New - Learn core Python data science skills.
This course introduces data analysts, business analysts, and anyone interested in Data Science to the Python programming language as it’s often used in Data Science in web notebooks. The goal is to provide you with a baseline understanding of core concepts that will serve as a platform of knowledge to follow-up with more in-depth training and real-world practice.
The course begins with a quick overview of Python with demonstrations of both script-based and web notebook-based Python and then you’ll dive into the essentials of Python necessary for a data scientist. The 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.
An Overview of Python
Getting Started
Flow Control
Sequences, Arrays, Dictionaries, and Sets
Working with files
Functions
Essential Demos
The standard library
Dates and times
Python and Data Science
Join an engaging hands-on learning environment, where you’ll learn:
This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.
No prior programming experience is required.
COURSE CONTENT: Not available. Please contact.
COURSE CONTENT: Day 1 Python refresher Built-in data typesLists and tuplesDictionaries and setsProgram structureFiles and console I/OIf statementfor and while loops Data Structures and Algorithms Linked listStackQueueTreesGraphsSorting algorithmsDay 2…
COURSE CONTENT: Introducing Red Hat Ansible Automation Platform Describe the fundamental concepts of Ansible and how it is used, and install development tools from Red Hat Ansible Automation Platform…
We use cookies to improve your experience, including essential cookies required for the website to function. By continuing, you agree to our use of cookies. Learn more.