- Level Intermediate
- Duration 2 hours
- Course by Coursera Project Network
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Offered by
About
This Guided Project, Exploratory and Confirmatory Data Analysis using python, is for those who want to learn about different methods of data analysis. In this 2-hour-long project-based course, you will understand and apply Exploratory Data Analysis, build different Data visualizations, apply different exploration techniques based on the data at hand and define and understand the concept of Confirmatory Data Analysis. This project is unique because you will learn how and where to start your data exploration. You will also learn how to implement different data visualizations using python and when to use them. To be successful in this project, you will need to be experienced in python programming language and working with jupyter notebook environment. Let's get started!Modules
Your Learning Journey
1
Assignment
- Assess Your Knowledge
1
Labs
- Exploratory vs Confirmatory data analysis using Python
2
Readings
- Project Overview
- Key Takeaways
Auto Summary
Dive into the world of data analysis with "Exploratory vs Confirmatory Data Analysis using Python," a 2-hour guided project on Coursera. Designed for intermediate learners skilled in Python and Jupyter Notebook, this course covers essential techniques in Exploratory Data Analysis (EDA) and Confirmatory Data Analysis (CDA). You'll learn to create insightful data visualizations and apply various exploration methods. Enhance your data analysis skills and start your journey in IT & Computer Science today, with flexible subscription options available, including a free tier.

Instructor
Ahmad Varasteh