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#dataanalytic — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #dataanalytic, aggregated by home.social.

  1. Standard deviation is one of the most important concepts in statistics, providing a way to measure how spread out data points are around the mean. It helps in understanding data variability, which is critical for interpreting trends and patterns.

    Image credit to Wikipedia: en.wikipedia.org/wiki/Standard

    Interested in learning further? Check out my online course on Statistical Methods in R. Check out this link for more details: statisticsglobe.com/online-cou

    #dataanalytic #dataanalytics #advancedanalytics

  2. Understanding probability distributions is key to making informed decisions in statistics and data science. Probability distributions describe how the values of a variable are expected to behave, making them crucial for interpreting data and predicting outcomes.

    The visualization shown in this post illustrates the distributions.

    Further details: statisticsglobe.com/online-cou

    #dataanalytic #tidyverse #rstats #datavisualization

  3. When it comes to learning data science, statistics, and programming, having the right resources is essential.

    You can find all links and further descriptions here: statisticsglobe.com/statistics

    If you are looking for a structured course that helps you get started with these topics, you may check out my introduction to R programming course. Further details: statisticsglobe.com/online-cou

    #dataviz #dataanalytic #pythondeveloperjobs #visualanalytics #bigdata #rprogramming

  4. I've put together a comprehensive list of essential R programming functions, featuring 511 (!) tutorials and examples. This can serve as your go-to cheat sheet for mastering R programming!

    All tutorials: statisticsglobe.com/r-function

    Learn more by visiting this link: statisticsglobe.com/online-cou

    #datascienceeducation #rprogramming #dataanalytic

  5. Did you know that Africa is home to some of the fastest-growing economies in the world? 🌍 The continent's diverse economic landscape presents both immense opportunities and unique challenges. Let’s dive into the economic dynamics across Africa!

    I have created an extensive article on this topic for those who want to dive deeper into the GDP comparison across Africa.

    Learn more by visiting this link: statisticsglobe.com/gdp-africa

    #rprogramming #pythoncourse #dataanalytic

  6. Understanding the difference between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) can be challenging!

    Visualization source: en.wikipedia.org/wiki/Deep_lea

    #database #datastructure #datascience #dataanalytic

  7. Creating publication-ready plots in R is easier than ever with ggpubr. This extension for ggplot2 simplifies the process of generating clean and professional graphics, especially for exploratory data analysis and reporting.

    Course link: statisticsglobe.com/online-cou

    #dataanalytics #rstats #dataanalytic #datavisualization #package #datasciencetraining #visualanalytics #datastructure #tidyverse #ggplot2

  8. The R programming language is, in my opinion, the best tool for statistical analysis and data visualization.

    By enrolling in the course, you’ll receive lifetime access to:

    - 20 video lessons on statistical methods & their application in R.
    - Exclusive group chat for questions, support, and networking.
    - Quizzes, projects, scripts, and additional resources to enhance your skills.

    Link: statisticsglobe.com/online-cou

    #dataanalytic #visualanalytics #datavisualization

  9. When building regression models, watch out for significant predictors! 🚨 Sometimes, variables that seem important might lose their significance when the model gets better.

    See this link for additional information: statisticsglobe.com/webinar-da

    #businessanalyst #dataanalytic #visualanalytics #dataviz #data #bigdata

  10. Completing another challenge in the course, I built a sales dashboard for a pizzeria. I used SQL for Etl, Figma to create the dashboad background and power bi for the measures and the report.

    #figma #PowerBi #SQL #DATAVIZ #DATAANALYTIC

  11. Hey, I've created a tutorial on how to add significance levels to a ggplot2 plot using the ggsignif package in the R programming language. The tutorial shows examples for boxplots & barcharts: statisticsglobe.com/ggsignif-p

    #ggplot2 #dataviz #rprogramminglanguage #dataanalytic

  12. Hey, I've created a tutorial on how to apply the aggregate function in the R programming language: statisticsglobe.com/aggregate-

    #dataanalytic #rstats

  13. Hey, I've published a tutorial on how to draw an interactive treemap using the plotly package in the Python programming language. The tutorial was created in collaboration with Ifeanyi Idiaye: statisticsglobe.com/plotly-tre

    #datascientists #pythonprojects #dataanalytic

  14. Hey, I've published a tutorial on how to draw an interactive treemap using the plotly package in the Python programming language. The tutorial was created in collaboration with Ifeanyi Idiaye: statisticsglobe.com/plotly-tre

    #datascientists #pythonprojects #dataanalytic

  15. Hey, I've published a tutorial on how to draw an interactive treemap using the plotly package in the Python programming language. The tutorial was created in collaboration with Ifeanyi Idiaye: statisticsglobe.com/plotly-tre

    #datascientists #pythonprojects #dataanalytic

  16. Drawing Histograms is so Simple in Python!

    Drawing histograms in Python is so simple. Just import pandas, create a DataFrame and use the plot() function!

    #python #pythonlearning #pandas #dataanalytic #coding #dataviz

  17. Hey, I've created a video tutorial on how to draw multiple boxplots in the same graph using the R programming language. The tutorial shows examples for Base R, ggplot2 & the lattice package: m.youtube.com/watch?v=K-GKhyy8

    #tidyverse #package #rstats #datavisualization #datascientists #ggplot2 #dataanalytic