Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.37GB | Duration: 3h 5m
What you’ll learn
Create Awesome Data Visualizations Plots With Python
Learn How To Plot Interactive Data Visualisations In Jupyter Notebook and Google Colab
Learn Robhust Python Data Visualisation Libraries And Frameworks: Plotly, Matplotlib, Seaborn, Folium, ggplot, Altair, etc.
Learn How To Make 3D Plots With Plotly And Matplotlib
Learn How To Make Animated Plots With Plotly And Matplotlib
Learn Folium
Learn How To Tell Story With Data
Learn How To Draw Insights From Data Through Data Visualizations
Description
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
Box Plot
Violin Plot
Wind Rose Chart
WordCloud
Folium: Map Plot (marker cluster)
Time Series Plot
3D Plots
3D In Matplotlib
3D In Plotly
Animation Plots
Animated Plot with Matplotlib
When To Choose Which Plot?
This course takes you right from the beginning of Data Visualisation to advanced level of Plotting complex Data Visualisation plots
Who this course is for:
Anyone interested in Data Visualisation
Beginner Data Analyst who is curious about learning effective data visualisation skills
Beginner Data Scientist who is curious about learning effective data visualisation skills
Beginner Business Intelligence professional who is curious about learning effective data visualisation skills
Beginner Business Analyst who is curious about learning effective data visualisation skills
Any Python programmer who wants to learn how to use the various python frameworks data visualisation
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