MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 199 lectures (20h 13m) | Size: 8.33 GB
Conquer Pandas, Matplotlib, Seaborn, and More. Work With Dozens of Datasets!
What you’ll learn
Master Pandas Dataframes and Series
Create beautiful visualizations with Seaborn
Analyze dozens of real-world datasets
Practice with tons of exercises and challenges
Learn the ins and outs of Matplotlib
Requirements
Basic Python Knowledge (variables, conditionals, etc)
Description
Welcome to what I think is the web’s best course on Pandas, Matplotlib, Seaborn, and more! This course aims to level up your data skills to help you grow your career in Data Science, Machine Learning, Finance, etc.
This is a tightly structured course that covers a ton, but it’s all broken down into human-sized pieces rather than an overwhelming reference manual that throws everything at you at once. After each and every new topic, you’ll have the chance to practice what you’re learning and challenge yourself with exercises and projects. We work with dozens of fun and real-world datasets including Amazon bestsellers, Rivian stock prices, Presidential Tweets, Bitcoin historic data, and UFO sightings.
We start with the basics of Jupyter notebook and setup before moving to Pandas essentials. Then you’ll learn how to read datasets in, work with DataFrames and Series, organize, filter, sort, clean, aggregate, and analyze those datasets. You’ll learn how to work with dates and textual information, master heirachical indexing, and even merge multiple datasets together.
And throughout the course you’ll create visualizations with matplotlib and eventually with Seaborn. Line, bar, pie charts, histograms, scatter plots, box plots, swarm, violin, strip, point plots, and complex subplot layouts! We’ll even learn how to customize the styles and appearance of our fancy plots to create truly engaging visualizations.
And the best part is that you don’t need to be an expert in Python. If you can work with variables, lists, and conditionals, you’ll be fine!
Whether you work in finance, data science, machine learnings, web development, or you aspire to work in those fields: the skills you learn in this course are essential. I’m not kidding when I say this is my favorite course I’ve ever made. I hope you enjoy it too.
Who this course is for
Beginner Python devs curious about data analysis, data visualization, or data science
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