Python is an easy-to-learn, human-readable programming language that is extremely versatile with a rich, robust, and active supporting community. For many data scientists, Python is the programming language of choice. Its fast learning curve, ease of use, and support for full object-oriented programming make it a great first programming language. Python has hundreds of libraries and frameworks to make coding easier, and many are specific to data science needs.

Python is a great choice for complex data cleaning, data preparation, and data collection tasks, as well as performing actual data analysis, programmatically creating compelling visualizations, and performing machine learning tasks. In fact, some estimates say nearly 70% of data scientists and machine learning developers use python to capture, clean, and prepare data models, perform complex data analysis tasks, build powerful AI and machine learning implementations, and easily deploy them as apps, to the web, or as web services. If you’re looking to extend your analytical skills, need to work with more diverse and complex datasets, or are building rich only data-driven applications, Python is a great choice.

You can see more about data analysis, how it can help your career and your organization, and how to start your data science journey on our Data Analysis and Visualization for Career Growth page.

The graphic below shows you the classes we offer, the learning progression, and corresponding certification exams. Click the links in the graphic to go to the course page for more detail.