Master Pandas for Data Analysis
4 Weeks
·Cohort-based Course
A comprehensive, live, four-week course to master pandas for data analysis with expert instruction.
Master Pandas for Data Analysis
4 Weeks
·Cohort-based Course
A comprehensive, live, four-week course to master pandas for data analysis with expert instruction.
Course overview
Master Data Analysis with Python
Become an expert at Pandas, one of the most powerful and popular tools available for performing data analysis. Learn best practices by completing hundreds of exercises and passing challenging certification exams.
Who is this course for
01
Anyone that desires to create customized real-world data analyses with one of the most popular and powerful tools available today.
02
Anyone who wishes to learn best practices from an expert who's written multiple books and taught thousands of people in-person and online.
03
Anyone who likes to prove their expertise by passing challenging certification exams.
What you'll get
Master Data Analysis with Python book
You'll get lifetime access to Master Data Analysis with Python, the most comprehensive text available to learn pandas. It comes with 70+ chapters, 500+ exercises, and 10 hours of video lessons.
Expert instruction from someone who has completely mastered Pandas
Pandas is a difficult library to use correctly with many other instructors using poor, ineffective techniques. Teddy has continually updated his material to provide the very best practices for the most effective and efficient pandas usage.
Hundreds of exercises with detailed solutions
Master Pandas for Data Analysis is an interactive, hands-on course providing you with hundreds of exercises on every component covered. Detailed solutions are provided so that you'll always understand how to complete each exercise.
Four Challenging Certification Exams
One of the best ways to prove your expertise is by taking and passing our challenging certification exams. At the end of each week, you'll be expected to take and pass a certification exam covering that week's material.
Communication directly with the instructor in dedicated Slack workspace
Help will always be immediately within your grasp as you will have access to a Slack workspace with direct communication with Teddy.
Master Pandas for Data Analysis
See what people are saying
Cristian Saavedra Desmoineaux
Bon Crowder
Mark Conway
João Nogueira
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Meet your instructor
Teddy Petrou
Founder of Dunder Data
This course is taught by Teddy Petrou, an expert at Python, data exploration and machine learning. He is the author of the multiple highly rated texts including:
- Pandas Cookbook
- Master the Fundamentals of Python
- Master Data Analysis with Python
- Master Machine Learning with Python
- Build an Interactive Data Analytics Dashboard with Python
Teddy 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.
Teddy is one of the foremost authorities on using the pandas library to do data analysis. His blog posts have totaled 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 helping students at their desk during exercises to ensure understanding.
Teddy demonstrates his deep fluency in Python by developing open source Python libraries and is the creator of dexplo, a suite of data science packages that include bar_chart_race, dexplot, jupyter_to_medium, and dataframe_image.
Teddy holds a Master's degree in Statistics from Rice University.
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Master Pandas for Data Analysis
Course syllabus
01
Intro to Pandas
You will get introduced to the DataFrame, the main container of data with lots of functionality. We then move onto selecting subsets of data, one of the most common and basic data analysis tasks. We cover the best and most efficient ways to select particular rows, columns, as well as how to query our data for specific conditions.
02
Essential Pandas Commands
In this section, we cover the most commn methods that are used in nearly every analysis. We begin with aggregation and non-aggregation methods on single columns of data, a pandas Series. We then move onto string-only and datetime-only methods before finally learning how to change the direction of operation using the entire DataFrame.
03
Grouping Data
All the operations used until this section were applied to all the values of a Series or DataFrame. You will learn how to split your data into groups based on the unique values of one or more columns. This 'grouping' allows you to run different calculations for independent groups within your data.
04
Time Series Analysis
You will learn how to select specific time periods of data, sample time series data at evenly spaced intervals, operate over a rolling window of time, and group by any time period you desire.
Course schedule
10-15 hours per week
Tuesdays & Thursdays
12:30pm - 2:00pm CT
Live classes are always interactive and completed together with Teddy in Jupyter Notebooks.
Four-Week Course
This course runs four entire weeks, giving you the much needed time to practice what you learned, study the written material, watch the videos, and take the weekly certification exam.
Weekly Assignments
The majority of work for this course must be completed outside of the live classes. Each week you will be assigned material to read, video lessons to watch, and exercises to complete.
Certification Exams
At the end of each week, a challenging certification exam is offered to test your knowledge of the material. You will receive a certificate of completion for passing each exam.
Watch a sample lesson of Teddy demonstrating the most effective way to select a column from a pandas DataFrame
10 Reasons to use brackets to select a pandas DataFrame column and NOT dot notation
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Master Pandas for Data Analysis
Learning is better with cohorts
Active learning, not passive watching
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you