Course Description

Data Analysis with Python is a course that teaches participants the skills and techniques necessary to use Python to analyze and manipulate large datasets. Python is a powerful programming language that has become increasingly popular in the field of data analysis due to its ease of use and the large number of libraries available for performing various data analysis tasks. The course is designed for individuals who have some programming experience, but who may not have experience specifically with Python. It begins with an overview of the Python programming language and its basic data types, and then moves on to cover the key libraries used in data analysis, such as NumPy, Pandas, Matplotlib, and Seaborn. Participants will learn how to use these libraries to read in data, clean and manipulate it, and then create visualizations that help to better understand the data. The course also covers more advanced topics such as data aggregation, statistical analysis, and machine learning. Participants will learn how to use Python to create predictive models and perform clustering and classification tasks. Throughout the course, participants will work on real-world datasets, which will help them to understand how to apply the techniques they are learning in practice. By the end of the course, participants will have a solid understanding of how to use Python to analyze and manipulate data, as well as how to create visualizations that help to better understand the data. They will also have experience with advanced data analysis techniques such as statistical analysis and machine learning, which will enable them to tackle more complex data analysis tasks. The skills and knowledge gained from this course will be valuable for anyone who works with data, whether they are a data analyst, data scientist, or a business analyst. The ability to use Python to analyze and manipulate data is a highly sought-after skill in many industries, including finance, healthcare, and technology. Overall, This course is an excellent course for anyone who wants to learn how to use Python for data analysis. It provides a solid foundation in the basics of the Python programming language, as well as the key libraries used in data analysis. With its focus on practical applications and real-world datasets, participants will leave the course with the skills and confidence necessary to tackle data analysis tasks in their own work. Author: (Jovian)