Data Science for Sports – Sports Analytics and Visualization

Data Science for Sports – Sports Analytics and Visualization, available at $34.99, has an average rating of 3.35, with 9 lectures, based on 92 reviews, and has 7600 subscribers.

You will learn about Learn how to perform analysis of different kinds of sports data using the 2018 NFL season data. Learn how to visualize sports statistics. Learn how to create a sports field and visualize players on top of it. Learn how to standardize sports data. This course is ideal for individuals who are Any developer looking to learn how to analyze and visualize sports data using Python. It is particularly useful for Any developer looking to learn how to analyze and visualize sports data using Python.

Enroll now: Data Science for Sports – Sports Analytics and Visualization

Summary

Title: Data Science for Sports – Sports Analytics and Visualization

Price: $34.99

Average Rating: 3.35

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learn how to perform analysis of different kinds of sports data using the 2018 NFL season data.
Learn how to visualize sports statistics.
Learn how to create a sports field and visualize players on top of it.
Learn how to standardize sports data.

Who Should Attend

Any developer looking to learn how to analyze and visualize sports data using Python.

Target Audiences

Any developer looking to learn how to analyze and visualize sports data using Python.

Are you a fan of sport but also interested in the numbers?Deep dive into the world of sports analytics with this course on ‘Data Science for Sports – Sports Analytics and Visualization’,created by The Click Reader.

This course provides insights and knowledge into how you can perform analysis on sports data and then, visualize it using Python. We will start the course by looking at the games in the 2018 NFL season. Then, we will move on to look at the player statistics in order to understand the players in the season. We will also look at the plays of the NFL season and finally, end the course by building a data visualization project where we will be visualizing the American Football Field and players on top of it.

After completing this course, you will be able to play around with the various available datasets and visualize them in different ways. This course contains hands-on exercises at the end of each lecture and the knowledge you gain through this course can be extended to any other domain of sports.

Why you should take this course?

Updated 2022 course content: All our course content is updated as per the latest technologies and tools available in the market
Practical hands-on knowledge: This course is oriented to providing a step-by-step implementation guide rather than just sticking to the theory.
Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to the course!

Lecture 2: About the datasets

Chapter 2: Working on the datasets

Lecture 1: Analyzing the NFL games

Lecture 2: Knowing the NFL players

Lecture 3: Understanding the NFL plays

Chapter 3: Visualizing the sports field

Lecture 1: Visualizing the American Football Field

Lecture 2: Adding Players onto the Field

Chapter 4: End of Course

Lecture 1: End of Course

Lecture 2: Bonus Lecture

Instructors

The Click Reader
Teaching Data Science and Machine Learning

Rating Distribution

1 stars: 7 votes
2 stars: 3 votes
3 stars: 18 votes
4 stars: 31 votes
5 stars: 33 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu