Data Visualisation in Python

Uplatz offers this detailed course on Data Visualisation with Python. It is a self-paced video course. You will be awarded Course Completion Certificate at the end of the course.

Data Visualization is the discipline of trying to understand data by placing it in a visual context so that patterns, trends and correlations that might not otherwise be detected can be exposed. Python offers multiple great graphing libraries that come packed with lots of different features.

"A picture is worth a thousand words." We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way.

Data Visualisation with Python involves using Python programming language to build rich data visualizations and business intelligence or analytical reports. Python libraries such as Matplotlib and Seaborn are used to create rich visualizations.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

In this Data Visualization in Python course by Uplatz, you will learn-

• You'll learn Matplotlib and Seaborn and have a solid understanding of how they are used in applied machine learning.
• You'll work through hands on labs that will test the skills you learned in the lessons.
• You'll learn all the Python vernacular specific to data visualization you need to take you skills to the next level.
• You'll be on your way to becoming a real world machine learning engineer or data engineer.

• Data Visualisation with Python - all lectures 22:54:01

  • 1: Introduction to Data Visualisation in Python Preview 25:26
  • 2: Matplotlib - part 1 30:45
  • 3: Matplotlib - part 2 21:14
  • 4: NumPy and Pandas - part 1 54:11
  • 5: NumPy and Pandas - part 2 41:10
  • 6: NumPy and Pandas - part 3 30:20
  • 7: Data Visualisation Tools - part 1 49:50
  • 8: Data Visualisation Tools - part 2 37:01
  • 9: Data Visualisation Tools - part 3 47:32
  • 10: More Data Visualisation Tools - part 1 35:33
  • 11: More Data Visualisation Tools - part 2 40:33
  • 12: More Data Visualisation Tools - part 3 36:46
  • 13: Advanced Data Visualisation Tools - part 1 33:43
  • 14: Advanced Data Visualisation Tools - part 2 58:41
  • 15: Advanced Data Visualisation Tools - part 3 37:46
  • 16: Specialized Data Visualisation Tools (I) - part 1 35:56
  • 17: Specialized Data Visualisation Tools (I) - part 2 32:04
  • 18: Specialized Data Visualisation Tools (I) - part 3 40:49
  • 19: Specialized Data Visualisation Tools (II) - part 1 41:41
  • 20: Specialized Data Visualisation Tools (II) - part 2 27:58
  • 21: Specialized Data Visualisation Tools (II) - part 3 30:19
  • 22: Specialized Data Visualisation Tools (II) - part 4 43:07
  • 23: Seaborn - part 1 50:53
  • 24: Seaborn - part 2 24:39
  • 25: Seaborn - part 3 23:35
  • 26: Data Visualisation using Seaborn - part 1 31:38
  • 27: Data Visualisation using Seaborn - part 2 30:06
  • 28: Data Visualisation using Seaborn - part 3 43:18
  • 29: Data Visualisation using Seaborn - part 4 34:32
  • 30: Data Visualisation using Seaborn - part 5 45:54
  • 31: Project on Data Visualisation with Python - part 1 48:43
  • 32: Project on Data Visualisation with Python - part 2 50:03
  • 33: Project on Data Visualisation with Python - part 3 33:01
  • 34: Project on Data Visualisation with Python - part 4 43:33
  • 35: Project on Data Visualisation with Python - part 5 38:48
  • 36: Project on Data Visualisation with Python - part 6 42:53

Data Visualisation with Python – Course Syllabus

Introduction to Data Visualisation

• What is data visualization
• Benefits of data visualization
• Importance of data visualization
• Top Python Libraries for Data Visualization

Matplotlib

• Introduction to Matplotlib
• Install Matplotlib with pip
• Basic Plotting with Matplotlib
• Plotting two or more lines on the same plot

Numpy and Pandas

• What is numpy?
• Why use numpy?
• Installation of numpy
• Example of numpy
• What is a panda?
• Key features of pandas
• Python Pandas - Environment Setup
• Pandas – Data Structure with example

Data Visualisation tools

• Bar chart
• Histogram
• Pie Chart

More Data Visualisation tools

• Scatter Plot
• Area Plot
• Stacked Area Plot
• Box Plot

Advanced data Visualisation tools

• Waffle Chart
• Word Cloud
• HEAT MAP

Specialized data Visualisation tools (Part-I)

• Bubble charts
• Contour plots
• Quiver Plot

Specialized data Visualisation tools (Part-II)

• Three-Dimensional Plotting in Matplotlib
• 3D Line Plot
• 3D Scatter Plot
• 3D Contour Plot
• 3D Wireframe Plot
• 3D Surface Plot

Seaborn

• Introduction to seaborn
• Seaborn Functionalities
• Installing seaborn
• Different categories of plot in Seaborn
• Some basic plots using seaborn

Data Visualisation using Seaborn

• Strip Plot
• Swarm Plot
• Plotting Bivariate Distribution
• Scatter plot, Hexbin plot, KDE, Regplot
• Visualizing Pairwise Relationship
• Box plot, Violin Plots, Point Plot

Project on Data Visualisation using Python

Everyone

Passion to achieve your goals!

• Data Visualization Analyst
• Data Visualization Developer
• Data Visualization Engineer
• Data Analyst
• Data Scientist
• Data Engineer
• MI Analyst
• Reporting Analyst
• Python Programmer
• BI Developer
• Data & Analytics Professional
• Data Consultant

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Certificate of completion

Digital certificate - Included

Reed courses certificate of completion

Digital certificate - Included