In this Data Visualization with Python Training course, you’ll learn how to use Python’s data visualization libraries, including NumPy, Pandas, Matplotlib, and Seaborn to better understand data analytics.
Data Visualization with Python Training Delivery Methods
In-Person
Online
Data Visualization with Python Training Course Benefits
Learn how to use various plot types with Python
Explore and work with different libraries for data visualization
Understand and create effective visualizations
Improve your Python data wrangling skills
Work with industry-standard tools, including Matplotlib, Seaborn, and Bokeh
Learn different data formats and representations
Learn how to use Geoplotlib and Bokeh
Continue learning and face new challenges with after-course one-on-one instructor coaching
Data Visualization with Python Training Outline
Module 1: Fundamentals of Python
In this module, you will learn about:
Importance of Data Visualization
Visualization Using Python
Data Cleaning
Data Wrangling
Types of Data
Statistics
Probability
Exploratory Data Analysis
Python
Jupyter Notebook
Google Colab and Kaggle Notebooks
JupyterLab
Basic Python Data Types
Flow Control
Slicing
Defining Functions
Lambdas
Classes
Module 2: NumPy and Pandas
Module 3: Visualization with Matplotlib
Module 4: Simplifying Visualization with Seaborn
Module 5: Plotting geospatial data with Geoplotlib
Module 6: Adding interaction with Bokeh
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