courseraАнализ данных

Data Visualization with Python & R for Engineers

Курс от Northeastern University

Уровень не указан≈ 17.6 чАнглийский

О курсе

The primary objective of this course is to offer students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications. This course covers basics of data mining and visualization, and Python. It also introduces students to static visualization charts and techniques that reveal information, patterns, interactions.

Навыки, которые вы освоите

Data Cleansing Graphing Big Data Python Programming Data Storytelling Data Visualization Software Data Preprocessing Statistical Visualization Unstructured Data Data Processing Data Visualization Data Manipulation Data Mining Plot (Graphics)Data-Driven Decision-Making NumPy Programming Principles Exploratory Data Analysis Scripting

Программа курса

4 модулей · 48 учебных материалов

01Introduction to Data - Part 114 материалов

Course Welcome

Course OverviewЧтение Syllabus - Data Visualization with Python & R for EngineersЧтение Meet Your Fellow LearnersОбсуждение Academic IntegrityЧтение

Module 1 Introduction

Учитесь у экспертов

Sivarit Sultornsanee

Преподаватель курса

Data Visualization with Python & R for Engineers

О курсе

Навыки, которые вы освоите

Программа курса

Course Welcome

Module 1 Introduction

Учитесь у экспертов

Sivarit Sultornsanee

Module 1 Lesson 1 - What is Data?

Module 1 Lesson 2 - Big Data

Module 1 Assessment

Module 2 Introduction

Module 2 Lesson 1 - Finding and Preprocessing Data

Module 2 Lesson 2 - Data Preprocessing

Module 2 Assessment

Module 3 Introduction

Module 3 Lesson 1 - Introduction to Visualization

Module 3 Lesson 2 - Types of Graphs

Module 3 Assessment

Module 4 Introduction

Module 4 Lesson 1 - Variables and Data Types

Module 4 Lesson 2 - Conditional Statements and Loops: Defining Functions in Python

Module 4 Lesson 3 - Pandas and NumPy

Module 4 Assessment

Course Conclusion