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Results for "box plots"

  • C

    Coursera

    Crash Course on Interactive Data Visualization with Plotly

    Skills you'll gain: Plotly, Histogram, Interactive Data Visualization, Scatter Plots, Plot (Graphics), Data Visualization, Data Analysis, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Visualization with Plotly Express

    Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    269 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Explore and Visualize Data the Python Way

    Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Basic Statistics in Python (Correlations and T-tests)

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Plots Creation using Matplotlib Python

    Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Analysis, Data Structures

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Visualization using dplyr and ggplot2 in R

    Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Practical Geospatial Geostatistical Modeling

    Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, R (Software), Probability & Statistics, Ggplot2, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    I

    Imperial College London

    Creative Thinking: Techniques and Tools for Success

    Skills you'll gain: Creative Thinking, Brainstorming, Ideation, Creativity, Cognitive flexibility, Problem Solving, Collaboration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Data Visualization using Plotnine and ggplot

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Prep for Machine Learning in Python

    Skills you'll gain: Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Wrangling, Data Manipulation, Data Processing, Plot (Graphics), Data Visualization, Data Transformation, Descriptive Statistics, Data Analysis, Pandas (Python Package), Box Plots, Data Validation, Python Programming, Data Science, Scikit Learn (Machine Learning Library), Statistical Analysis

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Black-box and White-box Testing

    Skills you'll gain: Cucumber (Software), Gherkin (Scripting Language), Software Testing, Testability, Test Case, Behavior-Driven Development, Code Coverage, Acceptance Testing, Unit Testing, Functional Testing, Test Automation, JUnit, Requirements Analysis, Java Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis and Visualization Foundations

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization, Data Visualization Software, Big Data, IBM Cognos Analytics, Data Analysis, Statistical Analysis, Data Mining, Dashboard, Apache Hadoop, Data Collection, Excel Formulas, Looker (Software), Scatter Plots, Data Wrangling, Tree Maps, Microsoft Excel, Data Cleansing

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    29K reviews

    Beginner · Specialization · 3 - 6 Months

1…789…26

In summary, here are 10 of our most popular box plots courses

  • Crash Course on Interactive Data Visualization with Plotly: Coursera
  • Data Visualization with Plotly Express: Coursera
  • Explore and Visualize Data the Python Way: Coursera
  • Basic Statistics in Python (Correlations and T-tests): Coursera
  • Plots Creation using Matplotlib Python: Coursera
  • Data Visualization using dplyr and ggplot2 in R: Coursera
  • Practical Geospatial Geostatistical Modeling: Case Western Reserve University
  • Creative Thinking: Techniques and Tools for Success: Imperial College London
  • Data Visualization using Plotnine and ggplot: Coursera
  • Data Prep for Machine Learning in Python: Corporate Finance Institute

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