Data Visualisation is one of the most effective skills to have whether you are a Data Analyst, Data Scientist, Machine Learning Engineer, Business Intelligence Specialist or A. I. Specialist.
Not long ago, the ability to create smart data visualizations, or dataviz, was a nice–to–have skill. Now visual communication is a must–have skill for all data analyst, data scientist, machine learning engineers, business analyst, business intelligence professionals and managers, because more and more often, it s the only way to make sense of the work they do.
In this Data Visualisation tutorial, we will learn a lot of data visualisation techniques and the different types of data visualisations that we can use during our data analysis to draw meaningful insights.
There a lot of Data Visualisation Libraries and Frameworks. We will consider the most used and most effective ones:
Matplotlib
Seaborn
Bokeh
Altair
Plotly –Dash
ggplot
We Will Be Learning How To Perform Different Types Of Data Visualisation Plots:
Bar Graph
Horizontal Bar
Stacked Bar
Group Bar
Histogram
Histogram with Box Margin
Marginal Histogram
Facet Histogram
Dist Plot
Bivariate and Multivariate Displot
Hex Plot
Scatter Plot
Rel plot
LM Plot
Tree Plot
Pie Chart
HeatMap
Sunburst
Funnel Plot
Bubble Chart
Specification: Data Visualisation With Python-2022
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Price | $9.99 |
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Provider | |
Duration | 3 hours |
Year | 2021 |
Level | All |
Language | English ... |
Certificate | Yes |
Quizzes | No |
$34.99 $9.99
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