Applied Pandas: Twitter Analytics

Curious about your tweet activity? Want to understand what is happening with your 280 characters as you post them in the ether?

This course takes you through gathering you twitter data to running correlations, visualizing it, analyzing trends, and running machine learning on it.

Join us to get insight into your tweets, pandas, and Python!

Buy now

What is the course?

I thought it would be fun to understand how my tweets perform. Does length matter? What about images? Unicode? What will get more interactions? 🤔

To that end, I created this Applied Pandas course. To walk you through how I do analysis when I run across a new data set. 🔍

You'll see loading the data, cleaning it up, exploring correlations, visualizations, time series analysis, and machine learning.

This course assumes that you have some basic Python knowledge so you can follow along. It won't teach you Pandas either ... but you can take the code and use your data to get instant insight into your tweets.

I've been using Pandas for a long time, you will pick up hints and tricks that I use all the time to make my code easy to read, debug, and share with others.

Enjoy!

Learn how to customize Jupyter

Humans aren't optimized for looking at large tables of data. Yet we feel a primal need to do it. I'll show you how.

Write idiomatic Pandas

I'll be honest. Most pandas code in the wild or on popular blogs is bad. Hard to debug, hard to read, and error prone. I'll drop some knowledge bombs and best practices.

Visualize with ease

I know everyone hates the Matplotlib API. Guess what? I rarely use it. Pandas makes it easy to plot.

Machine Learn all the things

What is a course that doesn't talk about Machine Learning? It is not this course. We will show how to get insight from your data by asking the machine what is useful.

And more...

There's almost three hours of content in this course. (1.5 if you watch at 2x). Enjoy!

Testimonials

I've just about finished the "Applied Pandas Twitter Analysis" online course, by 🐍 Matt Harrison. I signed-up on a whim as the cost was relatively inexpensive, and I knew that Matt was the real-deal with respect to python from his earlier "Advent of Code" series.

I'm not so much interested in #Twitter per-se. I was curious as to the structured analytical approach here, compared to the scattergun approaches available on other free online channels.

If you're a frequent Twitter user and want to level-up your #python and #pandas skills, then you may wish to check out the course. I hope to use what I have learnt with other time-based data.

Emanual V

Applied pandas with twitter analytics was awesome! great teaching style, professional-level coding style, and applied to tweet data (exactly when i want to grow on twitter anyway).

buy this course even if you think you know pandas!

i started "chaining" because of this - my pandas code is so much better now.

added bonus: by the end, you've built a framework to track your own tweet analytics ongoing!

@daveyscience

Sections

Introduction

01-Intro.mov

Preview

Installation

03-Install-Windows.mov

02-Install-Linux.mov

Files for Course

Twitter.ipynb

tweet_activity_metrics___mharrison___20201201_20210101_en.csv

tweet_activity_metrics___mharrison___20201101_20201201_en.csv

Getting Data

04-Getting-Data.mov

Loading Data

A quick introduction to Jupyter, then we will set up the notebook, and load our data.

05-Loading-Data.mov

Combine Data

06-Combine-Data.mov

Clean Data

07-Cleanup.mov

Correlations

08-Correlations.mov

More Exploration

09-More-Exploration.mov

Time Series

10-Time-series.mov

Preview

Merging

11-Merging.mov

Machine Learning - Clustering

12-ML-Clustering.mov

Machine Learning - PCA

13-ML-PCA.mov