This purchase includes entrance to the live online 2-week Joining Data with Pandas course to be held every Monday and Wednesday from 8-10 pm EST Jun 21 - 30, 2021.
You can retake this class for free whenever it is offered again.
This is the sixth course in the Pandas Certification Track where you'll become an expert at joining data with the Pandas library.
- Automatic index alignment
- Concatenating data
- SQL databases
- Merging and joining data
- Data normalization
After completion of the live course, you will be given a comprehensive and challenging exam on all topics covered. Passing this exam will earn you a certification of completion.
The Python Pandas Certification Track set of courses targets those who desire to become an expert at using Python to analyze data. It also targets those who want challenging exams to prove their expertise. You will need to set aside significant time (20 - 40 hours per course) in order to compete all the exercises and study for the certification exam.
Class time is divided between live coding sessions delivered by Ted and hands-on practice exercises and projects that you complete. During the live coding you are provided an outline of the topics that Ted will cover as a Jupyter Notebook allowing you to code right along with Ted, explore how the commands work, and ask questions.
About the Instructor
This course is taught by Ted Petrou, an expert at Python, data exploration, and machine learning. Ted is the author of the highly-rated text Pandas Cookbook as well as Exercise Python, Master Data Analysis with Python, and Master Machine Learning with Python.
Ted has taught hundreds of students Python and data science during in-person classroom settings. He sees first hand exactly where students struggle and continually upgrades his material to minimize these struggles by providing a simple and direct path forward.
Ted is one of the foremost authorities on using the pandas library to do data analysis with his blog posts totaling well over 1 million views. He is also a prolific contributor on Stack Overflow having answered over 400 questions. He is an enthusiastic instructor and dedicates his time to ensure student understanding.
Ted is the author of multiple Python libraries, including dexplot, bar_chart_race, jupyter_to_medium, and others.
Ted holds a master's degree in statistics from Rice University.
If you earn less than $50,000 USD annually, message me personally through the chat box or email me at [email protected] and I will give you a discount.