Static and Interactive Data Visualizations in R
Master data visualization with Python! Create stunning static & interactive charts for data science projects. Learn practical skills & unlock insights.
Course Content
Static and Interactive Data Visualizations in R is an all-levels Udemy course taught by Minerva Singh. It runs 7h 19m, is taught in English, and includes a certificate of completion. Learners rate it 4.8 out of 5 from 45 reviews, with 607 students enrolled. It is a paid course, last updated October 2022.
Unlock the Power of Data Science with R: Data Wrangling & Visualization
Are statistics books leaving you feeling lost and overwhelmed? Do you need practical, hands-on skills in data analysis? This course is designed for you! Created by Minerva Singh, an Oxford University MPhil (Geography and Environment) and Cambridge University PhD (Tropical Ecology and Conservation) graduate, this course bridges the gap between theory and application.
Learn the fundamental building blocks of practical data science: data wrangling and visualization using the powerful R programming language. I'll guide you step-by-step, sharing the techniques I developed through years of experience analyzing real-world data and publishing in international, peer-reviewed journals like PLOS One.
What you'll gain:
- From Beginner to Visualization Expert: Start with absolutely no prior statistical modeling experience and build your way to creating compelling and impressive data visualizations.
- Master ggplot2: Become proficient in using one of the most popular and versatile R visualization packages.
- Practical Data Visualization Concepts: Understand and apply key data visualization principles to effectively analyze and interpret your data.
- Choose the Right Visualizations: Learn to select the most appropriate visualization techniques for your specific research questions and data.
- Publication-Quality Interactive Visualizations: Work with real-life datasets (including examples like Olympic and Nobel Prize winners) and create interactive visualizations using packages like Plotly.
Each video introduces a new concept or technique you can immediately apply to your own projects. Reinforce your learning with practical quizzes and assignments.
Why Choose This Course?
- Real-World Focus: Learn by doing with practical examples and datasets.
- Expert Instruction: Benefit from the knowledge and experience gained from rigorous training at top universities and publishing in leading journals.
- Continuous Support: I'm here to help you succeed! Get personalized support throughout the course.
- 30-Day Money-Back Guarantee: Not satisfied? Request a full refund within 30 days.
Take action today and start your journey to becoming a confident data scientist! I'll personally support you every step of the way.
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