Data Science Articles and Abstracts – datanovia

Keywords

data science, machine learning, data analysis, workflow automation

Introduction

Data science is an interdisciplinary field that combines statistical methods, programming, and domain knowledge to extract meaningful insights from complex datasets. It powers innovation in fields like healthcare, business analytics, and scientific research. Explore expert-level tutorials, tools, and abstracts addressing data science applications in machine learning, visualization, and reproducible analysis.

List of Articles

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Shiny Practical Projects: Build Real-World Applications

Hands-On Portfolio Projects for Professional Development

Shiny Data Science Interactive Dashboards

Alboukadel Kassambara, 2025-05-23, in Tools

Apply your Shiny skills to real-world scenarios with comprehensive hands-on projects. Build data explorers, clinical calculators, biostatistics dashboards, and enterprise platforms that showcase…

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Tools for Data Science: A Comprehensive Guide

Essential Tools from VSCode to Docker, Git, Quarto, Jupyter, and Mutagen

Tools Data Science

Alboukadel Kassambara, 2025-03-09, in Tools

Explore the wide range of tools available for data science workflows. This section covers topics from Visual Studio Code, Docker, Git, Quarto, Jupyter and Mutagen.

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Programming Hub: Learn Python, R, and More

Comprehensive Tutorials for Data Science and Software Development

Python R Data Science Programming Tutorials

Alboukadel Kassambara, 2024-02-18, in Programming

Explore our extensive collection of programming tutorials, ranging from foundational topics to advanced techniques. Learn Python, R, and cross-language interoperability, plus best practices, tools…

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Transitioning Between Python and R

A Gateway to Dual-Language Data Science

Programming Python vs R Data Science Beginner Advanced

Alboukadel Kassambara, 2024-02-13, in Programming

Explore comprehensive guides and side-by-side comparisons designed to help you transition between Python and R. Whether you're an R user moving to Python or working in a multi-language environment…

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Machine Learning Workflows: tidymodels vs. scikit-learn

Comparing ML Model Training, Evaluation, and Prediction in R and Python

Programming Python vs R Machine Learning Data Science Intermediate

Alboukadel Kassambara, 2024-02-13, in Programming

Compare machine learning workflows in R and Python by examining tidymodels in R versus scikit-learn in Python. This tutorial provides side-by-side examples for model training, evaluation, and…

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Python for R Users: Transitioning to Python for Data Science

A Practical Guide for R Users to Embrace Python

Programming Python vs R Data Science Beginner

Alboukadel Kassambara, 2024-02-13, in Programming

This tutorial helps R users transition to Python by highlighting equivalent functionalities and workflows. Through side-by-side examples in data manipulation, visualization, and modeling, you'll…

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Data Science Workflow: Python vs. R

A Comparative Analysis of Data Science Processes

Programming Python vs R Data Science Interoperability Advanced

Alboukadel Kassambara, 2024-02-12, in Programming

Compare and contrast data science workflows using Python and R. This tutorial explores the strengths and limitations of each ecosystem across data import, cleaning, modeling, and visualization…

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Cross-Programming in Data Science

Leveraging Multiple Languages for Optimal Workflows

Programming Python vs R Data Science Interoperability Advanced

Alboukadel Kassambara, 2024-02-12, in Programming

Explore how to integrate and compare data science workflows across different programming languages. This section highlights techniques for Python and R interoperability, workflow comparisons, and…

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Python and R Interoperability

Integrating Python into R with reticulate – Expanded Guide

Programming Python vs R Data Science reticulate Interoperability Advanced

Alboukadel Kassambara, 2024-02-12, in Programming

Learn how to seamlessly integrate Python within R using the reticulate package. This expanded tutorial demonstrates how to run Python code from R, import Python libraries, transfer data between…

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Data Visualization with ggplot2

Step-by-Step Guide for Creating and Customizing Plots in R

R Programming Data Science ggplot2 Data Visualization Beginner

Alboukadel Kassambara, 2024-02-10, in Programming

Learn how to create and customize high-quality data visualizations using ggplot2 in R. This tutorial covers the basics of ggplot2 syntax, building different types of plots, and advanced…

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Data Wrangling with dplyr

Transform and Summarize Data with dplyr in R

R Programming Data Wrangling Data science dplyr Tidyverse Beginner

Alboukadel Kassambara, 2024-02-10, in Programming

Learn how to efficiently manipulate and transform data using dplyr. This tutorial covers key functions such as filter(), select(), mutate(), group_by(), and summarize() to streamline your data…

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Data Science with R: Overview

Transform, Visualize, and Model Data Using R

R Programming Data Science Data Wrangling ggplot2 Statistical Modeling Beginner Intermediate

Alboukadel Kassambara, 2024-02-10, in Programming

Explore the world of data science in R through essential topics including data wrangling with dplyr, data visualization with ggplot2, and statistical modeling with lm() and glm(). This overview…

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Statistical Modeling with lm() and glm() in R

Building, Diagnosing, and Enhancing Regression Models

R Programming Data Science Statistical Modeling lm glm Regression Model Diagnostics Advanced

Alboukadel Kassambara, 2024-02-10, in Programming

Learn how to perform linear and generalized linear modeling in R using lm() and glm(). This expanded tutorial covers model fitting, diagnostics, interpretation, and advanced techniques such as…

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Tidyverse for Data Science

An In-Depth Tutorial on dplyr, tidyr, and ggplot2

R Programming Tidyverse Data Science Advanced

Alboukadel Kassambara, 2024-02-10, in Programming

Learn how to harness the power of the tidyverse for data science. This tutorial provides an in-depth look at dplyr for data manipulation, tidyr for data tidying, and ggplot2 for data visualization…

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Overview of R Programming

A Comprehensive Resource for R Users

R Programming Data Science Beginner Advanced

Alboukadel Kassambara, 2024-02-10, in Programming

Explore the world of R programming on Datonovia. This section covers essential topics for beginners and advanced users, including R basics, advanced techniques, data science applications, and…

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Data Visualization with Seaborn

Advanced Visualization Techniques in Python

Python Data Science Seaborn Data Visualization Advanced

Alboukadel Kassambara, 2024-02-07, in Programming

Explore advanced data visualization techniques using Seaborn in Python. This tutorial covers complex plotting, customization, and statistical visualizations tailored for data science workflows.

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Data Wrangling with Pandas

Data Import, Cleaning, and Manipulation for Data Science

Python Data Science Pandas Data Wrangling Beginner

Alboukadel Kassambara, 2024-02-07, in Programming

Learn how to efficiently import, clean, and manipulate data using Pandas in Python. This tutorial demonstrates practical techniques for data wrangling within a data science workflow.

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Data Visualization with Matplotlib

Creating Dynamic Plots and Charts in Python

Python Data Science Matplotlib Data Visualization Beginner

Alboukadel Kassambara, 2024-02-07, in Programming

Learn how to create various plots and charts using Matplotlib in Python. This tutorial covers essential plotting techniques, customization options, and best practices for effective data…

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Python Data Science

Data Wrangling, Visualization, and Machine Learning

Python Data Science Pandas Matplotlib Seaborn Scikit-learn Beginner Intermediate

Alboukadel Kassambara, 2024-02-07, in Programming

Explore essential tutorials in Python Data Science. Learn how to wrangle data with Pandas, create compelling visualizations with Matplotlib and Seaborn, and build machine learning models with…

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Machine Learning with Scikit‑Learn

Build and Evaluate Simple ML Models in Python

Python Data Science Scikit-learn Machine Learning Intermediate

Alboukadel Kassambara, 2024-02-07, in Programming

Learn how to build and evaluate simple machine learning models using Scikit‑Learn in Python. This tutorial provides practical examples and techniques for model training, prediction, and evaluation…

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Python vs. R: Choosing the Right Tool

Comparing Use Cases, Advantages, and Applications

Getting Started Programming Python R Python vs R Data Science

Alboukadel Kassambara, 2024-02-01, in Programming

Explore a comparative guide on Python and R, examining their strengths, use cases, and technical differences to help you decide which language best fits your data science and programming needs.

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