Transitioning from Matlab to Python is a valuable skill in today's data science landscape. Python has gained widespread popularity among companies worldwide for its versatility in extracting insights from data and gaining a competitive advantage. This course is specifically designed to assist Matlab users in seamlessly transitioning to Python for data analysis and visualization. Throughout this course, you will gain a solid understanding of Python syntax and its application in data science. You will learn how to effectively utilize NumPy arrays to store and manipulate data, as well as harness the power of the matplotlib library to uncover trends, correlations, and patterns within real datasets. Examples include analyzing bicycle traffic in Seattle and tracking avocado prices across the United States. Additionally, this course will equip you with the necessary skills to control the flow of your Python code. You will explore the usage of conditional statements such as if, else, and elif, along with comparison operators, to determine the execution of specific code lines. By the conclusion of this course, you will possess a strong foundation in Python, including its popular dictionaries and libraries. Through hands-on experience, you will gain the confidence to apply your newfound skills to your professional endeavors, personal projects, or further educational pursuits.