The aim of this course is to provide learners with a comprehensive understanding of Data Science principles and techniques using the Python programming language.
In this course, you will gain practical skills in loading, cleaning, analyzing, and visualizing data. You will have the opportunity to work with Python's robust libraries, including NumPy, Pandas, Matplotlib, and Seaborn, to enhance your hands-on experience.

This will help you to:
• Perform data analysis using NumPy
• Perform data analysis using Pandas
• Visualize data using Matplotlib
• Define Data Visualization using Seaborn

Prerequisites:
Basic knowledge of any programming language, basic math Skills, basic understanding of SQL

Must have completed the following o9 Academy Training:
• Data Science Essentials
• Machine Learning and ArtificiaI Intelligence: Essentials
• Statistics Essentials
• Python Fundamentals
• Mastering Python Programming

Target Audience:
Application Developers, Programmers, Data Scientists, Big Data professionals

Assessment:
This course is divided into modules and upon completing each module, you will have the opportunity to demonstrate your understanding and proficiency through an assessment. This assessment serves as a culmination of your learning journey and allows you to apply the knowledge and skills you have acquired throughout the course. Please note, that this is a multiple-choice question assessment with two attempts to pass within a stipulated timeline.