Advanced R Data Analysis Training

Multiday, 08/08/2025 - 23/08/2025

Venue

Tertiary Courses Malaysia G-3A-02, Corporate Office Suite, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia

Entrance Fee

MYR1,000.00

Category

Business & Professional

Event Type

Class, Course, Training or Workshop

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Schedule

DateTime
08/08/20259:30 AM - 5:30 PM
23/08/20259:30 AM - 5:30 PM
Advanced R Data Analysis Training

Dive deep into the world of R data analysis with our comprehensive training program. This course prioritizes hands-on learning and provides you with advanced knowledge of the tidyverse data wrangling packages. With a focus on both quantitative and qualitative data analysis, you'll gain a versatile skill set that's essential for a range of industries.

Furthermore, we emphasize the power of efficient data piping, ensuring you can manage and manipulate data with ease. Whether you're looking to upgrade your existing R skills or transition into a data-focused role, this course will provide the expertise you need to excel. Join us at Tertiary Courses and take your data analysis prowess to the next level.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M294

Topic 1 Data Preparation and Transformation

  • Overview of Data Analysis of Research Data

  • Install R Data Analysis Packages - Tidyverse and ggplot2

  • Import and Export Dataset

  • Filter and Slice Data

  • Clean Data

  • Join Data

  • Transform Data

  • Aggregate Data

  • Pipe Data

Topic 2 Data Summary

  • Categorical vs Continuous Data

  • Quantitative vs Qualitative Data

  • Descriptive Statistics of Data

  • Summarize Data

  • Basic Plots and Tables

Topic 3 Quantitative Data Analysis

  • Quantitative Data Analysis Overview

  • Correlation Analysis

  • Regression Analysis

  • Hypothesis Testing

  • Analysis of Variances (ANOVA)

Topic 4 Qualitative Data Analysis

  • Qualitative Data Analysis Overview

  • Install R Packages for Qualitative Data Analysis

  • Word Cloud Analysis

  • Text Analysis