahima-
This Courses is really useful for my career and surely i will recommend other to fulfill their career goals.
 Mauricio Roldan -
A pesar de no dominar perfectamente el idioma, se entiende bien.
Emile-
Yes lessons are very good. Not so fast, well explained
Kishore-
Worth course for the beginner to invest their time to learn this demanding skills.
