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Python Matplotlib Programming With Coding Exercises - mitsumi - 14.11.2024

Python Matplotlib Programming With Coding Exercises

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Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 144.88 MB | Duration: 1h 12m

Master Data Visualization in Python with Hands-On Matplotlib Challenges


What you'll learn
How to create and customize various types of plots using Matplotlib.
Techniques for enhancing the clarity and aesthetic appeal of your data visualizations.
The ability to work with subplots and complex visualizations in Matplotlib.
Practical experience in applying Matplotlib to real-world data visualization projects.
Requirements
Basic knowledge of Python programming.
Description
Welcome to Python Matplotlib Programming with Coding Exercises, your comprehensive guide to mastering data visualization using the powerful Matplotlib library. Matplotlib is a cornerstone of Python's data visualization tools, allowing you to create stunning and informative graphs, plots, and charts that make data analysis more accessible and understandable.In today's data-driven world, the ability to effectively visualize data is essential for professionals across various fields. Whether you're a data scientist, analyst, or a Python enthusiast, learning how to use Matplotlib to its fullest potential will significantly enhance your data storytelling skills. This course is designed to address the growing need for clear, impactful data visualizations that drive decision-making and insights.Throughout this course, you will delve into the essential and advanced features of Matplotlib, gaining hands-on experience with coding exercises that reinforce your learning. Here's what you'll cover:Introduction to Matplotlib and its importance in data visualization.Understanding the anatomy of Matplotlib plots and customizing them for clarity and aesthetic appeal.Creating various types of plots including line, bar, scatter, histogram, and pie charts.Working with subplots to create complex, multi-layered visualizations.Adding labels, titles, legends, and annotations to enhance the interpretability of your plots.Styling plots with colors, markers, and line styles to match your data's narrative.Saving and exporting your visualizations for presentations and reports.Each coding exercise is crafted to help you build a solid foundation in Matplotlib, ensuring that you can confidently visualize data in your projects and presentations.Instructor Introduction: Your instructor, Faisal Zamir, has over 7 years of experience in teaching Python and data visualization. As a seasoned Python developer and educator, Faisal has a deep understanding of how to convey complex programming concepts in an easy-to-understand manner, making this course perfect for learners at all levels.Certificate at the End of Course: Upon completing the course, you will receive a certificate of completion, showcasing your proficiency in Matplotlib and your ability to create professional-grade data visualizations.
Overview
Section 1: Introduction to Matplotlib
Lecture 1 Introduction to Matplotlib
Lecture 2 Lesson 01
Lecture 3 Coding Exercises
Section 2: Basic Plotting Techniques
Lecture 4 Basic Plotting Techniques
Lecture 5 Lesson 02
Lecture 6 Coding Exercises
Section 3: Working with Scatter Plots and Histograms
Lecture 7 Working with Scatter Plots and Histograms
Lecture 8 Lesson 03
Lecture 9 Coding Exercises
Section 4: Plot Customization and Aesthetics
Lecture 10 Plot Customization and Aesthetics
Lecture 11 Lesson 04
Lecture 12 Coding Exercises
Section 5: Advanced Plot Types
Lecture 13 Advanced Plot Types
Lecture 14 Lesson 05
Lecture 15 Coding Exercises
Section 6: Working with Time Series Data
Lecture 16 Working with Time Series Data
Lecture 17 Lesson 06
Lecture 18 Coding Exercises
Section 7: Advanced Customization and Styles
Lecture 19 Advanced Customization and Styles
Lecture 20 Lesson 07
Lecture 21 Coding Exercises
Section 8: Data Visualization with Seaborn Integration
Lecture 22 Data Visualization with Seaborn Integration
Lecture 23 Lesson 08
Lecture 24 Coding Exercises
Section 9: Advanced Plotting Techniques
Lecture 25 Advanced Plotting Techniques
Lecture 26 Lesson 09
Lecture 27 Coding Exercises
Section 10: Performance Optimization and Best Practices
Lecture 28 Performance Optimization and Best Practices
Lecture 29 Lesson 10
Lecture 30 Coding Exercises
Data scientists and analysts looking to improve their data visualization skills.,Python developers interested in learning how to effectively visualize data.,Anyone who wants to enhance their ability to communicate insights through data visualizations.
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