دوره داده‌کاوی و پیش‌پردازش: تبدیل داده‌های خام به هوش مصنوعی

عنوان دوره : ZerotoMastery – Data Wrangling Bootcamp: Turn Alien Data into AI

سطح : تمامی سطوح

زمان کل دوره : 27 ساعت و 24 دقیقه

تعداد فايل ها : 160 (1080p)

سال آموزش : 2026

فایل تمرینی : دارد: ZIP (1)

مربی دوره : Travis Cuzick

نرم افزار : –

زیرنویس انگلیسی : ندارد

ZerotoMastery – Data Wrangling Bootcamp: Turn Alien Data into AI

Data Wrangling Bootcamp: Turn Alien Data into AI

Learn Data Wrangling with Python and Pandas from scratch – no prior knowledge necessary! You’ll tame and analyze messy real-world datasets (including real-world data on UFOs!), combine tables, automate transformations, preprocess data for AI & machine learning, and turn raw data into useful real-world results for the AI Age.

What you’ll learn

Turn messy real-world data into clean, analysis-ready datasets
Quickly explore unfamiliar files and spot problems before they cause trouble
Filter, sort, group, and reshape data to uncover useful insights
Clean up missing values, duplicates, messy text, and awkward dates
Combine multiple datasets confidently with joins and concatenation
Build flexible transformations with custom functions, map, and apply
Use AI to debug errors, generate code, and learn new techniques faster
Prepare data for machine learning, feature engineering, and AI models

Data shows up everywhere — in business, research, finance, marketing, operations, tech, and everyday decision-making. The problem is, it rarely arrives clean and ready to use!

This course teaches you one of the most valuable and vital skills in the tech world today: how to take messy, confusing data and turn it into something clear, structured, and useful that can be used to train generative AI and machine learning models.

You’ll learn how to explore unfamiliar datasets, clean up common problems, combine information from different sources, work with text and dates, and create your own transformations.

You’ll also discover how AI tools can help you troubleshoot errors, write code faster, and learn new techniques along the way.

Finally, you’ll see where data wrangling leads next. You’ll prepare data for scikit-learn, engineer useful features, fine-tune a Transformer, and turn your work into a shareable web application.