Description
Matplotlib Mastery Course: Python Data Visualization Unleashed. Welcome to Mastering Matplotlib for Python Data Visualization, a comprehensive course designed to strengthen the skills needed to create compelling visualizations using Matplotlib in Python. This course caters to participants from beginners to advanced users and provides a step-by-step journey through the intricacies of Matplotlib, a powerful and versatile plotting library. Course Overview: Matplotlib is a leading data visualization library in Python, and this course is designed to give you an in-depth understanding of its features. Whether you’re a data scientist, analyst, or anyone who works with data, mastering Matplotlib will increase your ability to effectively communicate insights. What you will learn:
- Basics for Beginners: Understand the basic elements of Matplotlib, including simple and line charts, bar charts, and scatter plots. Learn to annotate, customize layouts, and work effectively with Pyplot.
- Intermediate techniques: Dive into more advanced topics, including legends, complex layouts, and limited layouts. Enhance your visualization skills with nested grids and master the customization of shape layouts.
- Advanced Concepts: Explore path tutorials, color customization, and advanced transformations. Understand colormap creation, logarithmic scales, and power law transformations. Address text features, annotations, and layout intricacies.
- Hands-on Case Study: Apply your Matplotlib skills to a real-world scenario with an e-commerce data analysis case study. Learn how to pre-process data and create various visualizations to provide valuable insights for decision making.
Why take this course:
- Hands-on Learning: Participate in real-world hands-on exercises and case studies to reinforce your learning.
- Comprehensive curriculum: Covers Matplotlib from basics to advanced techniques, ensuring a comprehensive understanding of the library.
- Expert guidance: Benefit from expert insights and guidance to effectively navigate the nuances of data visualization.
Join us on this journey to master Matplotlib and improve your data visualization skills. Let’s turn raw data into meaningful insights that drive informed decision making. Get ready to unlock the full potential of Matplotlib!
Part 1: Matplotlib for Python Data Visualization – Beginners
In this introductory section, participants will learn the basics of Matplotlib for Python data visualization. Starting with the basics, such as simple graphs and line charts, the course progresses to cover more advanced visualizations such as bar charts, scatter charts, and various annotation techniques. Additionally, participants will gain insights into customizing images and styles using Pyplot along with exploring the intricacies of customizing layouts.
Part 2: Matplotlib for Python Data Visualization – Medium
Building on the foundational knowledge gained in the beginner section, the intermediate section focuses on improving visualization skills. Participants will learn to work effectively with legends, customize shape layouts, and use advanced techniques such as constrained layouts and grid specifications. This section empowers learners with more complex and nested grid layouts and provides a comprehensive understanding of layout manipulation.
Part 3: Matplotlib for Python Data Visualization – Advanced
Advanced Matplotlib Proficiency Level introduces participants to complex concepts and techniques. Starting with the path and effects tutorials, this section continues with changing shapes, customizing color, and creating a color map. Participants will cover logarithmic scaling, power law transformations, and advanced color mapping. This section concludes with an in-depth exploration of text features, annotations, layouts, and different annotation styles.
Part 4: Matplotlib Case Study – E-Commerce Data Analysis
In this hands-on case study, participants will use their Matplotlib skills to analyze e-commerce data. This project includes installation steps, data preprocessing and extensive exploration of various visualizations. From line charts and histograms to bar graphs and scatter plots, participants will gain hands-on experience in data analysis and visualization. The purpose of the case study is to provide a real application of Matplotlib for effective data interpretation and decision making.
What you will learn in the Matplotlib Mastery: Python Data Visualization Unleashed course
-
An introduction to Matplotlib and basic chart types such as line, bar, scatter and pie charts. Annotation, customization and styling for effective data iterations
-
Advanced features such as working with text, customizing layouts and creating complex layouts.
-
Deep understanding of legends, layout customization and working with GridSpec.
-
Constrained layout, padding, and advanced use of GridSpec for precise shape layout.
-
Advanced topics such as Path Tutorial, Path Effect Guide and Color Tutorials for complex data visualization.
-
Transform shapes, customize colors, and create custom color maps.
-
Annotation techniques, text features, and layout design for complex visualizations.
-
Installing the necessary software and inline functions.
-
Practical application through drawing line graphs, histograms, bar graphs, scatter graphs, and pie charts.
-
In-depth analysis using box plots and real-world scenario-based visualizations.
-
This course enables students to gain a comprehensive understanding of Matplotlib and enables them to create impactful data visualizations and analyze complex data.
This course is suitable for people who
- Data scientists and analysts: gain advanced visualization techniques to deliver effective insights.
- Python Developers: Expand your skill set with a focus on Matplotlib for data visualization.
- Students and Researchers: Learn practical applications for data visualization in research and academia.
- Business Professionals: Understanding how to interpret and visually communicate data trends.
- Whether you are a beginner or experienced in Python, this course provides valuable insights into using Matplotlib in a variety of areas.
Matplotlib Mastery Course Details: Python Data Visualization Unleashed
- Publisher: Udemy
- teacher: EDUCBA Bridging the Gap
- Training level: beginner to advanced
- Training duration: 14 hours and 45 minutes
- Number of courses: 107
Course topics on 11/2023
Matplotlib Mastery: Python Data Visualization Unleashed course prerequisites
- There are a few things that you should be supposed to know before you can start learning about MatPlotLib. The very first thing is, you should know fundamental python. As MatPlotLib is a python library, you are supposed to know how python works so that you can bring this library in use while developing a program in python. If you are already working as a python developer, you might find it very easy to learn python while if you are a beginner, you will need to give some time practicing it so that you can understand everything perfectly.
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 1080p
download link
File(s) password: www.downloadly.ir
Size
6.6 GB
Be the first to comment