Learners who have completed WatSPEED's Python I course or have equivalent knowledge are a perfect fit for this course. Learners interested in enrolling for WatSPEED's Data Science certificate or Python for Machine Learning can be even better prepared by taking this course.

Some other learners who should enrol are:

• Aspiring data scientists: Those looking to build a strong foundation in data manipulation and visualization, essential for data science roles. 
• Data analysts: Professionals who want to enhance their skills in handling and analyzing large datasets using Python. 
• Researchers: Individuals in academia or industry who need to process and visualize data for their research projects. 
• Software developers: Developers who want to integrate data analysis and visualization capabilities into their applications.
• Business analysts: Professionals who need to derive insights from data to support business decisions. 
• Aspiring machine learning professionals: Those preparing to transition into technical roles in machine learning who need a solid understanding of data handling and preprocessing. 
• Financial analysts: Analysts who need to manipulate and visualize financial data for reporting and analysis. 
• Anyone interested in Python: Individuals with a basic understanding of Python who want to advance their skills in data manipulation and visualization. 

Learn alongside your team!

WatSPEED provides custom learning experiences tailored for large groups from any single organization. Register three or more employees from the same organization and receive 15 per cent off. Contact our team at watspeed@uwaterloo.ca for details.

• Exclusive access to your program author—a University of Waterloo faculty expert in computer science.
• Learn at your own pace with weekly independent online learning and hands-on exercises.
• Attend a live orientation session before your course starts to get up to speed on the curriculum.
• Optional live drop-in sessions twice weekly (time to be determined soon) via Zoom where you can ask questions and receive instructor support on key course concepts.
• Engage directly with your classmates through online discussion boards.
• Complete multiple choice quizzes each week while achieving a 70 per cent grade to complete the course. Receive immediate feedback on quizzes and interactive course components.
• The course consists of texts, visuals, videos, and interactive activities.
• Up to five hours each week (including drop-in sessions, hands-on exercises, discussion boards, and independent study). 
  
  

Academic requirements

Learners are recommended to complete our Python I course or have the equivalent knowledge before starting Python 2.

 

System requirements

• This course is housed in the OpenEdX platform and works best in Google Chrome or Mozilla Firefox. Safari and Microsoft Edge are not recommended.
• No software is needed to complete this course as all exercises can be completed within the course itself.

• Zoom is used for drop-in sessions. 

Receive a certificate from the University of Waterloo

Upon successful completion of this program, you will receive a professional education certificate from the University of Waterloo.

Dr. Carmen Bruni is a faculty member at the University of Waterloo, David R. Cheriton School of Computer Science.

Before starting at Waterloo in 2015, he obtained his PhD. in Mathematics from the University of British Columbia. He completed his undergraduate and master’s degrees at Waterloo in Computer Science and Pure Mathematics.  

From 2015 to 2017, he worked with Waterloo’s Centre for Education in Mathematics and Computing. Since then, he has been teaching in the School of Computer Science. Dr. Bruni has received numerous awards for teaching excellence including a prestigious Killam Graduate Teaching Award in 2013. 

His current research interests are in mathematics, education, and pedagogy.