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.
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Great explanation and practice demonstrated concisely. Thank you Packt and Coursera
Showing: 10 of 10
A very practical introduction to the tools of Python/Pandas. Unlike more academic courses, this one is meant to pick up some data, and get going. It took away the "daunting" feeling of just getting started with Python by introducing helpful tools/interfaces like Anaconda and Jupyter Labs, as well as basic concepts. The Python primer is very succinct and helpful, but the star of the module is #3 when the pandas content is introduced. Very clear and very practical.
Good course. Excellent lecturer. If English is not your native language, this lecturer wonderfully adjusts the speed of delivering information and emphasizes important points with intonation. The information is also presented in a sequential manner and is easy to grasp
Great explanation and practice demonstrated concisely. Thank you Packt and Coursera
Clear, not superficial, useful to start for deeper understanding with good basis
Great course for learning about Pandas, very beginner-friendly.
Excellent instructor.
Great for Foundation.
Very Nice Course
Great course
the best