Foundations of Data Analysis with Pandas and Python
About this Course
Embark on a comprehensive journey into data analysis with Python and Pandas. Learn to set up Anaconda and Jupyter Lab on macOS and Windows, navigate Jupyter Lab\'s interface, and execute code cells. - You\'ll start by mastering essential Python programming concepts, including data types, operators, variables, functions, and classes. - Then, dive into Pandas to create and manipulate Series and DataFrames. The course covers data importing from sources like CSV, Excel, and SQL databases, along with techniques for sorting, filtering, and data extraction. - Advanced analysis methods, including group-by operations, merging, joining datasets, and pivot tables, are also explored to equip you with the skills for efficient and sophisticated data analysis. Ideal for aspiring data analysts and scientists, no prior programming knowledge is necessary with the included Python crash course.Created by: Packt
Related Online Courses
Perhaps the most important thing students and professionals of all kinds can do to improve their effectiveness is embrace the following advice: become good with words.\\n\\nThis series of courses... more
This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master\'s and PhD... more
Is your show accessible? When we ask about accessibility to shows, most people think about access for wheel chairs: the sitting arrangements and where their WC is accessible. When we ask for more... more
In this specialization, you will learn how to derive, design, and implement Kalman-filter solutions to common engineering problems. You will be able to develop linear and nonlinear Kalman filters... more
Financial statements are a key source of information about the economic activities of a firm. This course is a primer on the construction and basic interpretation of financial statements that... more
Powered by
