DLSEI 3.0 Cohort 3 registration has been closed.

FIFA20 Data Exploration using Python

Included with DLSEI 3.0

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

4.56★

Rating out of 5

Guided project Level

Recommended experience

2.00 Hours

Learn at your own pace

Data Science

Domain

About this guided project

By the end of this project, you will learn to use data Exploration techniques in order to uncover some initial patterns, insights and interesting points in your dataset. We are going to use a dataset consisting 5 CSV files, consisting of the data related to players in FIFA video game. We will clean and prepare it by dropping useless columns, calculating new features for our dataset and filling up the null values properly. and then we will start our exploration and we'll do some visualizations. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What skills will you gain?

Plotly

Data Visualization

Interactive Data Visualization

Data Visualization Software

Data Analysis

Exploratory Data Analysis

Statistical Analysis

Data Science