Data Science Foundations

未分類

コースについて

データ収集やクリーニングから、傾向の分析、予測モデルの構築に至るまで、
データサイエンスのワークフロー全体を学びます。
本コースは初心者向けに設計されており、
実際のビジネスや研究の現場を想定した実践的なプロジェクトを通じて、
Python、データ可視化、統計的思考、機械学習について習得できます。

コース内容

Python for Data Analysis
Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

Introduction to Python
Working with Data Structures
Introduction to Pandas
Python Fundamentals
Pandas & Data Structures

Data Cleaning & Visualization
Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

Introduction to Machine Learning
Understand how machines learn from data and build your first predictive models.

コース制作:

Smart Work Hacks

Data Science Foundations

コースについて

このコースで学べること

コース内容

Python for Data Analysis
Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

Introduction to Python

Working with Data Structures

Introduction to Pandas

Python Fundamentals

Pandas & Data Structures

Data Cleaning & Visualization
Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

Handling Missing Data

Data Visualization Fundamentals

Using Matplotlib and Seaborn

Data Cleaning

Visualization Assessment

Introduction to Machine Learning
Understand how machines learn from data and build your first predictive models.

What Is Machine Learning?

Supervised vs Unsupervised Learning

Building Your First Model

Machine Learning Basics

Model Building Assessment

コースについて

このコースで学べること

コース内容

Python for Data Analysis Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

Introduction to Python

Working with Data Structures

Introduction to Pandas

Python Fundamentals

Pandas & Data Structures

Data Cleaning & Visualization Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

Handling Missing Data

Data Visualization Fundamentals

Using Matplotlib and Seaborn

Data Cleaning

Visualization Assessment

Introduction to Machine Learning Understand how machines learn from data and build your first predictive models.

What Is Machine Learning?

Supervised vs Unsupervised Learning

Building Your First Model

Machine Learning Basics

Model Building Assessment

Python for Data Analysis
Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

Data Cleaning & Visualization
Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

Introduction to Machine Learning
Understand how machines learn from data and build your first predictive models.