The description
Welcome to the first advanced, project-oriented Python Data Science with Pandas course: Master 12 Advanced Projects! This course starts where many other courses end: you can write pandas code but you still struggle with real-world projects because: 1. Real-world data is usually in one or more text/Excel files 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 analysis/visualization are needed. 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 financial purposes, this course is for you to take your skills to the expert level! Master your real-world projects! I am Alexander Hagman, finance specialist and data scientist (over 7 years of industry experience) and 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
- Applying Machine Learning: Predicting Real Estate Prices
- Do web-scraping with the Pandas library
- Advanced visualizations with Matplotlib and Seaborn
- Cleaning large and messy datasets (millions of rows/columns)
- Work with large datasets (millions of rows/columns)
- And…
This course is suitable for people who
- Anyone who really wants to master large, messy, uncleaned datasets.
- Anyone 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
Editor: Udemy
Lecturer: Alexander Hagmann
English language
Level of training: advanced
Number of courses: 195
Duration of the training: 15 hours and 35 minutes
Course titles on 2022-9
Preconditions
You must 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 freeware.
An Internet connection capable of streaming HD video.
Some high school math skills would be great (not required, but it helps)
Pictures
Example video
Installation guide
After ripping, watch with your favorite player.
english subtitle
Quality: 720p
Download link
password file(s): ngaur.com
Cut
3.82 GB