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Data Visualization with Python & R for Engineers

Data Visualization with Python & R for Engineers

位教师：Sivarit Sultornsanee

包含在中

了解更多

4个模块

深入了解一个主题并学习基础知识。

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

为学位做准备

了解更多

4个模块

深入了解一个主题并学习基础知识。

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

为学位做准备

了解更多

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

14 项作业

授课语言：英语（English）

91%

of learners achieved a positive career outcome

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有4个模块

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.

单元详情

In this module, we will delve into the fundamental aspects of data, exploring its definition, significance, and the transformative journey from raw information to actionable insights. Through a series of engaging videos, we will unravel the mysteries of structured and unstructured data, unveiling their unique characteristics and applications. As we progress, the module unfolds the intricate steps of the data workflow, guiding through the pivotal stages of framing objectives, preparing data, analysis, interpretation, and effective communication of findings. Additionally, our exploration extends to the vast landscape of Big Data, unraveling its complexities through the lens of the Five Vs: Volume, Velocity, Variety, Veracity, and Value. By the end of this module, We will not only have a comprehensive understanding of the foundational concepts of data but also possess the essential skills to navigate the data-driven landscapes of today's digital era. Get ready to unlock the power of data and discover its profound impact on our world!

涵盖的内容

2个视频6篇阅读材料4个作业2个讨论话题

2个视频总计6分钟

What is Data?3分钟
Big Data3分钟

6篇阅读材料总计29分钟

Course Overview1分钟
Syllabus - Data Visualization with Python & R for Engineers10分钟
Academic Integrity1分钟
Module 1 Overview2分钟
Resources5分钟
Data Workflow10分钟

4个作业总计95分钟

Module 1 Quiz60分钟
Questions to Consider15分钟
Check Your Knowledge10分钟
Check Your Knowledge10分钟

2个讨论话题总计40分钟

Meet Your Fellow Learners10分钟
Open Discussion 30分钟

In this module, we will dive into the world of data analytics. We'll learn how to find the right data for data analysis, considering factors like relevance and timeliness. Then, we'll explore the crucial step of preprocessing, where we’ll learn to clean and organize raw data effectively. From handling missing values to spotting outliers, we'll pick up essential skills to ensure the analysis is accurate and reliable. By the end of this module, we'll be all set to confidently select, process, and analyze data like a pro. Let's get started!

涵盖的内容

2个视频2篇阅读材料4个作业1个讨论话题

In this module, we'll explore how data visualization turns complex data into engaging stories. Building on our understanding of data's significance, we'll discover how visualization simplifies information and connects with diverse audiences. We’ll delve into creating various visualizations, from statistical plots to geographical graphs. By grasping different statistical graphs and their applications, you'll enhance your skills in sharing meaningful insights. Get ready to unlock the potential of visualization and enhance your ability to tell compelling data stories. Let's dive into this visually enlightening journey!

涵盖的内容

1个视频4篇阅读材料3个作业1个讨论话题

1个视频总计2分钟

Introduction to Visualization2分钟

4篇阅读材料总计85分钟

Module 3 Overview2分钟
Resources10分钟
Types of Graphs Used for Visualizations10分钟
Additional Resources63分钟

3个作业总计85分钟

Module 3 Quiz60分钟
Questions to Consider15分钟
Check Your Knowledge10分钟

1个讨论话题总计30分钟

Open Discussion Board30分钟

In this module, we'll delve into the fundamentals of Python coding. We'll explore key concepts such as variables, data types, and structures — crucial components in creating robust code. Throughout your Python learning journey, you'll acquire the skill of decision-making through if-else statements, navigate data using loops, and enhance your code with custom functions. Whether you're a coding novice or have some prior knowledge, this course ensures hands-on, practical experience. Let's explore, learn, and become experts in the key principles of Python programming. Get ready to bring your coding ideas to life!