Data Analysis & Exploratory Data Analysis Using Python

Why take this course?
📚 Course Title: Data Analysis & Exploratory Data Analysis | Build EDA App
Recent Updates 🚀
- January 2023: Dive into the world of EDA with ease using the latest libraries such as Klib and Sweetviz, which allow you to perform comprehensive EDA tasks with just a few lines of code.
- January 2022: Master conditional scatter plots for deeper insights into your data's relationships.
- November 2021: Engage with an exhaustive exercise that covers all aspects of Exploratory Data Analysis (EDA).
Testimonials about the Course 💬
- "I found this course interesting and useful. Mr. Govind has tried to cover all important concepts in an effective manner. This course can be considered as an entry-level course for all machine learning enthusiasts. Thank you for sharing your knowledge with us." - Dr. Raj Gaurav M.
- "He is very clear. It's a perfect course for people doing ML based on data analysis." - Dasika Sri Bhuvana V.
- "This course gives you a good advice about how to understand your data, before start using it. Avoids that you create a bad model, just because the data wasn't cleaned." - Ricardo V
Welcome to the Data Analysis & Exploratory Data Analysis Program! 📊✨
This program is meticulously designed to take you through the intricacies of both basic and advanced data analysis techniques. You will learn various analysis approaches, programming skills, assignments, and real-world case studies that will transform you into a proficient data analyst. Here's what you can expect to cover:
- Understanding Relationships Between Variables
- Identifying Critical Factors in Data
- Descriptive Statistics and Distribution Shapes
- Time Series Forecasting
- Regression and Classification Techniques
- Full Suite of EDA Techniques (Outlier Handling, Data Transformation, Imbalanced Dataset Management)
- Exploratory Data Analysis Libraries like Klib and Sweetviz
- Building a Web Application for EDA Using Streamlit
Programming Language Used: Python 🐍
Python's versatility, readability, and extensive libraries make it an excellent choice for data analysis and machine learning. This course will guide you through all the techniques using python. For those who are new to this powerful language, we have dedicated content to help you get up to speed with the basics of Python.
Course Delivery 🎓
This comprehensive course is designed by an AI and tech veteran, ensuring that you receive the most cutting-edge and practical knowledge straight from the source. Get ready to immerse yourself in a learning experience that is both informative and engaging!
Join us on this exciting journey through data analysis and exploratory data analysis, and build your very own EDA application using Streamlit. With hands-on exercises and real-world case studies, you'll be well-equipped to analyze datasets with confidence and precision. 🚀📚✨
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