This course provides introductory knowledge of data analysis and visualisation using R. It is perfect for those who want to sharpen employability in areas such as data science, data analysis, and data visualisation.
About the course:
This course provides introductory knowledge of data analysis and visualisation using R. It is perfect for those who want to sharpen employability in areas such as data science, data analysis, and data visualisation.
It also suits those non-coders, who want to have an introduction to programming concepts without dealing with “hard-to-grasp” interfaces.
Activity-driven
Step by step and hands-on
Units:
Day 1 Data Analysis Using R
Topic 1 Knowing Your Data
Basic Stats: Mean, Median, Mode, etc
Basic Graphs: Histogram, Box Plots, Scatter plots, etc
Topic 2 Commonly Used Data Types in R
Vectors, Matrices, Factors, Data Frame, List, etc
Hands-on Examples
Topic 3 The Basic Data Manipulation That You Must Know
Import/Export
Rename
Subset and Merge
Missing Values and NA
Topic 4 Learn to Code
If-else Statement
For loop and While loop
Lapply and Sapply
Plotting using Base Package
Topic 5 Case Studies
Day 2 Shine Yourself with Data Visualization
Topic 1 Recap on Data Manipulation with Examples
Topic 2 Why is ggplot2 Fantastic?
Comparison Between ggplot2 and Base Packages
What can ggplot2 do?
Topic 3 Basic Graphing Activities
Line Plots
Box Plots
Pie Charts
Histogram
Scatter Plots
Topic 4 How Can Your Graphs Standout
Customisation of Color, Shape, Size, Label, Legend, Axes, Themes etc
Magic Package dplyr
Multi-plotting
Topic 5 Case Studies
Upon Completion:
This course is eligible for CPD hours. Upon successful completion of all the required units of this course, students will receive a certificate of completion.
Established in 2014, Seed Training Group specialises in providing high quality and industry recognised courses either online or on-campus. Our courses widely range from bookkeeping, accounting, finance, marketing to professional development areas.
Our training courses are Australian Qualification Framework (AQF) nationally recognised and accredited to meet vocational and educational standards.
We draw on our established relationships with industry and other stakeholders to ensure our courses are appropriate to the demands of our students and consistently meet their expectations.Quality is maintained in compliance with the National VET Regulators Standards for Registered Training Organisations (RTOs) 2015 and through our continuous improvement system.
Mission:
Our principle purpose is to provide high quality and practical training and assessments at affordable prices.
Value:
Seed Training Group is a student driven education provider to make sure we are:
Assisting your career development with personalised study with us
Delivering courses in flexible methods
Providing ongoing support and mentoring
Focusing on outcomes
We acknowledge the importance of adult learning principles in the delivery of effective training. We believe that all students should be encouraged to take responsibility for their own learning and to understand that as learners, they have an active role to play in their training/ learning and assessment process.
Our trainers have relevant industry knowledge and experience and are professional, friendly, supportive and dynamic individuals!
We would like to make you feel as comfortable as possible whilst you undertake your training, so we keep our class sizes small to ensure optimum learning environments. We ensure that all our students receive in-depth learning and unlimited support as they need.
Advanced R Programming TrThis course is for data scientists and statisticians that already have basic R & C++ coding skills and R code and need advanced R coding skills. The purpose is to give a practical advanced R programming course to participants interested in applying the methods aining Cours...
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This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages.
Businesses are accumulating data at an increasingly fast rate. This data is valuable if management can use it to support and drive more effective decision making.
R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.
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