課程信息
4.4
180 個評分
42 個審閱
專項課程

第 1 門課程(共 4 門)

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
初級

初級

完成時間(小時)

完成時間大約為15 小時

建議:12 hours/week...
可選語言

英語(English)

字幕:英語(English), 越南語

您將獲得的技能

StatisticsData ScienceInternet Of Things (IOT)Apache Spark
專項課程

第 1 門課程(共 4 門)

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
初級

初級

完成時間(小時)

完成時間大約為15 小時

建議:12 hours/week...
可選語言

英語(English)

字幕:英語(English), 越南語

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 4 小時

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 個視頻 (總計 3 分鐘), 1 個閱讀材料, 3 個測驗
Video2 個視頻
Overview of technology used within the course1分鐘
Reading1 個閱讀材料
Latest Video summary on environment setup10分鐘
Quiz1 個練習
Challenges, terminology, methods and technology2分鐘
2
完成時間(小時)
完成時間為 6 小時

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 個視頻 (總計 52 分鐘), 1 個閱讀材料, 5 個測驗
Video8 個視頻
ApacheSpark and how it supports the data scientist7分鐘
Programming language options on ApacheSpark10分鐘
Functional programming basics6分鐘
Introduction of Cloudant2分鐘
ApacheSparkSQL6分鐘
Overview of end-to-end scenario8分鐘
IBM Watson Studio (formerly Data Science Experience)3分鐘
Reading1 個閱讀材料
Download the “IoT Data storage cost calculator”10分鐘
Quiz3 個練習
Data storage solutions, and ApacheSpark12分鐘
Programming language options and functional programming12分鐘
ApacheSparkSQL, Cloudant, and the End to End Scenario12分鐘
3
完成時間(小時)
完成時間為 4 小時

Mathematical Foundations on Exploratory Data Analysis

This learning module explores mathematical foundations supporting Exploratory Data Analysis (EDA) techniques. ...
Reading
7 個視頻 (總計 35 分鐘), 1 個閱讀材料, 4 個測驗
Video7 個視頻
Averages5分鐘
Standard deviation3分鐘
Skewness3分鐘
Kurtosis2分鐘
Covariance, Covariance matrices, correlation13分鐘
Multidimensional vector spaces5分鐘
Reading1 個閱讀材料
Exercise 210分鐘
Quiz3 個練習
Averages and standard deviation10分鐘
Skewness and kurtosis10分鐘
Covariance, correlation and multidimensional Vector Spaces16分鐘
4
完成時間(小時)
完成時間為 4 小時

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 個視頻 (總計 24 分鐘), 2 個閱讀材料, 2 個測驗
Video4 個視頻
Plotting with ApacheSpark and python's matplotlib12分鐘
Dimensionality reduction4分鐘
PCA5分鐘
Reading2 個閱讀材料
Exercise 3.110分鐘
Exercise 3.210分鐘
Quiz1 個練習
Visualization and dimension reduction10分鐘
4.4
42 個審閱Chevron Right
工作福利

50%

通過此課程獲得實實在在的工作福利

熱門審閱

創建者 HSSep 10th 2017

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

創建者 CSJul 9th 2018

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

講師

Avatar

Romeo Kienzler

Chief Data Scientist, Course Lead
IBM Watson IoT

關於 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....

關於 Advanced Data Science with IBM 專項課程

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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