What learn
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Perform statistical analysis using both R and Python
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Create advanced visualizations with ggplot2 and Seaborn
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Build and evaluate predictive machine learning models
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Clean, transform, and prepare messy real-world datasets
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Complete end-to-end data science projects for your portfolio
Meetings
Requirements
- <p>Basic understanding of mathematics and statistics is helpful but not required</p><p>No prior programming experience needed</p><p>A computer capable of installing R, RStudio, and Python</p>
Description
This dual-language data science course teaches you both R and Python, the two most popular programming languages in the data science ecosystem. You will gain a versatile skill set that makes you valuable in any data-driven organization.
The curriculum covers essential statistics, probability theory, data wrangling, advanced visualization techniques with ggplot2 and Seaborn, and machine learning algorithms. Each topic is taught in both R and Python so you can compare approaches and choose the best tool for each task.
With over 20 hands-on projects using real datasets from healthcare, finance, and technology sectors, you will build a diverse portfolio that demonstrates your ability to extract meaningful insights from complex data.
Frequently Asked Question
About Instructor
About Instructor
Award-winning UI/UX designer and creative director with 10 years of experience working with top brands. Expert in Figma, Adobe Creative Suite, and design systems. Specializes in teaching user-centered design thinking and prototyping for digital products.
