Python Matplotlib Programming With Coding Exercises 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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Python Matplotlib Programming With Coding Exercises

Python Matplotlib Programming With Coding Exercises

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

Master Data Visualiza

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