Next Level Python for Data Science and /or Machine Learning covers the essentials of using Python as a tool for data scientists to perform exploratory data analysis, complex visualizations, and large-scale distributed processing on “Big Data”. In this course we cover essential mathematical and statistics libraries such as NumPy, Pandas, SciPy, SciKit-Learn, TensorFlow, as well as visualization tools like matplotlib, PIL, and Seaborn. This course is ‘intermediate level’ as it assumes that attendees have solid data analytics and data science background and have basic Python knowledge. Topics are introductory in nature, but are covered in-depth, geared for experienced students
* Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Learning Objectives
This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn how to:
How to work with Python in a Data Science Context
How to use NumPy, Pandas, and MatPlotLib
How to create and process images with PIL
How to visualize with Seaborn
Key features of SciPy and Scikit Learn
$2,595
Length: 5.0 days (40 hours)
Level:
Course Schedule:
6:00 PM ET
6:00 PM ET