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Analyzing the sinking of the Titanic – Data Analysis with Python (Course V)

Analyzing the sinking of the Titanic – Data Analysis with Python (Course V)

Analyzing the sinking of the Titanic – Data Analysis with Python (Course V)

Welcome to this course on Data Analysis with Python.

In this course, you will be performing hands-on Exploratory Data Analysis (EDA) on the dataset of the infamous Kaggle competition, ‘Titanic: Machine Learning from Disaster’.

During this course, you will learn how to perform general as well as problem-specific analyses to find insights from the given dataset. This will be a knowledgeable course for you and will involve the use of Python libraries such as Pandas, Matplotlib and Seaborn.

Objectives of the course

The learning objectives of the course are set out as follows:

  • Learn how to download a dataset from Kaggle
  • Learn how to read in a CSV file format dataset in Python
  • Learn how to perform Exploratory Data Analysis (EDA)
  • Learn how to visualize data insights

You can expect to have all of these objectives met by the time you reach the end of this course.

Pre-requisites for the course

If this is your first time working on Python, it may be hard for you to effectively grasp all the concepts. Therefore, the following pre-requisites are required for you to get the best out of the course:

  • Solid understanding of the Python programming language
  • Familiarity with Pandas, Matplotlib and Seaborn
  • Interest in performing data analysis with Python

If you do not satisfy the above pre-requisites, don’t worry! You can always come back later to this course once you are ready.

Ready to add fundamental data analysis skills to your portfolio? See you in the course!

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Kharpann was founded by a team of mathematicians, programmers and machine learning/artificial engineers with a vision to help businesses find their data science team faster and to help them grow with their own data.
Price Free
Instructor Kharpann
Duration 1 week
Lectures 8
Enrolled 10830 students
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