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Course Description

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.

Course Outline

Lesson 1: Setting Up R and Executing Simple Code

Lesson 2: Processing Atomic Data Types

Lesson 3: Processing Data Structures

Lesson 4: Writing Conditional Statements and Loops

Lesson 5: Structuring Code for Reuse

Lesson 6: Managing Data in R

Lesson 7: Analyzing Data in R

Lesson 8: Visualizing Data in R

Lesson 9: Modeling Data in R

Learner Outcomes

1) Configure switches and end devices to provide access to local and remote network resources.

2) Explain how physical and data link layer protocols support the operation of Ethernet in a switched network.

3) Configure routers to enable end-to-end connectivity between remote devices.

4) Create IPv4 and IPv6 addressing schemes and verify network connectivity between devices.

5) Explain how the upper layers of the OSI model support network applications.

6) Use security best practices to configure a small network.

7) Troubleshoot connectivity in a small network

Prerequisites

Familiarity with Statistics and Data Analytics is recommended, as well as some prior scripting or programming experience. BID675 or equivalent experience is required.

Duration

3 Days | 6 Nights

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Section Title
Data Science and Analytics with R
Type
Instructor-Led
Days
T, Th
Time (Central Time)
5:30PM to 8:30PM
Dates
Nov 29, 2022 to Dec 15, 2022
Schedule and Location
# of Course Hours
18.0
Delivery Option
Course Fee(s)
Rate non-credit $1,975.00
Potential Discount(s)
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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.