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Free Download Python Data Visualization: Matplotlib Bootcamp A-Z [2025] Published: 2/2025 Created by: Dr. Reza Shahin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 93 Lectures ( 7h 2m ) | Size: 3.8 GB Master Matplotlib to plot figures for data analytics & business intelligence + 50 exercises[2025] (Bootcamp) What you'll learn Create clear, customized line plots with different styles. Design scatter plots with size, color, and marker variations. Build bar charts, including stacked and grouped formats. Develop histograms with custom bins and density curves. Construct pie charts with exploded slices and rotation. Generate heatmaps for analyzing correlations. Implement box plots to display distributions. Create 3D plots, including scatter and line visualizations. Analyze time series data with moving averages. Enhance plot aesthetics with annotations and transparency. Requirements No Requirements are needed, we teach you EVERYTHING even basics of Python Description Data visualization is an essential skill in today's data-driven world. Whether you are a data scientist, engineer, researcher, or analyst, the ability to present data effectively can make a significant difference in your work. This comprehensive course will take you on a step-by-step journey through the fundamentals and advanced capabilities of Matplotlib, the most widely used Python library for plotting and visualization.With over 50 hands-on coding exercises, this course covers everything from basic line plots to advanced multi-dimensional visualizations, ensuring that you develop a strong practical understanding of how to create, customize, and enhance visual representations of data. You will learn to produce clear, professional, and insightful plots that can be used for presentations, reports, publications, and business analysis.What This Course Covers:* Python Fundamentals for Data VisualizationBefore diving into Matplotlib, we provide essential Python programming concepts to ensure all learners-beginners and experienced coders alike-can follow along with ease.* Mastering Line PlotsLearn how to create solid, dashed, and dotted line plots.Customize marker styles, colors, edge widths, and labels.Work with multiple line plots and adjust line thickness, transparency, and styling.* Advanced Scatter Plot TechniquesMaster scatter plots with various marker sizes, colors, and annotations.Explore randomized scatter plots and use color bars for added data insights.Learn how to handle large datasets efficiently and highlight important data points.* Bar Charts & Histograms for Data AnalysisDevelop vertical, horizontal, grouped, and stacked bar charts.Enhance bar charts with error bars, text annotations, and logarithmic scaling.Construct custom histograms, modify bin sizes, and overlay density plots for better data interpretation.* Pie Charts & Donut ChartsCreate professional pie charts with rotation, exploded slices, and multi-chart figures.Learn how to optimize pie chart readability for presentations and reports.* Advanced Plotting with Box Plots, Heatmaps, and 3D VisualizationsImplement box plots with custom notches and mean markers to analyze distributions.Generate heatmaps to visualize data correlations effectively.Explore 3D scatter plots and line plots to represent multi-dimensional data.* Time Series & Trend AnalysisLearn how to plot time series data, detect trends, peaks, and moving averages.Apply visualization techniques to business, finance, and scientific research data.Why This Course is Unique?* Practical and Hands-On Approach: With over 50+ interactive coding exercises, you will develop real-world visualization skills rather than just theoretical knowledge.* Beginner to Advanced Coverage: Whether you are a beginner looking to build a foundation or a professional aiming to master advanced Matplotlib techniques, this course caters to all levels.* Comprehensive Customization Techniques: Learn color mapping, annotation, transparency settings, font adjustments, and multi-chart layouts to make your plots publication-ready.* Who Can Benefit?Students seeking to build their programming and data visualization skills.Data analysts, engineers, and business professionals looking to enhance their reporting abilities.Researchers needing scientific-quality figures for journals and conference papers.Anyone who wants to transform raw data into meaningful visual insights.By the end of this course, you will confidently create, customize, and optimize visualizations, making your data more insightful, compelling, and easy to interpret. Who this course is for Students seeking to build their programming and data visualization skills. Data analysts, engineers, and business professionals looking to enhance their reporting abilities. Researchers needing scientific-quality figures for journals and conference papers. Anyone who wants to transform raw data into meaningful visual insights. 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Python Data Visualization with Matplotlib 2.x Duration: 4h 16m | Video: h264, 1280x720 | Audio: AAC, 44100 Hz, 2 Ch | 1.2 GB Genre: eLearning | Language: English | Project Files About This Video Create and customize appealing and live graphs, by adding style, colors, and fonts. Learn to represent data in the right way to engage readers Explore the power of Python packages to design excellent graphs A complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits. Create timestamp data visualizations on 2D and 3D graphs in the form of plots, histogram, bar charts, scatter plots, and more. In Detail Big data analytics are driving innovations in scientific research, digital marketing, policy-making and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customization.Matplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples. It begins by giving readers the basic know-how on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts.By the end of this video, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This video will help you prepare high quality figures for manuscripts and presentations. You will learn to create intuitive info-graphics and reshaping your message crisply understandable. Download From NitroFlare http://nitroflare.com/view/399242C6A454471/xidau123_PacktPythonDataVisualizationwithMatplotlib2.part1.rar http://nitroflare.com/view/4DD55252D925496/xidau123_PacktPythonDataVisualizationwithMatplotlib2.part2.rar Download From UploadGig https://uploadgig.com/file/download/74319D58e2582E4b/xidau123_PacktPythonDataVisualizationwithMatplotlib2.part1.rar https://uploadgig.com/file/download/5397684af525960b/xidau123_PacktPythonDataVisualizationwithMatplotlib2.part2.rar Download From Rapidgator https://rapidgator.net/file/53d638bc08769972716f2e2f5f00a355/xidau123_PacktPythonDataVisualizationwithMatplotlib2.part1.rar.html https://rapidgator.net/file/ede4d3ed3f98892e1cc07fdae7a9abc1/xidau123_PacktPythonDataVisualizationwithMatplotlib2.part2.rar.html