Python for Data Science

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Python is one of the most powerful and widely used programming languages available. Its easily understood syntax makes it a popular choice for new coders, while its library or open source modules for everything from web development to data analysis make it the tool of choice for many data scientists.  These courses will familiarize students with the use of Python for data science and the common libraries to perform typical data science operations.

 

 

 

The following courses are offered. All courses can be customized and delivered at your location.

  • Introduction to Python for Data Science (no prior experience required): July 28-Aug 6 
    4 online sessions   Details and Registration
  • Intermediate Python for Data Science
  • Advanced Python for Data Science

Introduction to Python for Data Science

This course is designed to be an introduction to Python and its uses as a data analytics tool. The material will emphasize the core concepts in Python, specifically data types, data structures, functions, and classes and how they can be implemented and used to address data analytics problems. Popular modules used in data analysis will also be covered at a high level to include both NumPy, Matplotlib, and statsmodels.

                               Introduction to Python for Data Science Course Outline
Day One Day Two  
Introduction
Python and Jupyter Overview
Fundamentals
Packages, Modules, Methods, Functions
Importing Data
Selecting snd Filtering Data
Working with Columns
Case study: Part 1Q & A
 
Case study: Part 1review
Summarizing Data
Summarizing Grouped Data
Joining Data
Exporting Data
Visualizing Data
Case study: Part 2
Case study: Part 2 review
Q & A

 

Intermediate Python for Data Science

This short course provides a more detailed information on how programming with Python can make working with data easier and a deeper dive into data visualization. You will learn how to program more efficient data science applications in Python using control flow and custom functions, gain comfort with Python on the command line, be exposed to modeling with the scikit learn package and a few of the leading data visualization packages of Python.

PREREQUISITE: Attendance at the Introduction to Python for Data Science training or previous experience using Python for data analysis in a professional environment.

                                      Intermediate Python for Data Science Course Outline.
Day One Day Two  
Introduction
Working with data using pandas
Conditions
Iterations
Functions
Applying functions to pandas dataframes
Case study: Part 1Q & A
Case Study Part 1 Review
Python from the shell
Kernels and environments
Python data science ecosystem
Modeling with sci-kit learn
Case study: Part 2
Case study: Part 2 reviewQ & A
 
 

Advanced Python for Data Science

Course being developed


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Instructor

Ethan Swan is a senior data scientist at 84.51°, where he has been teaching Python and Linux courses since 2016. He holds a BS in computer science and an MBA from the University of Notre Dame. In his free time, he enjoys working on technology projects and is a contributor to the NBA API package on PyPI.

Website: ethanswan.com

Twitter: @eswan18


Online Course Fee: $495  

 

These and other training can also be customized and delivered at your location


For more information about these classes, or for custom training classes, please contact
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Larry Porter

Training, Marketing and Sponsorship

513-556-4742