After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
Learn to create stunning data visualizations with Julia, the fast and powerful programming language for data science. This course starts with the basics of data visualization and gradually introduces advanced techniques. By the end, you'll have the skills to create impactful visualizations and confidently share your insights with others.
Tell stories with data
Begin your exploration by grasping the core concepts of data visualization, focusing on learning when and how to construct Julia's different visualizations, such as line plots, scatter plots, histograms, box plots, and violin plots.Bring your plotting skills to the next level
As you delve deeper into the course, you'll uncover advanced techniques for enhancing your visualizations, such as combining multiple plots, customizing every aspect of your visualizations, creating plotting recipes, and plotting data in DataFrames. By the end of this course, you'll be equipped with a versatile skill set in data visualization with Julia, enabling you to create stunning visualizations.Prerequisites
Curriculum
Course outline
1
First steps with Plots.jl
Unlock the power of Julia in this chapter and learn how to create stunning, professional-quality data visualizations using the Plots.jl package.
- Visualizing data50 XP
- Why should I plot?100 XP
- Should I plot?100 XP
- Interpreting a plot50 XP
- Getting started with Plots.jl50 XP
- Installing Plots.jl50 XP
- Price goes up100 XP
- Price changes100 XP
- Trading volume100 XP
- Plotting multiple variables50 XP
- Multiple line plots100 XP
- Correlated ETF funds100 XP
- Multiple line plots!100 XP
2
Histograms, time series and more
Expand your Julia data visualization skills as you delve into advanced plot types, including histograms, bar charts, time series plots, and box and violin plots.
3
Customizing Julia Plots
Master the art of data visualization customization! Discover how to wield themes, manipulate plot attributes, utilize color palettes, arrange multiple plots in grids with layouts, and create your series recipes. With these skills, you'll have the power to craft stunning and highly tailored visualizations to convey impactful insights.
4
Plotting Data in DataFrames
Learn to visualize data in DataFrames, using data manipulation tools for these data structures. Delve into multi-dimensional views and grid-based layouts for more effective data representation. Elevate your data storytelling and unlock new insights in your datasets!
J
Introduction to Data Visualization with Julia
Course
Complete
