Python® for Data Science for Beginners

This course is designed for individuals with little to no prior programming experience who are interested in learning Python for data science applications.Grasp Python Fundamentals: You’ll acquire the foundational knowledge of Python programming, including variables, data types, operators, control flow statements, functions, and libraries.Learn Data Structures: The course will introduce you to essential data structures in Python like lists, tuples, dictionaries, and sets, used to organize and manipulate data for analysis.Work with Libraries: A core focus will be on prominent Python libraries like NumPy for numerical computing, Pandas for data analysis and manipulation, and Matplotlib/Seaborn for data visualization. You’ll learn how to import, use functions, and explore core functionalities of these libraries.Perform Data Cleaning and Exploration: The course will guide you through processes like data cleaning (handling missing values, inconsistencies) and data exploration (calculating summary statistics, identifying patterns and trends) to prepare your data for further analysis.Introduction to Data Visualization: You’ll be introduced to creating basic data visualizations like histograms, scatter plots, and box plots using libraries like Matplotlib or Seaborn to represent data insights visually.