Who Should Watch:
Whether you’re a training or learning development coordinator who wants to learn more about our training options and approach, a member of a technical team considering group training, or an individual looking for engaging and effective Pandas training, this webinar will help you quickly evaluate how the Pandas Mastery Workshop can meet your needs.
Why Focus on Pandas:
Python has been identified as the most popular coding language for five years in a row (2016). One reason for its popularity, especially among data analysts, data scientists, engineers, and scientists across diverse industries, is its extensive library of powerful tools for data manipulation, analysis, and modeling. For anyone working with tabular data (perhaps currently using a tool like Excel, R, or SAS), Pandas is the go-to tool in Python that not only makes the bulk of your work easier and more intuitive, but also provides seamless access to more specialized packages like statsmodels (statistics), scikit-learn (machine learning), and matplotlib (data visualization). Anyone looking for an entry point into the general scientific and analytic Python ecosystem should start with Pandas!
You Will Learn:
Enthought’s Pandas Mastery Workshop is designed to accelerate the development of skill and confidence with Python’s Pandas data analysis package — in just three days, you’ll look like an old pro! This course was created ground up by our training experts based on insights from the science of human learning, as well as what we’ve learned from over a decade of extensive practical experience of teaching thousands of scientists, engineers, and analysts to use Python effectively in their everyday work.
In this webinar, we give you the key information and insight you need to evaluate whether the Pandas Mastery Workshop is the right solution to advance your data analysis skills in Python, including:
- Who will benefit most from the course
- A guided tour through the course topics
- What skills you’ll take away from the course, how the instructional design supports that
- What the experience is like, and why it is different from other training alternatives (with a sneak peek at actual course materials)
- What previous workshop attendees say about the course
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