India

Data Science with R Intellipaat Online Training Course

Our course will cover not only the basic concepts but also the advanced concepts like Data Visualization, Data Mining, Model Building in R, Web Analytics and so on.
1st Floor, 10th Cross,28th Main,Bangalore
9784286179

Course at a Glance

Mode of learning : Online - Self Paced

Domain / Subject : Engineering & Technology

Function : Information Technology(IT)

Duration : 13 Hours

Difficulty : Basic

Course Objective

Online video based Data Science with R Training course for professionals who aspire to learn ‘R’ language for Analytics. Practical approach of learning has been followed in order to provide a real time experience and make you think like an analyst. Our course will cover not only the basic concepts but also the advanced concepts like Data Visualization, Data Mining, Model Building in R, Web Analytics and so on.

Key Highlights !

1. 13.5 hrs duration of videos which means we cover all the topics in very detail as compared to anyone in the industry.
2. 24/7 Access to the training material and Videos.
3. 3 Months access to the enrolled courses.
4. Course is designed for clearing certification.
5. 1 month access of Intellipaat Cloud instance for practicing.

After the completion of ‘Business Analytics with R’ certification online video based course at Intellipaat, you should be able to:

  • Understand the fundamentals of ‘R’.
  • Learn how to transit from existing software in analytics into an ‘R-based’ system at zero cost.
  • Get a broad insight into analytics and acquire skills in methodologies and techniques.
  • Get familiar with data science as a career option with practical knowledge.

Course eligibility

Who should attend?

  • Developers working in Business Intelligence space who are aspiring to become Data scientist.
  • SAS developers who are trying to migrate to open source technologies
  • Msc Math and/or Statistics students with some programing background aspiring to become data scientist.

Who should go for this online course?
This course is meant for all those students and professionals who are interested in working in industry analytics and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become ‘Data Scientists’ in near future!

Pre-requisites
The pre-requisites for learning ‘Business Analytics with R’ include basic mathematics and good analytical skills. The good news is that – as this is an applied course, the focus will be on real-world case studies rather than just the theory.

I would like to be contacted regarding this course

Course Outline

  • History of R
    • Advantages and disadvantages
    • Downloading and installing
    • How to find documentation
  • Introduction
    • Using the R console
    • Getting help
    • Learning about the environment
    • Writing and executing scripts
    • Saving your work
  • Data Structures, Variables
    • Variables and assignment
    • Data types
    • Indexing, subsetting
    • Viewing data and summaries
    • Functions
    • Naming conventions
    • Objects
    • Models
    • Graphics
  • Control Flow
    • Truth testing
    • Branching
    • Looping
    • Vectorized calculations
  • Functions
    • Parameters
    • Return values
    • Variable scope
    • Exception Handling
  • Getting Data into the R environment
    • Builtin data
    • Reading local data
    • Web data
  • Overview of Statistics in R
    • Introduction to R Graphics
    • Model notation
  • Descriptive statistics
    • Continuous data
      • Scatter plot
      • Box plot
    • Categorical data
      • Mosaic plot
    • Correlation
  • Inferential statistics
    • T-test and non-parametric equivalents
    • Chi-squared test, logistic regression
    • Distribution testing
    • Power testing
  • Linear Regression
    • Linear models
    • Regression plots
    • ANOVA
  • Other Topics
    • Classification
    • Clustering
    • Time series
    • Dimensionality reduction
    • Machine Learning
  • Object Oriented R
    • Generic functions
    • S3/S4 classes
  • Installing Packages
    • Finding resources
    • Installing resources
  • More about Graphics
    • Labels
    • Exporting graphics
  • Sophisticated Graphics in R
    • Lattice
    • GGplot2
    • Interactive graphics
    • Animated GIF
    • rGGobi
  • R for Mapping and GIS
    • Choropleth maps
    • Layers

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