Beginner-To-Mastery over Data Visualization Using R (2024)

Gain Highly In-demand Basic and Advanced Data Visualization Skills using R-Programming, guided by top industry expert


What you'll learn
Master the basics of R Programming like creation and manipulation of logical and operational variables and vectors in R
Gain proficiency in Decision Making Functions such as if-else statements, while loops, do-while loops, and for loops for effective control flow in programming
Learn to construct Handling Matrices & Lists, utilize colnames() and rownames() functions
Explore various data types and work with data frames for structured data management
Learn Importing & Exporting Data such as reading CSV files, importing Excel spreadsheets, and performing data indexing, selection, and web scraping
Utilize dplyr functions to select, filter, arrange, rename parameters, mutate datasets, and summarize data efficiently using %>% pipe operations
Gain insights into the components and structure and anatomy of plots
Use ggplot2 to create advanced visualizations for continuous data, including multiple datasets on one plot, error bars, density plots, and surface plotting
Create effective visualizations for discrete data types such as bar plots and mosaic plots, enhancing data exploration and presentation
Dive into advanced ggplot2 functionalities and techniques
Learn specialized techniques like plotting histograms with continuous and categorical variables, time series heat maps and dendrogram plots
Introduction to clustering techniques like K-means clustering for machine learning applications
Apply acquired skills and knowledge to a comprehensive capstone project, demonstrating proficiency and readiness for practical application
Practice alongside quizzes, exercises, and solution videos to reinforce learning



Requirements
No prior experience is required. We will start from the very basics

Description
Learning Outcomes You Can Expect!
This course is designed for professionals from varied industries to be able to:
Advance in their careers with enhanced data visualization skills opening doors to promotions and new opportunities.
Become a data storyteller
who can weave complex data into compelling narratives. Your ability to present data visually will help you make a lasting impression in every presentation.
Gain mastery
in operating within the R Programming language environment.
Develop the ability to master the following charts and plots that resonate with your audience:
Bar chart
Pie chart
Stacked area chart
Line chart
Histogram
Scatter plot
Mosaic Plot
Scatter plot with a trendline (regression plot)
Dendrogram plot
Bubble plot
Distribution plot
Correlogram plot
Clustering plot
Effectively display categorical data and highlight relationships between variables, making your visualizations both informative and visually appealing.
Explore the potential of ggplot2 to create advanced and highly customizable data visualizations, including histograms, scatter plots, bar plots, box plots, and area charts.
Dive into
advanced visualization techniques
such as creating time series heatmaps, a powerful tool for visualizing data trends over time, and employing clustering techniques like K-means to uncover patterns in your data.
Build an Impressive Portfolio
by putting your newfound skills to the test across the whole course. Apply your learnings to a real-world dataset, creating a comprehensive project that you can showcase in your professional portfolio.
What makes this course more effective?
Hands-on Learning:
You will master data visualization skills through practical exercises and projects integrated throughout the course. This hands-on approach ensures you can apply theoretical knowledge to real-world scenarios effectively.
Experienced Trainer:
Learn from industry experts like Nirbhay, who are not only passionate about data visualization and R programming but also bring a wealth of real-world experience to the classroom. Nirbhay’s expertise ensures you gain insights from someone who knows the industry inside and out.
Well-Structured Content:
Our curriculum is meticulously designed for optimal learning. It begins with foundational concepts and progressively advances to more complex topics, ensuring a comprehensive understanding of data visualization.
Latest Industry Updates:
Stay ahead of the curve by learning the latest insights, techniques, and trends in data visualization. Our course content is regularly updated to reflect the newest developments in the field, preparing you for both current and future industry demands.
Capstone Project:
Put your skills to the test with a real-world data visualization challenge. This capstone project allows you to apply what you’ve learned in a practical setting, giving you a taste of real industry work and enhancing your portfolio.
Who exactly benefits from this course?
Data visualization with R is an indispensable skill for
data analysts and aspirants
, enabling them to transform complex datasets into comprehensible graphical representations.
However, its utility extends far beyond this group,
empowering any professional
tasked with
presenting data in a visually compelling manner
.
In the
finance sector
, the R programming language excels in rendering intricate financial data accessible to both domain experts and stakeholders.
Marketers
harness R to generate visually intuitive insights that drive strategic decisions, enhancing their ability to navigate market dynamics.
Operations teams
leverage R to develop user-friendly dashboards that streamline workflows and facilitate informed decision-making processes. I
n the medical field
, R plays a transformative role in converting patient data and treatment outcomes into insightful visualizations, a capability that proved especially critical in the real-time tracking and analysis of COVID-19 data.
R's data visualization capabilities also extend to
education, retail, and government sectors.
In
Education
, R simplifies the presentation of student performance metrics.
Retail professionals
use it to illustrate sales trends and patterns effectively.
Government agencies
rely on R for elucidating public health data and other critical information, making complex datasets accessible to the public and policymakers alike.
Mastering data visualization with R equips
professionals to communicate data with clarity and impact
, driving meaningful decisions across any industry. If you’re poised to elevate your career, our comprehensive course offers a meticulously structured journey from fundamental concepts to advanced techniques.
Experience extensive hands-on activities, engage in a robust Capstone Project, and benefit from the guidance of industry-leading experts. By the end of this course, you’ll be proficient in tackling real-world challenges with confidence.
Seize the opportunity to unlock the full potential of data visualization with R.
Get to know your Trainer!
Dr. Nirbhay Mathur
is a distinguished data scientist and AI expert with over nine years of experience working with top global firms. Holding a
Ph.D. in Predictive Maintenance
, his expertise encompasses Data Visualization, Data Analysis, Reliability, Computer Vision and LLM. Renowned for simplifying complex technical concepts, Dr. Mathur excels in problem-solving and innovation.
Dr Nirbhay
remains at the cutting edge of data science, integrating current best practices and emerging trends into his work. His research interests span data processing, machine learning, and predictive analytics. Passionate about teaching, he makes intricate topics engaging and accessible, inspiring a deeper appreciation for the field among his students.
Dr Nirbhay's deep
industry knowledge and forward-thinking approach
make him an exceptional trainer for learning data visualization. His commitment to continuous learning and professional development ensures that his students receive the most up-to-date and relevant information available.
He aims to inspire the next generation of engineers and data scientists by sharing his extensive knowledge and enthusiasm for the field. With
Dr Nirbhay
as your instructor, you can expect a learning experience that is not only informative but also inspiring, enriching, and thought-provoking.
Who this course is for:
Beginners with No Prior R Programming Language Experience: We'll guide you step-by-step through R basics and data visualization concepts
Data Enthusiasts: Enhance your ability to analyze and interpret data through visual storytelling
Analysts Seeking to Level Up: Take your data visualization skills to the next level with advanced techniques and R packages
Business Analysts: Learn how to effectively communicate data insights to stakeholders using data visualizations
Marketing Professionals: Gain the skills to create data-driven marketing campaigns and presentations
Data Scientists: Expand your data science toolkit with data visualization capabilities
Students pursuing Data Analytics or Statistics programs: Build a strong foundation in data visualization using R
Anyone eager to communicate data insights effectively: Learn how to transform raw data into clear and impactful visuals

More Info