What you'll Learn
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How to prepare and clean your dataset using PandasAI for smart insights.
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How to visualize distributions and trends using Matplotlib & Seaborn.
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How to build interactive, web-ready dashboards using Plotly.
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Best practices for spotting patterns, relationships, and outliers in your data.
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A step-by-step workflow that you can apply to your own datasets.
Who Should Enroll?
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Data enthusiasts, analysts, and aspiring data scientists.
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Anyone who wants a beginner-to-intermediate EDA workflow in Python.
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Learners interested in combining AI-assisted exploration tools with classic visualization libraries.
Course curriculum
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1
EDA Essentials
- Getting Started with EDA
- Univariate Bivariate Analysis
- Multivariate Analysis Correlation
- Exploring Data with Sweetviz
- EDA with Pandas.ai
- EDA Roadmap Recap Next Steps
About Instructor
Data Science Lead, Zscaler

FAQ
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What is AutoGen?
AutoGen is a powerful framework that allows you to build, configure, and manage AI agents. It helps in creating intelligent, autonomous systems that can solve complex tasks using multi-agent workflows.
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What tools or software do I need for this course?
You will need Python installed on your system, along with a virtual environment setup. The course will guide you through the process of installing AutoGen and setting up the necessary tools.
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What is the hands-on project in this course?
The course includes a final project where you'll build an AutoGen agent team that can solve Data Structure and Algorithm (DSA) problems, helping you apply everything you’ve learned.
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Does this course include a certificate of completion?
Yes, you will receive a certificate of completion upon successfully finishing the course and all associated assessments.
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Will I be able to build my own agents by the end of this course?
Yes, by the end of the course, you will have built multiple agents, including a project where you create an agent team to solve DSA problems.