Python is popular with developers because it is open-source, part of a large and welcoming community, and the syntax is easy to follow and write. But why should data scientists use Python? Python programming is popular with data scientists for its data cleaning, analysis, visualization, manipulation, and machine learning capabilities. In addition, it includes libraries with collections of pre-built code, such as Scikit-learn, NumPy, Pandas, and Matplotlib, that help with common data analysis and Machine Learning (ML) tasks.
Practicing data scientists who are also experienced instructors teach our live, hands-on Data Science with Python training courses. These instructors bring their first-hand knowledge to the classroom and can work with you to customize any class or design a Data Science upskilling solution for your team. Training can be delivered online or at your site for your group of 3 or more.
Why Python is The Best Language to Use for Data Science
This article explains Python's advantages for data science and why Python gives data scientists the leverage they need to perform data analysis.
Free Webinar: Python Data Science on AWS
Watch this video to learn how to scale Python data science workloads on AWS and use AWS-native tools like the SageMaker cloud machine learning platform.
What our students are saying about our Data Science with Python training:
"From a minimal Python background, this course helped me understand Python, its capabilities when analyzing data, and the tools I need to model the data in the future."
-Robert H, NASA – Kennedy Space Center
"The course was incredibly well formatted to cover a mix of theory, examples, and practice lab work. No matter your learning style, the information was covered in one shape or form. The instructor was very knowledgeable and was able to keep up the energy of a programming class over 5 days, which is no small feat!"
-Emily F, NASA – Kennedy Space Center
"This is very informative class. You will have a systematic understanding of basic Python grammar, NumPy and panda libraries and how to use machine learning algorithms provided by the sci-kit learn library. The course material covers necessary and comprehensive aspects of the topic. Also, the instructor explains the materials clearly."
-Ning S, Bank of Montreal
Our live, instructor-led lectures are far more effective than pre-recorded classes
If your team is not 100% satisfied with your training, we do what's necessary to make it right
Whether you are at home or in the office, we make learning interactive and engaging
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