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Learn Pandas for Data Science (Course IV)

Learn Pandas for Data Science (Course IV)

Learn Pandas for Data Science (Course IV)

Welcome to this course on Pandas for Data Science!

Pandas is a fast, powerful, flexible, high-level data analysis and manipulation tool, that is built on top of the Python programming language. It is one of the most widely used tools for data analysis and Machine Learning. In this course, you will learn how to use the Pandas library to perform data analysis, data manipulation and visualization using pandas.

Objectives of the course

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

  • Learn about the two fundamental data structures used in Pandas: Series and DataFrame.
  • Learn how to load data from different data sources.
  • Learn about various data manipulation and analysis operations in Pandas.
  • Learn how to create plots using Pandas.

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 necessary for you to get the best out of the course:

  • Solid understanding of the Python programming language
  • Familiar with Numpy and Matplotlib libraries.

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

Ready to add a fundamental skill to your Data Science 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 1019 students
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