Python Data Science with Pandas: Master 12 Advanced Projects

Python Data Science with Pandas: Master 12 Advanced Projects. Work with Pandas, SQL Databases, JSON, Web APIs & more to master your real-world Machine Learning & Finance Projects

This Course starts where many other courses end: You can write some Pandas code but you are still struggling with real-world Projects because

  • Real-World Data is typically not provided in a single or a few text/excel files -> more advanced Data Importing Techniques are required
  • Real-World Data is large, unstructured, nested and unclean -> more advanced Data Manipulation and Data Analysis/Visualization Techniques are required
  • many easy-to-use Pandas methods work best with relatively small and clean Datasets -> real-world Datasets require more General Code (incorporating other Libraries/Modules)

Python Data Science with Pandas: Master 12 Advanced Projects Description

Requirements

  • 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)

What you’ll learn

  • Advanced Real-World Data Workflows with Pandas you won´t find in any other Course.
  • Working with Pandas and SQL-Databases in parallel (getting the best out of two worlds)
  • Working with APIs, JSON and Pandas to import large Datasets from the Web
  • Bringing Pandas to its Limits (and beyond…)
  • Machine Learning Application: Predicting Real Estate Prices
  • Finance Applications: Backtesting & Forward Testing Investment Strategies + Index Tracking
  • Feature Engineering, Standardization, Dummy Variables and Sampling with Pandas
  • Working with large Datasets (millions of rows/columns)
  • Working with completely messy/unclean Datasets (the standard case in real-world)
  • Handling stringified and nested JSON Data with Pandas
  • Loading Data from Databases (SQL) into Pandas and vice versa
  • Loading JSON Data into Pandas and vice versa
  • Web-Scraping with Pandas
  • Cleaning large & messy Datasets (millions of rows/columns)
  • Working with APIs and Python Wrapper Packages to import large Datasets from the Web
  • Explanatory Data Analysis with large real-world Datasets
  • Advanced Visualizations with Matplotlib and Seaborn

Who this course is for:

  • Everyone who really want to master large, messy and unclean Datasets.
  • Everyone who want to improve skills from “I can write some Pandas Code” to “I can master my real-word Data Projects with Pandas”
  • Data Scientists
  • Machine Learning Professionals
  • Finance & Investment Professionals
  • Researchers

Python Data Science with Pandas: Master 12 Advanced Projects Free Download

Google Drive (Public)

Content From: https://www.udemy.com/course/python-data-science-with-pandas-master-advanced-projects/

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