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What you'll learn
Requirements

Internet Access

Computer basics

This course includes:

12 hours demand video

Full lifetime access

Certificate of completion

3 downloadable resources

Access on mobile and TV

Description

Unlock the power of data with our comprehensive online course, "Data Analysis with Python." Designed for both beginners and experienced professionals, this course offers a thorough introduction to the essential tools and techniques for analyzing data using Python. You'll start with the basics of Python programming, ensuring a solid foundation before diving into the intricacies of data manipulation, visualization, and analysis.


Throughout the course, you'll learn to harness the capabilities of popular Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn. These tools will enable you to clean, organize, and visualize data effectively. Our hands-on approach ensures that you not only grasp theoretical concepts but also apply them to real-world datasets, enhancing your practical skills.


By the end of this course, you'll be proficient in performing exploratory data analysis, identifying trends, and making data-driven decisions. You'll also learn how to communicate your findings through compelling visualizations and reports. Whether you're looking to advance your career, switch to a data-focused role, or simply enhance your analytical skills, "Data Analysis with Python" provides the knowledge and experience needed to succeed in the data-driven world. Join us and transform your ability to interpret and utilize data effectively.

Show Syllabus

The course begins with an introduction to Python programming basics, covering variables, data types, and control structures. As you progress, you'll delve into data handling using Pandas, focusing on data frames, series, and essential data manipulation techniques. The curriculum then explores numerical operations with NumPy, providing insights into arrays, mathematical functions, and linear algebra applications. Moving forward, you'll learn data visualization with Matplotlib, creating various plots and graphs. This is complemented by advanced visualization techniques using Seaborn, where you'll master the creation of informative and aesthetically pleasing statistical graphics. Finally, the course integrates real-world projects to solidify your skills.

A good clear course!

A good and clear course! The reason I don't rate it five stars is because i wish there were even more neat tips and tricks / shortcuts that a more experienced user could learn from. In this case it would also be nice to see... some "edge cases" of the use of this app, and how to maneuver this in an elgant way. But all in all a good and consise Figma course!

Thomas Rankin