Description
Welcome to the first advanced, project-oriented Python Data Science course with Pandas: Master 12 Advanced Projects! This course begins where many other courses end: you can write pandas code and 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 are required. . 2- Real world data is large, unstructured, nested and messy -> more advanced data manipulation and analysis/visualization techniques 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 financial purposes, this course is for you to take your skills to expert level! Master your real-world projects! My name is Alexander Hagman, finance specialist and data scientist (over 7 years of industry experience) and successful trainer for Pandas, Data Science and Finance (Finance) with Python. I look forward to meeting you in this class!
What you will learn in Python Data Science with Pandas: Master 12 Advanced Projects
- Application of machine learning: forecasting 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)
- Working with large data sets (millions of rows/columns)
- And…
This course is aimed at people who
- Anyone who really wants to master large, messy, and impure data sets.
- 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
Training level: advanced
Number of courses: 195
Training duration: 15 hours and 35 minutes
Featured in the 2022-9 course
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 guide you in installing the necessary free software.
An Internet connection capable of streaming HD videos.
Some high school math skills would be great (not required, but it helps)
Pictures
Example video
installation guide
After ripping, view with your favorite player.
english subtitles
Quality: 720p
Download link
password file(s): free download software
size
3.82 GB