Data Analysis on Titanic dataset using Python

Master the data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more

4.50 (4 reviews)
Udemy
platform
English
language
Other
category
instructor
Data Analysis on Titanic dataset using Python
282
students
5 hours
content
Jul 2023
last update
$19.99
regular price

What you will learn

Jupyter Notebooks IDE / Anaconda Distribution

Python, we will be using Python3 in this course

Data Analysis Libraries in Python such as NumPy and Pandas

Data Visualization Libraries in Python such as Matplotlib and Seaborn

A resume ready project

You will get to learn through the practical implementation

Why take this course?

Learn By Making Project which could be added in the resume

Learn one of the most in demand programming languages in the world and master the most important libraries when it comes to analyzing and visualizing data.

This course can be split into 3 key areas:

  • The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this course

  • The second area focuses on analysing and manipulating data. You will learn how to master both NumPy and Pandas

  • For the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib, Seaborn and Plotly Express

You will be using Google colab, a cloud based IDE for writing the codes.

The course is packed with lectures, code-along videos, coding exercises and quizzes.

On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.

There should be more than enough to keep you engaged and learning! As an addition you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.

The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries.

This course is suitable for students of all levels and it doesn’t matter what operating system you use.

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5447262
udemy ID
7/16/2023
course created date
8/20/2023
course indexed date
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