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 itโs 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 youโll 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.
Join an engaging hands-on learning environment, where youโll learn:
This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.
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
No prior programming experience is required.
COURSE CONTENT: Design Patterns in Java Training Course Course Contents – DAY 1 Course Introduction โข Administration and Course Materials โข Course Structure and Agenda โข Delegate and Trainer…
COURSE CONTENT: DAY 1: GETTING STARTED WITH PYTHON PROGRAMMING 1- Python Variables and Data types โข Python intro with a quick overview on the syntax, IDEs โข Recall how…