Dive into the world of data visualization with “Python for Data Visualization: The Complete Masterclass.” This course is designed to transform how you perceive and present data. Whether you’re looking to create stunning line plots, dynamic histograms, or sophisticated scatter plots, this masterclass has got you covered. Using powerful tools like matplotlib, seaborn, Plotly, and Cufflinks, you’ll unlock the secrets to making your data not only comprehensible but also visually appealing. “Python for Data Visualization: The Complete Masterclass” ensures you gain a comprehensive understanding of how to visualize data in a way that makes a significant impact. By the end of this course, your ability to convey complex information through simple, beautiful visualizations will be second to none. Enrol now in “Python for Data Visualization: The Complete Masterclass” and elevate your data presentation skills to professional heights.
Learning Outcomes
After studying the course materials of the Python for Data Visualization: The Complete Masterclass there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8.
This Python for Data Visualization: The Complete Masterclass does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Python for Data Visualization: The Complete Masterclass was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.
Setup & Installation | |||
Installing the Anaconda Navigator | 00:07:00 | ||
Installing Matplotlib, seaborn & cufflinks | 00:03:00 | ||
Reading data from a csv file with pandas | 00:03:00 | ||
Explaining Matplotlib libraries apart | 00:07:00 | ||
Plotting Line Plots with matplotlib | |||
Changing the axis scales | 00:06:00 | ||
Label Styling | 00:04:00 | ||
Adding a legend | 00:04:00 | ||
Changing colors, linestyles, linewidth and markers | 00:09:00 | ||
Adding a grid to the chart | 00:04:00 | ||
Filling only a specific area | 00:07:00 | ||
Filling area on line plots and filling only specific area | 00:04:00 | ||
Changing fill color of different areas (negative vs positive for example) | 00:03:00 | ||
Plotting Histograms & Bar Charts with matplotlib | |||
Changing edge color and adding shadow on the edge | 00:04:00 | ||
Adding legends, titles, location and rotating pie chart | 00:06:00 | ||
Histograms vs Bar charts (Part 1) | 00:03:00 | ||
Histograms vs Bar charts (Part 2) | 00:02:00 | ||
Changing edge colour of the histogram | 00:03:00 | ||
Changing the axis scale to log scale | 00:07:00 | ||
Adding median to histogram | 00:04:00 | ||
Advanced Histograms and Patches (Part 1) | 00:04:00 | ||
Advanced Histograms and Patches (Part 2) | 00:05:00 | ||
Overlaying bar plots on top of each other (Part 1) | 00:04:00 | ||
Overlaying bar plots on top of each other (Part 2) | 00:01:00 | ||
Creating Box and Whisker Plots | 00:11:00 | ||
Plotting Stack Plots & Stem Plots | |||
Plotting a basic stack plot | 00:13:00 | ||
Plotting a stem plot | 00:05:00 | ||
Plotting a stack plot od data with constant total | 00:04:00 | ||
Plotting Scatter Plots with matplotlib | |||
Plotting a basic scatter plot | 00:06:00 | ||
Changing the size of the dots | 00:06:00 | ||
Changing colors of markers | 00:05:00 | ||
Adding edges to dots | 00:04:00 | ||
Time Series Data Visualization with matplotlib | |||
Using the Python datetime module | 00:03:00 | ||
Connecting data points by line | 00:04:00 | ||
Converting string dates using the .to_datetime() pandas method | 00:05:00 | ||
Plotting live data using FuncAnimation in matplotlib | 00:04:00 | ||
Creating multiple subplots | |||
Setting up the number of rows and columns | 00:04:00 | ||
Plotting multiple plots in one figure | 00:02:00 | ||
Getting separate figures | 00:03:00 | ||
Saving figures to your computer | 00:03:00 | ||
Plotting charts using seaborn | |||
Introduction to seaborn | 00:02:00 | ||
Working on hue, style and size in seaborn | 00:05:00 | ||
Subplots using seaborn | 00:05:00 | ||
Line plots | 00:02:00 | ||
Cat plots | 00:03:00 | ||
Jointplot, pair plot and regression plot | 00:02:00 | ||
Controlling Plotted Figure Aesthetics | 00:03:00 | ||
Plotly and Cufflinks | |||
Installation and Setup | 00:02:00 | ||
Line, Scatter, Bar, box and area plot | 00:07:00 | ||
3D plots, spread plot and hist plot, bubble plot, and heatmap | 00:07:00 |
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