Call +603 9100 1312

Instructor-Led Classroom Adult Training in Malaysia - Learn New Skills to Enhance Your Employability from our HDRF Approved Courses

R Programming and Statistics Training

R is the language of big data—a statistical programming language that helps describe, mine, and test relationships between large amounts of data. The trainer will use R to model statistical relationships using graphs, calculations, tests, and other analysis tools. Learn how to enter and modify data; create charts, scatter plots, and histograms; examine outliers; calculate correlations; and compute regressions, bivariate associations, and statistics for three or more variables.
Topics include:

  • Installing R on your computer
  • Using the built-in datasets
  • Importing data
  • Creating bar and pie charts for categorical variables
  • Creating histograms and box plots for quantitative variables
  • Calculating frequencies and descriptives
  • Transforming variables
  • Coding missing data
  • Analyzing by subgroups
  • Creating charts for associations
  • Calculating correlations
  • Creating charts and statistics for three or more variables
  • Creating crosstabs for categorical variables

 

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M081

Course Booking

MYR880.00

Course Date

Course Time

* Required Fields

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Module 1. Getting Started

  • What is R
  • Install R and RStudio
  • Explore RStudio Interface
  • Variables

Module 2. Data Types

  • Numbers 
  • Text
  • Vector
  • Matrix
  • Array 
  • Data Frame
  • Factor 
  • List

Module 3. Packages & Data Sets

  • Packages
  • Data Sets

Module 4. File Input/Output

  • Read data from file
  • Read data from web 
  • Write data to file

Module 5. Charts

  • Scatter Plot
  • Boxplot
  • Bar chart
  • Pie chart
  • Histogram

Module 6. Control Structures

  • Conditional
  • Loop
  • Break & Next
  • Operators

Module 7: Function

  • Function Syntax
  • Function Example
  • Function With Default Arguments

Module 8. Statistical Application of R

  • Basic Statistics 
  • Correlation
  • Linear Regression 
  • Multiple Regression
  • 2 Sample T-Test
  • 1 Sample T-Test
  • ANOVA
  • Clustering

Who Should Attend

This course is for the scientists, engineers, programmers, or analysts looking for high quality, open source statistics package

Prerequisite

Basic knowledge of statistics is essential

Trainers

R TrainerDr. Zahra Nazemi has PhD in mathematical statistics from Universiti Putra Malaysia. Her research interests are applied statistics, medical statistics, Bayesian statistics, statistical inference and Software R. She has worked as lecturer in different universities more than 4 years. She also consulted and worked on assignments for parametric and non-parametric analysis, univariate and multivariate regression analysis in various areas such as medical, economics and psychology. Her other skills are knowledge of research methodology, extensive experience with SPSS, AMOS, R and MINITAB and writing and presenting reports. Moreover, she conducted special training program in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques

Data Science TrainerDr. Aanand Verma is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Rattle TrainerTarun Sukhani is an IT executive, educator, author, speaker, data scientist, security expert, agile coach, polyglot coder, and entrepreneur with over 19 years of combined professional experience both in the U.S. and internationally. As a seasoned veteran, my expertise lies in leading teams in the design and delivery of highly scalable, concurrent, and performant enterprise software solutions with budgets of up to $100 million. I am particularly adept at building productive, self-managing agile teams with predictable velocities and delivery timeframes.

Tarun Sukhani is skilled in all phases of the SDLC/ALM, with a solid foundation in Agile (XP, SAFe, Lean, Scrum, Kanban, and Scrumban) and traditional (PMI and PRINCE2) project management frameworks and methodologies.

He is proficient in Big Data/Data Science: Hadoop, Pig, Hive, HBase, Spark, R/Rattle, Cassandra, YARN, Zookeeper, Mahout, SimpleCV, OpenCV

Customer Reviews (6)

Will RecommendReview by nurfadzilah
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Using the better projector (Posted on 6/1/2017)
Will RecommendReview by ALBERT LING SHENG CHANG
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course can be further improved by using dataset from one case study from the begining till the end of the course as this will give the clear picture of r in real application

Can arrange the course in sabah in future. (Posted on 5/9/2017)
Will RecommendReview by Looi Kuan Siong
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
nil (Posted on 10/21/2016)
Will RecommendReview by Pradeep Narayanaswamy
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
very good in Teaching. will look forward for advanced R training (Posted on 10/21/2016)
Will RecommendReview by Aurino M. Kemas
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
I find myself quite overloaded near the end of the session, perhaps since I have no background in programming so there was "lag phase". Perhaps giving the softcopy of the materials the day before would help to prepare students mentally of how much mental work they need to exert on d-day itself.

1. I really appreciate that I could borrow the laptop from the training centre.
2. I found the trainer, Dr. Ravi, delivered the contents very well. His delivery was clear and he earned trust from students that he has the knowledge to train us. (Posted on 10/21/2016)
Will RecommendReview by Kwan Chet
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
I learnt most when the trainer could address my question and showed me the solution to solving my problem i face at work (Posted on 10/21/2016)

Write Your Own Review

You're reviewing: R Programming and Statistics Training

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
  • Reload captcha

Tags

Other people marked this product with these Subjects:

Use spaces to separate Subjects. Use single quotes (') for phrases.

You May Be Interested In These Courses