Type
Virtual
Classroom ILT
Skill Level

Available dates
Learning Path
Virtual
Duration
1 Day

TYPE
Virtual
Classroom ILT
LEARNING PATH
SKILL LEVEL

DURATION
AVAILABLE DATES
Introduction
In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high- quality graphs and plots that are incredibly customizable.
This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business.
Target Student:
This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems.
A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language
Pre-requisites
To ensure your success in this course, you should be comfortable with basic computer programming concepts, including but not limited to: syntax, data types, conditional statements, loops, and functions. You can obtain this level of skills and knowledge by taking the Logical Operations Introduction to Programming with Python® course.
You should also have at least a high-level understanding of fundamental data science concepts, including but not limited to: data engineering, data analysis, data storage, data visualization, and statistics. You can obtain this level of knowledge by taking the CertNexus DSBIZ™ (Exam DSZ-110): Data Science for Business Professionals course.
Course objectives
In this course, you will use R to perform common data science tasks.
You will:
- Set up an R development environment and execute simple
- Perform operations on atomic data types in R, including characters, numbers, and
- Perform operations on data structures in R, including vectors, lists, and data
- Write conditional statements and
- Structure code for reuse with functions and
- Manage data by loading and saving datasets, manipulating data frames, and
- Analyze data through exploratory analysis, statistical analysis, and
- Create and format data visualizations using base R and
- Create simple statistical models from data
Course content
Lesson 1: Setting Up R and Executing Simple Code |
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Lesson 2: Processing Atomic Data Types |
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Lesson 3: Processing Data Structures |
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Lesson 4: Writing Conditional Statements and Loops |
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Lesson 5: Structuring Code for Reuse |
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Lesson 6: Managing Data in R |
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Lesson 7: Analyzing Data in R |
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Lesson 8: Visualizing Data in R |
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Lesson 9: Modeling Data in R |
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Associated certifications and exam
On successful completion of this course students will receive a Torque IT attendance certificate.

Microsoft Overview
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These achievements reflect our commitment to providing our customers with quality skills development, enablement, training, and certification solutions that demonstrate exceptional depth, breadth, and expertise across Windows Server, Windows Client, Microsoft Virtualization, Microsoft Azure, Office 365, Exchange Server, SharePoint Server, Skype for Business, System Centre Server, Visual Studio and Microsoft Office technologies.
Torque is recognized by Microsoft, and the industry, as having met rigorous standards for educational competency, service, customer satisfaction and investment in Microsoft technologies that will prepare the next generation of IT industry professionals.