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R Programming Essentials for Data Science & Analytics
Description
R Programming Essentials for Data Science & Analytics Introduction
Welcome to “R Programming Essentials for Data Science & Analytics,” this is three days of immersive, hands-on training. Dive into the world of R programming, an indispensable tool for data scientists and business analysts facing complex statistical, numerical, or probabilistic challenges in their data work.
Throughout this course, under the guidance of our seasoned instructor, you will develop a deep and practical understanding of R programming. Beginning with foundational concepts, you’ll explore the nuances of R and RStudio, learn how to install and utilize various packages, and get acquainted with the various data types and structures that R handles.
A significant focus of the course is on data visualization, where you’ll learn to create basic plots, harness the power of ggplot2, and dive into interactive visualization tools such as Shiny and Plotly. Additionally, the course places a strong emphasis on data management techniques, including data summarization, factor variable creation, data merging and joining, and effective use of the table() function.
By the end of your journey with us, you’ll have mastered the art of importing and exporting data, including working with Excel files. You’ll be adept at constructing and visualizing linear model objects, creating comprehensive data summary tables, and combining various data objects into cohesive data frames.
R Programming Essentials for Data Science & Analytics Objectives
Working in a hands-on learning environment you’ll explore:
- Understand the basics and become comfortable with using these core tools for data science and analytics.
- Learn how to create compelling and insightful data visualizations using tools such as ggplot2, and interactive graphics with Shiny and Plotly.
- Become skilled at managing, summarizing, and merging datasets, enhancing your ability to handle real-world, complex data.
- Learn how to install and effectively use a variety of R packages, widening your scope of data manipulation and analysis.
- Gain practical experience in working with different data sources, including excel spreadsheets, and exporting your results for further use or presentation.
- Apply the techniques learned throughout the course to solve practical, data-centric tasks, turning raw data into actionable insights.
Prerequisites
- This course, geared for Data Analysts and Data Scientists who need to learn the essentials of how to program in R.
- Students should have some experience in their field, and prior experience working with programming languages.
Audience
- This introductory-level course is ideal for technical team members who are new to R programming.
- Attendee roles might include (but are not limited to) data analysts, software developers, IT professionals, and data-driven project managers seeking to enhance their data manipulation and visualization skills.
- The course will also benefit data enthusiasts who want to gain hands-on experience in R programming for improved business analytics and decision making.
R Programming Essentials for Data Science & Analytics Outline
Introduction to R
- Introduction to R
- Using R and RStudio
- Installing Packages
- Variable Types and Data Structures
- Numeric and Integers
- Vectors
- Basic Flow Control
- Data Import and Export
- Excel Spreadsheets
- Package Documentation and Vignettes
Data Visualization and Graphics
- Creating Base Plots
- Factor Variables
- Creating and Plotting a Linear Model Object
- Titles and Axis Labels
- ggplot2 Basics
- Histogram
- Bar Chart
- Scatterplot
- Boxplot
- Facet Wrapping and Gridding
- Exploring Shiny and Plotly
Data Management
- Creating Factor Variables in a Dataset
- Creating an Ordered Factor Variable
- Summarizing Data
- Data Summarization Tables
- Tables in R
- Creating Different Tables Using the table() Function
- Summarizing Data with the Apply Family
- Combining Matrices of Objects into Dataframes
- Merging and Joining Data
- Demonstrating Merges and Joins in R
$2195.00
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3 Days Course |