课程信息
4.4
175 个评分
42 个审阅
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为15 小时

建议:12 hours/week...
可选语言

英语(English)

字幕:英语(English), 越南语

您将获得的技能

StatisticsData ScienceInternet Of Things (IOT)Apache Spark
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为15 小时

建议:12 hours/week...
可选语言

英语(English)

字幕:英语(English), 越南语

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 4 小时

Introduction to exploratory analysis

Analysis of data starts with a hypothesis and through exploration, those hypothesis are tested. Exploratory analysis in IoT considers large amounts of data, past or current, from multiple sources and summarizes its main characteristics. Data is strategically inspected, cleaned, and models are created with the purpose of gaining insight, predicting future data, and supporting decision making. This learning module introduces methods for turning raw IoT data into insight ...
Reading
2 个视频 (总计 3 分钟), 1 个阅读材料, 3 个测验
Video2 个视频
Overview of technology used within the course1分钟
Reading1 个阅读材料
Latest Video summary on environment setup10分钟
Quiz1 个练习
Challenges, terminology, methods and technology2分钟
2
完成时间(小时)
完成时间为 6 小时

Tools that support IoT solutions

Data analysis for IoT indicates that you have to build a solution for performing scalable analytics, on a large amount of data that arrives in great volumes and velocity. Such a solution needs to be supported by a number of tools. This module introduces common and popular tools, and highlights how they help data analyst produce viable end-to-end solutions. ...
Reading
8 个视频 (总计 52 分钟), 1 个阅读材料, 5 个测验
Video8 个视频
ApacheSpark and how it supports the data scientist7分钟
Programming language options on ApacheSpark10分钟
Functional programming basics6分钟
Introduction of Cloudant2分钟
ApacheSparkSQL6分钟
Overview of end-to-end scenario8分钟
IBM Watson Studio (formerly Data Science Experience)3分钟
Reading1 个阅读材料
Download the “IoT Data storage cost calculator”10分钟
Quiz3 个练习
Data storage solutions, and ApacheSpark12分钟
Programming language options and functional programming12分钟
ApacheSparkSQL, Cloudant, and the End to End Scenario12分钟
3
完成时间(小时)
完成时间为 4 小时

Mathematical Foundations on Exploratory Data Analysis

This learning module explores mathematical foundations supporting Exploratory Data Analysis (EDA) techniques. ...
Reading
7 个视频 (总计 35 分钟), 1 个阅读材料, 4 个测验
Video7 个视频
Averages5分钟
Standard deviation3分钟
Skewness3分钟
Kurtosis2分钟
Covariance, Covariance matrices, correlation13分钟
Multidimensional vector spaces5分钟
Reading1 个阅读材料
Exercise 210分钟
Quiz3 个练习
Averages and standard deviation10分钟
Skewness and kurtosis10分钟
Covariance, correlation and multidimensional Vector Spaces16分钟
4
完成时间(小时)
完成时间为 4 小时

Data Visualization

This learning module details a variety of methods for plotting IoT time series sensor data using different methods in order to gain insights of hidden patterns in your data...
Reading
4 个视频 (总计 24 分钟), 2 个阅读材料, 2 个测验
Video4 个视频
Plotting with ApacheSpark and python's matplotlib12分钟
Dimensionality reduction4分钟
PCA5分钟
Reading2 个阅读材料
Exercise 3.110分钟
Exercise 3.210分钟
Quiz1 个练习
Visualization and dimension reduction10分钟
4.4
42 个审阅Chevron Right
工作福利

83%

通过此课程获得实实在在的工作福利

热门审阅

创建者 HSSep 10th 2017

A perfect course to pace off with exploration towards sensor-data analytics using Apache Spark and python libraries.\n\nKudos man.

创建者 CSJul 9th 2018

A Great Course to get an understanding regarding some basics concepts of data analytics through implementation

讲师

Avatar

Romeo Kienzler

Chief Data Scientist, Course Lead
IBM Watson IoT

关于 IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

关于 Advanced Data Science with IBM 专项课程

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging....
Advanced Data Science with IBM

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