Data Analysis on Titanic dataset using Python

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

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Data Analysis on Titanic dataset using Python

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

Description

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.

Who Should Attend!

  • Anyone interested in learning Python
  • Python developers curious about the data visualization libraries
  • Python developers curious about the data analysis libraries
  • Python developers curious about the data analysis libraries

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Subscribers

281

Lectures

20

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