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Learn Box Plots, earn certificates with paid and free online courses from University of Leeds, Vanderbilt University and other top universities around the world. Read reviews to decide if a class is right for you.
Master advanced data visualization techniques using diamonds dataset to uncover patterns through box plots, scatter plots, violin plots, strip plots, and pairplots for deeper statistical insights.
Master data visualization techniques using Python libraries while analyzing the Titanic dataset - create insightful plots, explore statistical patterns, and transform raw data into meaningful visual stories.
Learn data visualization and exploratory analysis using R. Develop statistical intuition, create graphical summaries, and perform probability experiments through hands-on practice with real-world examples.
Discover how to leverage AI tools for creating data visualizations, conducting statistical analyses, and generating clear explanations of patterns and relationships in your data.
People Analytics & Analytical Process to Human Capital | XL & Open Source Data Mining & ML Tools | 6 Data Assignments
Learn to create Power BI reports and visual charts with Python Matplotlib and Seaborn. Power bi business intelligence
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Learn to create data visualizations using Matplotlib in Python, from basic plots to advanced animations. Hands-on exercises help build practical skills for effective data representation.
Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
Master data visualization in Python using Matplotlib - from basic plots to advanced animations. Create compelling visual presentations, analyze distributions, and communicate insights effectively through hands-on coding exercises.
Learn to create interactive data visualizations using Plotly in Python, including scatter, bar, line, bubble, histogram, and box plots, with customization techniques for effective data presentation.
Learn the fundamentals of data visualization, including how to use common charts and graphs across a variety of different types of datasets.
Discover how to create informative and visually appealing data visualizations using ggplot2, the leading visualization package for R.
Explore the planning and design process of creating complex charts and graphics to visualize data.
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