Certified Data Scientist with R Language

4.0
1 opinion
  • Course material is good and the trainer is excellent in knowledge sharing.
    |

Course

Online

Price on request

Description

  • Type

    Course

  • Methodology

    Online

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Opinions

4.0
  • Course material is good and the trainer is excellent in knowledge sharing.
    |
100%
4.5
excellent

Course rating

Recommended

Centre rating

Ritu Gupta

4.0
19/03/2014
What I would highlight: Course material is good and the trainer is excellent in knowledge sharing.
Would you recommend this course?: Yes
Reviews gathered by Emagister & iAgora

This centre's achievements

2017
2016

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 5 years

Course programme

Course Preview
  • Business Analytics foundation - RTools
    • Lesson 00 - Business Analytics Foundation With R Tools
      • 0.1 Business Analytics Foundation With R Tools
      • 0.2 Objectives
      • 0.3 Analytics
      • 0.4 Places Where Analytics is Applied
      • 0.5 Topics Covered
      • 0.6 Topics Covered (contd.)
      • 0.7 Career Path
      • 0.8 Thank You
    • Lesson 01 - Introduction to Analytics
      • 1.1 Introduction to Analyics
      • 1.2 analytics vs analysis
      • 1.3 What is Analytics
      • 1.4 Popular Tools
      • 1.5 Role of a Data Scientist
      • 1.6 Data Analytics Methodology
      • 1.7 Problem Definition
      • 1.8 Summarizing Data
      • 1.9 Data collection
      • 1.10 Data Dictionary
      • 1.11 Outlier Treatment
      • 1.12 Quiz
    • Lesson 02 - Statistical Concepts And Their Application In Business
      • 2.1 Statistical Concepts And Their Application In Business
      • 2.2 Descriptive Statistics
      • 2.3 Probability Theory
      • 2.4 Tests of Significance
      • 2.5 Non-parametric Testing
      • 2.6 Quiz
    • Lesson 03 - Basic Analytic Techniques - Using R
      • 3.1 Introduction
      • 3.2 Data Exploration
      • 3.3 Data Visualization
      • 3.4 Pie Charts
      • 3.5 Correlation
      • 3.6 Analysis of variance
      • 3.7 Chi-squared test
      • 3.8 T-test
      • 3.9 Summary
      • 3.10 Quiz
    • Lesson 04 - Predictive Modelling Techniques
      • 4.1 Predictive Modelling Techniques
      • 4.2 Regression Analysis and Types of regression models
      • 4.3 Linear Regression
      • 4.4 Coefficient of determination R
      • 4.5 How good is the model
      • 4.6 How to find Liner regression equation
      • 4.7 Commands to perform linear regression
      • 4.8 Linear regression to predict sales
      • 4.9 Case Study - Linear Regression
      • 4.10 Case Study - Classification
      • 4.11 Logistic regression
      • 4.12 Example - Logistic regression in R
      • 4.13 Logistic Regression Predicting recurrent visits to a web site
      • 4.14 Cluster Analysis
      • 4.15 Command to perform clustering in R
      • 4.16 Hierarchical Clustering
      • 4.17 Case Study - Implement K means and Hierarchical Clustering
      • 4.18 Time Series
      • 4.19 Cyclical versus seasonal analysis
      • 4.20 Decomposition of Time Series
      • 4.21 Caes Study- Time Series Analysis
      • 4.22 Decomposing Non-Seasonal Time Series
      • 4.23 Exponential Smoothing
      • 4.25 Exponential smoothing and forecasting in R
      • 4.26 Example - Holt Winters
      • 4.27 White Noise
      • 4.28 Correlogram Analysis
      • 4.29 Box-Jenkins forecasting Models
      • 4.30 Case Study - Time Series Data using ARMA
      • 4.31 Business Case
      • 4.32 Summary
      • 4.33 Thank You
      • 4.24 Advantages and Diadavantages of Exponential Smoothing

Additional information

  • What is this course about?

    Simplilearn’s R training is an ideal package for aspiring data analysts to gain expertise in data analytics. Participants at the end of the training will be technically competent in R programming language concepts such as data visualization, exploration; statistical concepts like linear & logistic regression, cluster analysis and forecasting.

Certified Data Scientist with R Language

Price on request