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R for Analytics and Reporting

Fri,Sat (2 Weeks)
EST:[19:30-23:30]
New York Time
US $499

This course teaches R programming and how to use R for effective data analysis. Learn concepts of data analysis. Understand how to install and configure R to create a statistical programming environment. Learn statistical concepts as they are implemented in thishigh-level statistical language. The course teaches how to use R effectively for statistical computing,  reading data into R, using  R packages for generating reports, creating R functions, debugging and profiling R code, and documenting R code. Demos, examples and code samples are provided to run statistical data analysis using R.

About this Course

Fri,Sat (2 Weeks)
EST:[19:30-23:30]
New York Time
US $499

This course teaches R programming and how to use R for effective data analysis. Learn concepts of data analysis. Understand how to install and configure R to create a statistical programming environment. Learn statistical concepts as they are implemented in thishigh-level statistical language. The course teaches how to use R effectively for statistical computing,  reading data into R, using  R packages for generating reports, creating R functions, debugging and profiling R code, and documenting R code. Demos, examples and code samples are provided to run statistical data analysis using R.

Course Syllabus

Business Analytics Foundation I

Role of a data scientist, Defining Data Analysis, Career Path, R features

Business Analytics Foundation II

Collection, Processing and Summarizing of Data, Detecting and Treating Outliers

Basics of R Programming

Statistical Methods, Population and Sample, Descriptive Staisticsand components, Probability Theory and Distribu@on, Tests of Significance/ Hypothesis Testing

Reading and Writing Data in R

History, Highlights, Limitations of R, Installing R and Rstudio, R System Design, Getting Help on R, R Input, Evaluation, Printing, Data in R, Data Types in R, Reading data from outside R, Extracting a Subset

Control Structures

Removing NA value, Vectorized Operation, Control Structures, If-else, For loop, While loop, Repeat, Next and break, Return, Functions

Practice Session

Course Structure

Business Analytics Foundation I

Business Analytics Foundation II

Basics of R Programming

Reading and Writing Data in R

Control Structures

Practice Session

Course Logistics

The course is delivered over the internet by an instructor through live web sessions.


Students are provided a web conference link allowing them to join the course on line at the scheduled date and time. Students have a choice of dialing in using a phone or using their computer microphone and speaker (or headset).


The course is divided into 4 lectures each consisting of 4 hours duration.  

The instructor sessions are recorded and made available to students from their on-line dashboard. This is helpful for students who miss a lecture or wish to revisit the lecture at their pace after the live sessions.


Further, students receive soft copies of a student guide, sample codes and answers to quiz and exercises. These are made available for download prior to the start of the first lecture on the course.Hands-on experience is provided by allowing access to Linux computers during the entire duration of the course. A discussion forum is available on-line to allow students to discuss between themselves as well as with the instructor. Access to recorded videos, course material and discussion forum is disabled one month after the delivery of the last lecture.Visit the FAQ page for commonly asked questions, feel free to submit a message, chat online with a specialist, request a call back  or simply call our corporate office at the number provided.

Opportunities after the course

R is increasingly becoming popular and being adopted across multiple organizations and sectors of the industry. Being open source and free, demand for R is growing rapidly. It is increasingly being adopted by data scientists and analysts. Demand for R programmers is very good and there is great potential for growth in this language as BI, reporting and data analysis are becoming popular and beneficial for all sectors of industries.

Sessions

EST:[19.30-23.30]

Delivery Method
Instructor Based $ 499

Additional Batches
Course at a Glance
  • English
  • Skill Level: Basic
Online Classes
Assignments: 10
Project: 1
System Requirements

PC or laptop with headset/ speaker, microphone, high speed internet

Prerequisites
  • None

Testimonials

" The course was very interactive and easy to understand even for a beginner like me! It helped me prepare and pass my certification soon after completing the course!! "

- Priyam

" I really loved this course. It was fast paced, very hands on with fun filled exercises. Not only do I have lifetime access to lectures and notes, I can also email the instructor any time for help! Awesome!! "

- Samuel Adlekha

" Loved the the course. The instructor was patient and provided great demos and examples. I am new to programming but felt so comfortable since it was well explained. Awesome! "

- Shveta

" It was a pleasure and great learning experience with Net Serpents under the guidance of Mr. Shashi Prakash. "

- Aijaz

Contact Us:

Hadoop is a registered trademark of the Apache Software Foundation(ASF) and Hadoop is a product owned by Apache. Hadoop Express is not affiliated in any way to ASF . All educational material, resources, videos and other content available on this site is created and owned by Net Serpents and is intended only to provide training. This website does not own any of the products on which it provides training, many of which are owned by Apache while others are owned companies such as SAS, Python and Oracle. Net Serpents LLC is committed to education and online learning. All recognizable terms, names of software, tools, programming languages that appear on this site belong to the respective copyright and/or trademark owners.