Perfect Your Data Analysis Skills with Pandas in 1 Week

Master Pandas patterns to write clean and optimized code, collaborate with others, and prepare for machine learning.

Trainer, Author, Advisor, Consultant
Trainer, Author, Advisor, Consultant

Use Patterns to Build Powerful Reports

Use Patterns to Build Powerful Reports
Work on Your Own Data

No canned data. Use your own data in the lab and get real time feedback!

Manipulate your data with ease

You will master common patterns to manipulate your data

Quickly Create and Evaluate Code

You will write code that you can quickly evaluate to ensure your results

Be Confident with your Code

Write code that you can deploy and share with others

A pattern of wavy dots

Answer complex questions, create compelling visualizations, and create re-usable code snippets to ease data analysis.

See what people are saying

        I liked the format and the structure of the examples made a lot of sense. I think in our engineering community sometimes struggles with the unrealistic example data we must work with that it’s hard to relate back to our jobs.
Norman B
Norman B
Reliability Engineer
        Pandas is one of those libraries that suffers from the "guitar principle": it is easy to use, but difficult to master. Matt Harrison is ready to drop some knowledge on you and have you riffing your own data manipulation solos like you're Slash in "November Rain", or Prince in "Purple Rain"...
Wu
Wu
Pandas Enthusiast
        Matt Harrison is the Pandas guru, which in my opinion is equivalent to being Canelo Alvarez of boxers or the Esther Perel of therapists; he’s mastered the fundamentals and knows more than most anyone about the Pandas package.
Elijah J
Elijah J
Engineer
        This has revolutionized my workflow so far. Used to commit all the ‘sins’ - lots of intermediate dataframes, lots of single cell calculations/transformations in the notebook. And then you just lose track of what the started off as.
Demetrios
Demetrios
Data Scientist

Happy Clients

Happy Clients

Who is this course for

01

Analysts and data-minded folks who want to leverage powerful tools that senior data scientists are using.

02

Data Scientists who want to learn how to use Pandas and get real time feedback on their data. Master the Python ecosystem.

03

Professionals who want to avoid the endless Untitled58.ipynb renaming procedure.

Key outcomes

Learn Patterns for Loading and Prepping Data

Dealing with raw data is a pain. You will apply a re-usable process and will execute it on your own data.

Cleaning Numeric, Categoric, and Date Data

You will master a framework that allows you to clean, enhance, shrink, and prepare data for analysis and machine learning.

Effective EDA & Visualization

Loading data is half the battle. The other half is understanding it. You will create compelling visualizations to tell your story.

Organize your Code & Notebooks

What good is code if no one can read it or use it? You will structure your code and notebook so that they are easy to share and collaborate with others.

Get Feedback on Your Work

Books or online courses are great for knowledge transfer. In this course, you will apply that knowledge to your own data, learn faster, and walk away with code you can use at work.

Study Other Solutions

When you work with a cohort, you will review their solutions and applications. Working together will reinforce the patterns and you will find them generally applicable.

Meet your instructor

Matt Harrison
Matt Harrison
Trainer, Author, Advisor, Consultant

Data:

6 best-selling books, including Effective Pandas, Illustrated Guide to Python 3, and Machine Learning Pocket Reference.

Trainer for NASA, Qualcomm, Adobe, and more.

Instructor at Stanford and University of Utah.

20+ years of experience with Python and data science.

CS degree Stanford University.

I have created many online courses. This is my first cohort based course because I believe in the power of accountability. This course is not giving you a fish. It is beyond teaching you to fish. It is going on a fishing trip with you.


This course is proudly sponsored by MetaSnake

Course syllabus

01

Jupyter & Library Installation

Install and leverage power tooling on your machine.

02

Dealing with Numeric Data

Quantify, visualize, and determine steps for dealing with messy values.

03

Visualizing Data

Leverage the correct plots to tell compelling stories.

04

Understanding Categorical and Freeform Data

Learn to quantify and understand categorical data. Extract information from free form data.

05

Organizing Notebooks and Code

Use best practices of software engineering to create reusable snippets of code and analysis.

Course schedule

6-8 hours
  • Monday, Wednesday, & Friday
    1:00pm - 3:00pm EST

    We will meet as a cohort to learn, work, share, and in

  • Daily projects
    1-2 hours per day

    Work on applying frameworks and code snippets to your data.

Based on Best-selling book, Effective Pandas

These books get you close to 98%-99% of all the necessary core skills. -NVidia Engineer
These books get you close to 98%-99% of all the necessary core skills. -NVidia Engineer

Use this template to get Reimbursed

Use this template to get Reimbursed
Most Companies Encourage Training

You can probably get your company to pay for this course. I've included a template to make it easy for you.

Email Template

The email template is available here.

Learning is better with cohorts

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

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
Can I get reimbursed by my company?
I'm not a programmer, but I work with Excel? Is this course for me?
I want to learn with my team. (Or I have private data that I want to use but not in a public course)
Do I have to bring my own data?

Cost

$800 USD