Learn Effective Data Visualization using Plotly Express
Learn Effective Data Visualization using Plotly Express, available at $19.99, has an average rating of 4.8, with 50 lectures, based on 10 reviews, and has 76 subscribers.
You will learn about Students would learn the different types of visualization charts which exist and when to use each. Students would learn how to create visualization charts using plotly express and python. Students would learn how to approach a data science question and respond with visualization. Students would be able to create animations using Plotly Express. This course is ideal for individuals who are Beginner Python developers curious about data visualization using Plotly express. or Python developers interested in Data Visualization. or Anybody interested in learning to create interactive visualizations It is particularly useful for Beginner Python developers curious about data visualization using Plotly express. or Python developers interested in Data Visualization. or Anybody interested in learning to create interactive visualizations.
Enroll now: Learn Effective Data Visualization using Plotly Express
Summary
Title: Learn Effective Data Visualization using Plotly Express
Price: $19.99
Average Rating: 4.8
Number of Lectures: 50
Number of Published Lectures: 50
Number of Curriculum Items: 50
Number of Published Curriculum Objects: 50
Original Price: $79.99
Quality Status: approved
Status: Live
What You Will Learn
- Students would learn the different types of visualization charts which exist and when to use each.
- Students would learn how to create visualization charts using plotly express and python.
- Students would learn how to approach a data science question and respond with visualization.
- Students would be able to create animations using Plotly Express.
Who Should Attend
- Beginner Python developers curious about data visualization using Plotly express.
- Python developers interested in Data Visualization.
- Anybody interested in learning to create interactive visualizations
Target Audiences
- Beginner Python developers curious about data visualization using Plotly express.
- Python developers interested in Data Visualization.
- Anybody interested in learning to create interactive visualizations
Learn Effective Data Visualization using Plotly Express
Data visualization is a very important yet understated skill required for everyday life and transition into data science and analytics in general.
This is the most comprehensive course on Data visualization using Plotly Express, in this course, you not only learn how to create visuals and how to write the code, but you would learn when to use what visualization method.
In this course, you learn how to create the following chart types using Plotly and Plotly express:
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Scatterplots.
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Lineplots.
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Areaplots.
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Histogram.
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Boxplots.
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Violinplots.
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Pie charts.
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Sunburst.
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Treemaps.
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Choropleth maps.
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and much more…
Each section in this course covers a specific chart and is self contained (meaning you can take each section in isolation), there are tons of exercises and case studies to show when to use which visualization chart.
Some of the datasets which we would analyze visually are:
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All stocks 5 year price.
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Apple stock price 5 years.
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Auto MPG Dataset.
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Gapminder dataset.
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Iris flower dataset.
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Share of individuals using the internet dataset.
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Tips dataset.
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World Happiness ranking 2019.
By the end of the course, you would have mastered the art of data visualization using the python programming language and Plotly Express!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Download Python software (Optional)
Lecture 2: Installation of libraries
Lecture 3: Code repository
Lecture 4: How to download the code for this series
Lecture 5: Datasets used in this course
Chapter 2: Scatterplots (2D and 3D)
Lecture 1: Introduction to scatterplots
Lecture 2: Project 1: Iris Dataset Scatterplot
Lecture 3: Project 1: Iris Dataset Scatterplot Part 2
Lecture 4: Project 2: Gapminder Dataset Scatterplot Part 2
Lecture 5: Project 2: Gapminder Dataset Part 2 Adding log x axis to scatterplot
Lecture 6: Exercise 1: Reproduce this chart for the Auto MPG Dataset
Lecture 7: Exercise 1 Solution
Lecture 8: Case study 1: How does the GDP, perception of corruption affect happiness
Lecture 9: Case study 1 Possible solution
Lecture 10: Creating a 3D Scatterplot for the Iris Dataset
Chapter 3: Visualizing Geospatial data using Choropleth Maps
Lecture 1: Introduction to choropleth maps
Lecture 2: Project 1: Internet usage across different countries in the world.
Lecture 3: Project 2: Choropleth Map showing the GDP per capital for countries in the world
Lecture 4: Exercise 1 Happiness across the different countries in the world
Lecture 5: Solution to Exercise 1
Chapter 4: Line Plots and Area Plots
Lecture 1: Project 1: Create a Line plot of Apple stock prices
Lecture 2: Project 1: Create Line plots with Multiple lines (Apple Stock Prices)
Lecture 3: Area Plots
Lecture 4: Bad example of an Area chart
Chapter 5: Histograms, Boxplots and Violinplots (1D Distribution charts)
Lecture 1: Introduction to Histogram, Boxplots and Violinplots.
Lecture 2: Project 1: Histogram plot for Iris dataset
Lecture 3: Project 2: Boxplot chart basics using Iris Dataset
Lecture 4: Project 3: Violinplots for Iris Dataset
Lecture 5: Project 4: Miles Per Gallon distribution in Autompg dataset using Histogram
Lecture 6: Project 5: MPG distribution Boxplot visualization
Lecture 7: Project 6: MPG distribution using Violinplots
Lecture 8: Exercise 1 Histogram plots for the Tips Dataset
Lecture 9: Solution to Exercise 1
Lecture 10: Exercise 2 Visualizing the tips dataset using Boxplots
Lecture 11: Solution to Exercise 2
Chapter 6: Visualizing Part of a whole Pie charts, Sunburst charts and Treemap charts
Lecture 1: Introduction to Pie charts, Sunburst charts and Treemap charts
Lecture 2: Project 1: Create a Pie chart for the Tips dataset
Lecture 3: Case study: What gender gives the most tips
Lecture 4: Case study solution
Lecture 5: Project 2: Bad Example of Pie chart usage
Lecture 6: Project 3: Treemap charts for tips dataset
Lecture 7: Exercise Treemap showing the world population
Lecture 8: Exercise solution
Lecture 9: Project 4: Create Sunburst charts for the tips dataset
Lecture 10: Project 5: Bad example of a sunburst chart
Chapter 7: Create Animations using Plotly Express
Lecture 1: Animation of a scatter plot
Lecture 2: Animation of a choropleth chart
Chapter 8: Case study projects
Lecture 1: Case study 1 Video game sales across various gaming platforms and genre
Lecture 2: Possible solution to Case study 1 using Treemaps
Lecture 3: Bad solution using sunburst charts
Instructors
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The Fullstack Ninja
Committed to teaching valuable in-demand tech skills.
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- 4 stars: 3 votes
- 5 stars: 7 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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