Basics of Plotly for Data Analysis & Data Science in Python

📊 Master the Art of Data Visualization with Plotly!

Course Title: Basics of Plotly for Data Analysis & Data Science in Python

Instructor: Shan Singh

Course Description:

Dive into the world of data visualization and interactive dashboards with our comprehensive course on Basics of Plotly for Data Analysis & Data Science in Python. This course is designed to take your Python skills to new heights, especially when it comes to data visualization using Plotly and its powerful Dash library.

Why Choose This Course?

• 📊 Interactive Visuals: Learn to create captivating interactive visuals in Python that bring your data to life.
• Real-World Use-Cases: Apply your knowledge through practical examples and real-world scenarios.
• Fully Customizable Plots: Understand how to tailor your plots to best represent your data's story.
• Interactive Dashboards: Generate interactive dashboards with Plotly Dash, without the need for HTML, CSS, or JavaScript.
• Essential Chart Types: Get hands-on experience with a variety of chart types including Bar charts, Line charts, Pie charts, Scatter plots, Histograms, Box plots, Violin plots, and Distribution (KDE) Plots.

Course Highlights:

• Python & Pandas Skills: We'll start with the basics of Python and Pandas to ensure you're comfortable handling and generating data.
• Data Visualization Fundamentals: You'll learn the principles behind selecting the right type of plot for your data and insights.
• Plotly Mastery: From basic plots to advanced customizations, we'll guide you through mastering Plotly.
• Dash Dashboard Creation: Discover how simple and quick it is to create interactive dashboards using Plotly Dash.
• Bleeding Edge Technology: Stay ahead of the curve by learning with the latest data visualization tools and techniques in Python.

What You Will Learn:

1. Python & Pandas Basics: Comfortably work with data in Python and Pandas.
2. Plotly Fundamentals: Create various types of plots, including but not limited to Bar charts, Line charts, Pie charts, Scatter plots, Histograms, Box plots, Violin plots, and Distribution (KDE) Plots.
3. Dash Dashboard Development: Build your own interactive dashboards with Plotly Dash without any prior knowledge of web development technologies.
4. Data Visualization Strategy: Learn when and how to use different types of plots effectively.
5. Styling in Plotly: Customize your plots for maximum impact and clarity.

By completing this course, you'll not only gain a valuable new skill but also demonstrate to colleagues and potential employers that you are proficient with the latest data visualization tools available in Python. Whether you're a Data Analyst or a Data Scientist, Plotly Dash will elevate your ability to present findings and create UIs for machine learning models.

Enroll now and embark on your journey to becoming a data visualization expert with Plotly! 🚀📊