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
To become an instructor, you need to sign up on the platform, complete your profile, and submit your course for approval.
There are no strict qualifications, but you should have strong knowledge and expertise in the subject you want to teach.
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.
