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Data Visualization with Python Training

Data Visualization with Python Training

Course 1274

Duration: 3 days
Labs: Yes
Language: English
Level: Intermediate

In this Data Visualisation with Python Training course, you’ll learn how to use Python’s data visualisation libraries, including NumPy, Pandas, Matplotlib, and Seaborn to better understand data analytics.

Data Visualisation with Python Training Delivery Methods

In-Person
Online

Data Visualisation with Python Training Course Benefits

Learn how to use various plot types with Python

Explore and work with different libraries for data visualisation

Understand and create effective visualisations

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 Visualisation with Python Training Outline

Module 1: Fundamentals of Python

In this module, you will learn about:

Importance of Data Visualisation
Visualisation 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

In this module, you will learn about:

NumPy
The NumPy ndarray Object
Slicing ndarrays
Boolean Indexing
Element-wise Arithmetic
Transpose of a ndarray
Dot Products
Stacking
SciPy
pandas
Series and DataFrames
Loading and Saving Data With pandas
Creating DataFrames
Inspecting Data
Selecting Columns and Rows
The head() and tail() methods
Basic Plots
Descriptive Statistics From a DataFrame
Filtering, Sorting, and Grouping
Replacing Values and Renaming Columns
Joining and Combining Dataframes
Reading Data From Files
Reading From a Relational Database
Loading External Data From NoSQL Stores (MongoDB)
SciPy
Sci-Kit Learn

Module 3: Visualisation with Matplotlib

In this module, you will learn about:

Module 4: Simplifying Visualisation with Seaborn

In this module, you will learn about:

Seaborn
Styling
Scaling and the Plotting Context
Overriding Context Settings with the rc Parameter
Themes
Colors in Seaborn
Varying Hue to Distinguish Categories
Vary Luminance to Represent Numbers
Choosing a Palette with the color_palette() Function
Qualitative Color Palettes
Sequential Palettes
Diverging Palettes
Histogrammes
Multiple Histogrammes on the Same Axes
Kernel Density Plots
Box Plots
Violin Plots
Contour Plots
The FacetGrid
Some Functions that Return a FacetGrid
Pair Plots
The relplot() Function
The regplot() and implot() Functions
Creating a Regression Plot
Variables That Take Discrete Values
Using a Representative value
Squarify

Module 5: Plotting geospatial data with Geoplotlib

In this module, you will learn about:

Geoplotlib
Input and Output
Interaction
The dot Visualisation
Zooming
2D Histogramme
Heat Map
Voronoi Tessellation
Seed Points
Delaunay Triangulation
GeoJSON
Adding Color and Tooltips
Tile Providers
The DarkMatter Tiles

Module 6: Adding interaction with Bokeh

In this module, you will learn about:

How Bokeh Works
Bokeh Server
Programming Interfaces
The Bokeh Models
Glyphs, Plots, and Layouts
The bokeh.plotting Interface
Some Glyph Methods on the Figure Object
Widgets in Bokeh
Using Bokeh Server
Setting Up the Widgets
The TextField Widget
The Other Widgets
Running Bokeh Server
Widgets Using CustomJS
Widgets with ipwidgets

Get This Course 23 730 kr

3-day instructor-led training course
After-course coaching available

Include dates with afternoon start times

#1274

aug 15 - 17 9:00 - 16:30 CEST

Stockholm or Virtual
aug 15 - 17 10:00 - 18:00 CEST

London or Virtual
aug 23 - 25 15:00 - 22:30 CEST

Ottawa or Virtual
okt 18 - 20 15:00 - 22:30 CEST

Herndon, VA or Virtual
nov 14 - 16 9:00 - 16:30 CET

Stockholm or Virtual
nov 14 - 16 10:00 - 18:00 CET

London or Virtual
jan 10 - 12 15:00 - 22:30 CET

Virtual
feb 13 - 15 9:00 - 16:30 CET

Stockholm or Virtual
feb 13 - 15 10:00 - 18:00 CET

London or Virtual
feb 21 - 23 15:00 - 22:30 CET

Ottawa or Virtual
apr 17 - 19 15:00 - 22:30 CEST

Herndon, VA or Virtual

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Blended learning models
Tailored content
Expert team coaching

#1274

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Data Visualisation With Python Training FAQs

A working knowledge of Python to the level of Introduction to Python Training

Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.