Fundamental Data Analysis and Visualization Tools in Python

Fundamental Data Analysis and Visualization Tools in Python, available at $22.99, has an average rating of 4.05, with 7 lectures, based on 878 reviews, and has 51376 subscribers.

You will learn about Create presentable data visualizations with Python Learn how to analyze data with Python Make interactive data visualizations using the Plotly module Learn how to create plots from your data using Matplotlib, and Seaborn Analyze data using the Pandas library to create and structure data Analyze data using the NumPy library to create and manipulate arrays Use the Jupyter Notebook Environment This course is ideal for individuals who are Anyone interested in learning more about Python, Data Science, or Data Visualizations or Developers interested in learning how to Analyze and Visualize data with Python or Anyone interested about the rapidly expanding world of Data Science! It is particularly useful for Anyone interested in learning more about Python, Data Science, or Data Visualizations or Developers interested in learning how to Analyze and Visualize data with Python or Anyone interested about the rapidly expanding world of Data Science!.

Enroll now: Fundamental Data Analysis and Visualization Tools in Python

Summary

Title: Fundamental Data Analysis and Visualization Tools in Python

Price: $22.99

Average Rating: 4.05

Number of Lectures: 7

Number of Published Lectures: 7

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Create presentable data visualizations with Python
Learn how to analyze data with Python
Make interactive data visualizations using the Plotly module
Learn how to create plots from your data using Matplotlib, and Seaborn
Analyze data using the Pandas library to create and structure data
Analyze data using the NumPy library to create and manipulate arrays
Use the Jupyter Notebook Environment

Who Should Attend

Anyone interested in learning more about Python, Data Science, or Data Visualizations
Developers interested in learning how to Analyze and Visualize data with Python
Anyone interested about the rapidly expanding world of Data Science!

Target Audiences

Anyone interested in learning more about Python, Data Science, or Data Visualizations
Developers interested in learning how to Analyze and Visualize data with Python
Anyone interested about the rapidly expanding world of Data Science!

This course will provide an introduction to the fundamental Python tools for effectively analyzing and visualizing data. You will have a strong foundation in the field of Data Science!

You will gain an understanding of how to utilize Python in conjunction with scientific computing and graphing libraries to analyze data, and make presentable data visualizations.

This course is designed for both beginners with some basic programming experience or experienced developers looking to explore the world of Data Science!

In this course you will:

– Learn how to create and analyze data arrays using the NumPy package

– Learn how to use the Pandas library to create and analyze data sets

– Learn how to use Matplotlib, and Seaborn to create professional, eye-catching data visualizations

– Learn how to use Plotly to create interactive charts and plots

You will also get lifetime access to all the video lectures, detailed code notebooks for every lecture, as well as the ability to reach out to me anytime for directed inquiries and discussions.

Course Curriculum

Chapter 1: Introduction and Setup

Lecture 1: Intro

Lecture 2: Setting Up

Chapter 2: Data Analysis – NumPy

Lecture 1: Basic Array Operations with NumPy

Chapter 3: Data Analysis – Pandas

Lecture 1: Structuring Data with Pandas

Chapter 4: Data Visualization – Matplotlib

Lecture 1: Basic Data Visualization with Matplotlib

Chapter 5: Data Visualization – Seaborn

Lecture 1: Making Attractive Plots with Seaborn

Chapter 6: Data Visualization – Plotly

Lecture 1: Making Interactive Plots with Plotly

Chapter 7: Exercises

Instructors

James Thomson
Programmer & Data Scientist

Rating Distribution

1 stars: 9 votes
2 stars: 20 votes
3 stars: 151 votes
4 stars: 328 votes
5 stars: 370 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!

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