課程信息
4.3
343 個評分
79 個審閱

第 1 門課程(共 4 門)

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

根據您的日程表重置截止日期。

初級

完成時間大約為14 小時

建議:14 hours/week...

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

第 1 門課程(共 4 門)

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

根據您的日程表重置截止日期。

初級

完成時間大約為14 小時

建議:14 hours/week...

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 ...
2 個視頻 (總計 3 分鐘), 1 個閱讀材料, 3 個測驗
2 個視頻
Overview of technology used within the course1分鐘
1 個閱讀材料
Latest Video summary on environment setup10分鐘
1 個練習
Challenges, terminology, methods and technology2分鐘
2
完成時間為 5 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. ...
8 個視頻 (總計 52 分鐘), 1 個閱讀材料, 4 個測驗
8 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
1 個閱讀材料
Download the “IoT Data storage cost calculator”10分鐘
3 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
完成時間為 4 小時

Mathematical Foundations on Exploratory Data Analysis

This learning module explores mathematical foundations supporting Exploratory Data Analysis (EDA) techniques. ...
7 個視頻 (總計 35 分鐘), 1 個閱讀材料, 4 個測驗
7 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
1 個閱讀材料
Exercise 210分鐘
3 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...
4 個視頻 (總計 24 分鐘), 2 個閱讀材料, 2 個測驗
4 個視頻
Plotting with ApacheSpark and python's matplotlib12分鐘
Dimensionality reduction4分鐘
PCA5分鐘
2 個閱讀材料
Exercise 3.110分鐘
Exercise 3.210分鐘
1 個練習
Visualization and dimension reduction10分鐘
4.3
79 個審閱Chevron Right

60%

完成這些課程後已開始新的職業生涯

40%

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 MTFeb 8th 2019

Good course content, however, some of the material especially the IBM cloud environment setup sometimes confusing

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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