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Exploratory vs Confirmatory Data Analysis Using Python
Coursera
Guided Project
Unknown

Exploratory vs Confirmatory Data Analysis Using Python

Coursera

Learn to apply Exploratory and Confirmatory Data Analysis methods, build visualizations, and explore data using Python in Jupyter Notebook.

Unknown1 weeksEnglish

About this Course

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!

What You'll Learn

  • Apply Exploratory Data Analysis
  • Build various data visualizations and use exploration techniques
  • Apply Confirmatory Data Analysis

Prerequisites

  • Intermediate familiarity with Python and Jupyter Notebook
  • Ability to follow step-by-step instructions in English

Instructors

A

Ahmad Varasteh

AI Course Author

Topics

Data Analysis
Data Science
Geographic Information Systems
Statistical Analysis
Pandas (Python Package)
Data Visualization Software
Tree Maps
Jupyter
Plotly
Interactive Data Visualization

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
نظم المعلومات الجغرافية
التحليل الإحصائي
بانداز
برامج التصور البياني
خرائط الشجر
جوبتر
Plotly
Interactive Data Visualization

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