Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
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DataCamp Portfolio Challenge: Win $500 Publishing Your Best Work
Win up to $500 by building a free data portfolio with DataCamp Portfolio.
Building Diverse Data Teams with Tracy Daniels, Head of Insights and Analytics at Truist
Tracy and Richie discuss the best way to approach DE & I in data teams and the positive outcomes of implementing DEI correctly.
Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision Scientist
Richie speaks to Google's first Chief Decision Scientist and CEO of Data Scientific, Cassie Kozyrkov, covering decision science, data and AI.
Chroma DB Tutorial: A Step-By-Step Guide
With Chroma DB, you can easily manage text documents, convert text to embeddings, and do similarity searches.
Abid Ali Awan
Introduction to Non-Linear Model and Insights Using R
Uncover the intricacies of non-linear models in comparison to linear models. Learn about their applications, limitations, and how to fit them using real-world data sets.
Visualizing Climate Change Data with ggplot2: A Step-by-Step Tutorial
Learn how to use ggplot2 in R to create compelling visualizations of climate change data. This step-by-step tutorial teaches you to find, analyze, and visualize historical weather data.