Overview
In this 6-hour course, you will master the art and science of data visualization using Python. Leveraging Matplotlib, Seaborn, and Bokeh libraries, this in-depth course will teach you how to create comprehensive and powerful visualizations for exploratory data analysis and presentation.
What I will be able to do after this course
- Understand the fundamentals of data visualization concepts and their importance.
- Create simple to advanced plots using Python libraries like Matplotlib, Seaborn, and Bokeh.
- Develop skills to analyze data using Exploratory Data Analysis (EDA) techniques.
- Gain expertise in creating a variety of visualizations such as heat maps, scatterplots, and bar charts.
- Enhance your ability to communicate insights effectively by visually representing data.
Course Instructor(s)
Manas Dasgupta is a seasoned data scientist with extensive expertise in Python, data analytics, and machine learning. With years of teaching and professional experience, he brings real-world insights to his courses. Manas strives to make complex topics accessible, emphasizing an approachable and engaging teaching style.
Who is it for?
This course is ideal for Python developers, data scientists, data analysts, and business professionals seeking to advance their data visualization competency. Learners should have a basic grasp of Python; although beginners will still benefit greatly. Perfect for anyone in a role requiring data presentation in visual formats.
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