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Advanced R Data Analysis Training

This is an extension of the R Statistics Essential Training. R is a software package that provides a language and an environment for data manipulation and statistics calculation. This course will go through some advanced data analysis concepts techniques such as data extraction, data pre processing, data visualization, data modeling and finally data presentation

Topics include:

  • qqplots for data visualization
  • download data from file or web
  • data analysis using regression
  • data analysis using clustering
  • data analysis using classification
  • shiny for data presentation

 

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M043

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: R Data Analysis Packages

  • Data Analysis Components
  • Data Analysis Steps
  • R Data Analysis Packages

Module 2: Obtaining Data

  • Reading Data from CSV file
  • Reading Data from Excel file
  • Reading Data from JSON file
  • Reading Data from XML file
  • Reading Data from Web
  • Reading Data from APIs

Module 3: Data Preprocessing

  • Mutating Data 
  • Merging Data
  • Reshaping Data
  • Missing Data

Module 4: Data Visualization

  • Using ggplot

Module 5: Advanced R Functions

  • Lapply
  • Sapply
  • Split
  • Mapply

Module 6: Data Modeling : Regression

  • Univariate and Multivariate Linear Model Regression
  • Polynomial Model Regression
  • Generalized Regression Models

Module 7: Data Modeling: Classification & Clustering

  • Classification
  • Clustering

Module 8: Time Series

  • Creating Time Series
  • Forecasting

Module 9: Data Presentation (Optional)

  • Shiny

Who Should Attend

  • Data Analysts who perform data analysis using R
  • Financial analysts who use R for financial data analysis
  • Marketers who use R for market analysis
  • Researchers who use R for data analysis

Prerequisite

This course assumes some basic knowledge of the R language and data science.

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

Chief Trainer in Tertiary CoursesDr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products

Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book price, awards and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

Dr. Alfred Ang was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.

Customer Reviews (6)

Will RecommendReview by Marini
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
To improve in terms of deliverable (more easy to understand) (Posted on 7/18/2017)
Will RecommendReview by Fiza Abdul Rahim
1. Do you find the course meet your expectation?
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It would be better if we can invite the speaker to share her knowledge at our university. (Posted on 7/17/2017)
Might RecommendReview by Shaiful
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not to conduct on Friday of which Muslim need to have longer break during lunch hour for Friday prayers. (Posted on 7/17/2017)
Will RecommendReview by Dwight Fonseka
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More examples of visualization techniques (Posted on 10/21/2016)
Will RecommendReview by Xin Chen
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3. How do you find the training environment
Nil (Posted on 10/21/2016)
Will RecommendReview by Lee Chui Teng
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)

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