Ticket : R Programming for Data Science Course
Sale Date Ended
This Course is first in the series of our Data Science courses. It's aimed at providing a strong foundation in R-programming for Data Science enthusiasts. R-Statistics is the most widely used tool in the area of Data Analysis (used extensively in both Industry and Research) and so, is the base for all of our courses. This course is meant for people planning to start a career in the Data Science field and also for those who know the basics, but lack practice and grip over the subject.
For Any queries reach out to firstname.lastname@example.org / +91- 8123617991
Instructor : Raju Mishra (Linkedin)
Detailed Course Content : Course Website
- Introduction to R
[What is R. Why R. Scope and Applications. Drawbacks of using R]
- Getting Help
[help(), mailing list, R webpage, ? & ?? Operators]
- Structure of Program in R
[Using R console. Scripting in R]
- Packages Overview
[Types of Packages. R base-Package. User Created Package. Installation]
[Basic - Integer, Numeric, Character, Logical, Complex, Special Data-type. Advanced - Vector, List, Matrices, Table, Data Frame, Array]
- Loops and Conditional
[Basic - usages of if-else, while, repeat and for loops in the context of R. Advanced - apply(), sapply(), l apply, t apply(), by(), plyr packages (xxply functions) etc.]
- String Manipulation in R
[Introduction & Techniques. Regular expressions in R - sub(), gsub(), grep(), substr(), strsplit(), regexpr(), gregexpr()]
- Functions in R
[Structure and usages of functions. User defined functions. Using built in functions - Logarithmic, Exponential, Operation on Sets, pmin() & pmax(), round() etc. ]
- Graphics in R
[Use of graph and charts. Basic elements of graph generation. Graphics in R base-Package - par(), plot(). Grammar of graphics. ggplot2 package, basic elements of ggplot2 - qplot(), ggplot(), layered structure of ggplot2. Creating various charts using R base-Package & ggplot2- Pie, Bar, Histogram, Bubble etc.]
- R Connection with Database
[working with MySql and R. R Packages for database connection. Analyzing Data from Database.
- Debugging in R
[Introduction. Example functions to debug. sbrowser(), debug(), undebug(), trace(), untrace(), setBreakPoint() etc.
# Project [Each section is concluded with hands-on exercises (on inbuilt dataset and also by reading data from a file/database). Eventually, all the small fragments combine to do analysis of a real case (we have got data from a Clothing Store Chain, which has multiple stores across Bangalore). So, towards the end, participants will be able to do certain analysis on this data set and see the patterns using R graphics and charting tools.]
The course content may vary slightly from what is mentioned in the course index. The money is not refunded to people who attend even one day of the 2-day course workshop. The refund is only meant for people who couldn't attend the course, post registration, because of some emergency situation. Glia Services Pvt. Ltd. reserves all the rights of refund and changes in course content and venue.