When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
Python for Data Science Primer is a two-day Python training course that introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming...Read More
Python for Data Science Primer is a two-day Python training course that introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it’s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. The course begins with quick overview of Python, with demonstrations of both script-based and web notebook-based Python, and then dives into the essentials of Python necessary to a data scientist. The tail end of the course explores a quick integration of these skills with key Data Science libraries including NumPy, Pandas and Matplotlib. This class is hands-on and includes light programming labs that introduce students to basic Python syntax and concepts applicable to using Python to work with data.
Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level):
This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course.
Students should have skills at least equivalent to the following course(s) or should have attended as a pre-requisite:
An Overview of Python
Sequences, Arrays, Dictionaries and Sets
Working with files
The standard library
Dates and times
Python and Data Science