The Complete Data Visualization with Python [2022]

Learn python and how to use it to analyze, visualize and present data. Includes tons of sample code and hours of video!

This course will give you resources to learn python and effectively use it to analyze and visualize data! Start your career in Data Science!

What you’ll learn

• Matplotlib.
• Pandas.
• Numpy.
• Plotly.
• Dash.
• 3D-plotting.
• 4D-plotting.
• Slider.
• KDE plots.
• Violin plots.
• Joint plots.
• Heatmaps.
• Bar Chart.
• Pie Chart.
• lm plots.
• Bubble_plot.

Course Content

• Introduction –> 2 lectures • 3min.
• Fundamental Visualization –> 17 lectures • 2hr 46min.
• Intermediate Visualization –> 11 lectures • 1hr 34min.
• Advanced Visualization –> 13 lectures • 2hr 4min.
• Thank you –> 1 lecture • 1min.

Requirements

This course will give you resources to learn python and effectively use it to analyze and visualize data! Start your career in Data Science!

You’ll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.

You will also get lifetime access to many python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!

By the end of this course you will:

– Have an understanding of how to program in Python.

– Know how to create and manipulate arrays using NumPy and Python.

– Know how to use pandas to create and analyze data sets.

– Know how to use matplotlib and seaborn libraries to create beautiful data visualization.

– Have an understanding of many other plots such as lm plots, Bubble plots, and many other kinds of plots which will not be covered in any other course.

– Have an understanding of plotly and dash and how to use them in the most efficient way.

– Know how to perform 3D and 4D plots.

Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are more than 5 projects for you to practice. These projects are listed below:

• World Health Report project.
• Poverty Statistics Data project.
• Google Play Store dataset project.
• HPI dataset Project.
• Universities dataset Project.