Description
Welcome to the first advanced and project-oriented Pandas data science course (Python Data Science with Pandas: Master 12 Advanced Projects)! This course starts where many other courses end: you can write pandas code but still struggle with real-world projects because: 1. Real-world data is usually in one or more Text/Excel file not provided -> more advanced data entry techniques required. 2- Real world data is large, unstructured, nested and messy -> more advanced techniques for data manipulation and data analysis/visualization are required. 3- Many easy-to-use Pandas methods work best with relatively small and clean datasets -> real-world datasets require more generic code (including other libraries/modules)
Whether you need excellent pandas skills for data analysis, machine learning or finance purposes, this is the course for you to take your skills to expert level! Master your real world projects! I’m Alexander Hagman, a finance specialist and data scientist (over 7 years of industry experience) and a best-selling trainer for Pandas, Data Science and Finance (Finance) with Python. I look forward to meeting you in this course!
What you will learn in Python Data Science with Pandas: Master 12 Advanced Projects
- Application of Machine Learning: Real Estate Price Prediction
- Doing web-scraping with the Pandas library
- Advanced visualizations with Matplotlib and Seaborn
- Cleaning large and messy datasets (millions of rows/columns)
- Working with large data sets (millions of rows/columns)
- And…
This course is suitable for people who
- Everyone who really wants to master big, messy, uncleaned data sets.
- Everyone who wants to improve their skills from “I can write pandas code” to “I can master my real data projects with pandas”.
- Data scientists
- Machine learning experts
- Finance and investment specialists
- researchers
Course details
Publisher: Udemy
teacher: Alexander Hagmann
English language
Training level: advanced
Number of courses: 195
Training duration: 15 hours and 35 minutes
Headlines of the course on 2022-9
prerequisites
You should be familiar with Python (Standard Library, Numpy, Matplotlib)
You should have worked with Pandas before (at least you should know the basics)
A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
An internet connection capable of streaming HD videos.
Some high school level math skills would be great (not mandatory, but it helps)
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
3.82 GB
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