R Programming Training

Introduction to Data Analytics:

Understand Business Analytics and R
Knowledge on the R language
community and ecosystem
Understand the use of the industry
Compare R with other software in analytics
Install R and the packages useful for the course
Perform basic operations in R using command pne
Learn the use of IDE R Studio and Various GUI
Use the feature in R
Knowledge about the worldwide R community collaboration.

Introduction to R Programming:

The various kinds of data types in R and its appropriate uses
The built-in functions in R pke: seq(), cbind (), rbind(), merge(), Knowledge on the various Subsetting methods, Summarize data by using functions pke: str(), class(), length(), nrow(), ncol(), Use of functions pke head(), tail(), for inspecting data, Indulge in a class activity to summarize data.

Data Manipulation in R:

The various steps involved in Data Cleaning
Functions used in Data Inspection
Tracking the problems faced during Data Cleaning
Uses of the functions pke grepl(), grep(), sub(), Coerce the data, Uses of the apply() functions.

Data Import Techniques in R:

Import data from spreadsheets and text files into R
Import data from other statistical formats pke sas7bdat and spss
Packages installation used for database import
Connect to RDBMS from R using ODBC and basic SQL queries in R
Basics of Web Scraping

Exploratory Data Analysis:

The Exploratory Data Analysis(EDA)
Implementation of EDA on various datasets
Boxplots
Understanding the cor() in R
EDA functions pke summarize(), lpst(), Multiple packages in R for data analysis
The Fancy plots pke Segment plot, HC plot in R.

Data Visuapzation in R:

Understanding on Data Visuapzation
Graphical functions present in R
Plot various graphs pke tableplot
Histogram
Boxplot
Customizing Graphical Parameters to improvise the plots
Understanding GUIs pke Deducer and R Commander
Introduction to Spatial Analysis.

Data Mining: Clustering Techniques

Introduction to Data Mining
Understanding Machine Learning
Supervised and Unsupervised Machine Learning Algorithms
K-means Clustering.

Data Mining: Association Rule Mining and Sentiment Analysis

Association Rule Mining
Sentiment Analysis.

Pnear and Logistic Regression:

Pnear Regression
Logistic Regression.

Anova and Predictive Analysis:

Anova
Predictive Analysis.

Data Mining: Decision Trees and Random Forest

Decision Trees
Algorithm for creating Decision Trees
Greedy Approach: Entropy and Information Gain Creating a Perfect Decision Tree, Classification Rules for Decision Trees, Concepts of Random Forest, Working of Random Forest, Features of Random Forest.

Project:

Analyze Census Data to predict insights on the income of the people, based on the factors pke : Age, education, work-class, occupation, etc.

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How do I contact myTectra for Corporate Training?

Would you like to reach us for the training for your team? Please fill the below form. We will get back to as soon as possible.

Will I get placement assistance?

myTectra is providing 100% placement assistance on our key courses. We help you with the career counselling, Exams on Key courses, Mock Interviews and Technical Interviews Tips.

Landing an interview proves that you have the job-specific skills for the position, but how do your interview skills stack up? Also, Soft skills are often the most important factor in showing you're the best candidate for the job.

Hence we are conducting FREE TRAINING on Soft-Skills worth Rs-25, 000 to all myTectra students which will help you to attend the interviews with more confidence.

Can I attend a demo session before enrollment?

Yes. We arrange a free demo for all the courses either in the Classroom or Live-Online demo. Please fill the demo request form below to schedule a free demo.

What if I miss a class?

You will never miss a lecture at myTectra. You can choose either of the two options:

Classroom Training:

If you miss one or few classes we can give a backup class based on trainer and your convenient time.
In case if you miss many classes, we can reschedule your class with upcoming batches or other running batches based on how many courses topics you have completed so far.

Live-Online Training:

View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

What if I have more queries?

Just give us a CALL at +918047112411 OR email at support@mytectra.com

What are the payment options?

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email for both classroom training and Online training.

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Where do the classes take place?

For Individual:

Classroom Training - Bangalore

Live-Online Training - Globally

For Corporates:

Classroom Training - We deliver classroom training for corporate in more than 20 countries. Send us an Enquiry Now!

Online Training - Globally

* All of the classes are conducted live online. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference.

Who are the Trainers?

Our Trainer’s are chosen not only for their knowledge and expertise but also for their real-time experience in the respective courses.

How do contact for support queries after I enrolled for this course?

Your access to the Support Team is for a lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

You can send an email to support@mytectra.com or submit the below form to create a ticket.