Introduction to Data Science with Python

Source: AIChE
  • Course ID:
  • Type:
    eLearning (online) Course
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  • Duration:
    3 hours
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Put your knowledge of Python to work as you learn the basics of data science

Move beyond your understanding of the basics of the Python programming language. In this self-paced course, you’ll have the opportunity to actually use Python programming to learn the essentials of data science. Have you taken ELA270 Introduction to Python Programming for Chemical Engineers? Or, have you gained some basic knowledge of Python programming on your own? Either way, you have the basic knowledge of Python you need to take this self-paced course and learn data science.      

Gain an introduction to data science by completing hands-on exercises with Python    

Chemical engineers are dealing with more and more complex data. This 12-leasson course will help you keep pace by introducing you to the core areas of data science. You’ll build your confidence by completing a variety of hands-on exercises using Python along with a Temperature Control (TC) Kit (available for purchase). You’ll engage in e-learning content and practice what you learn through activities using Jupyter Notebook and by answering review questions.  And, you can get more help with a lesson if you need it by taking a video walk through it.  At the end of the course, you’ll complete a final project to demonstrate your learning, take a final quiz and earn a final grade.  Leave ready to take the knowledge you’ve gained and put it to use as you advance deeper into the world of data science.  

 What you’ll learn:

  • An introduction to data science using Python
  • How to use Python to complete a project with a Temperature Control Kit
  • How to apply Python to activities using Jupyter Notebook  
  • The relationship between Python and data science     

If you have some experience with Python already, you may consider taking ELA270: Introduction to Python for Chemical Engineers and ELA272: Process Dynamics and Control with Python


John Hedengren

John Hedengren is a Professor at Brigham Young University and leads the PRISM group with interests in combining data science, optimization, and automation. He earned a doctoral degree at the University of Texas at Austin and worked 5 years with ExxonMobil Chemical as an Advanced Control Engineer prior to joining BYU in 2011. His industrial control experience with PLC and DCS systems includes OPTO22, Honeywell TPS/TDC3000, Experion system, OPC, and Modbus. His area of expertise is in process dynamics, control, and optimization with applications in fiber optic monitoring, automation of oil...Read more



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AIChE Members $225.00
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AIChE Undergraduate Student Members $125.00
Non-Members $425.00

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