48,019 次近期查看

### 您将获得的技能

StatisticsData ScienceInternet Of Things (IOT)Apache Spark

1

## Introduction the course and grading environment

2 个视频 （总计 3 分钟）, 2 个阅读材料, 3 个测验
2 个视频
Overview of technology used within the course1分钟
2 个阅读材料
Assignment and Exercise Environment Setup10分钟
IMPORTANT: How to submit your programming assignments10分钟
1 个练习
Challenges, terminology, methods and technology2分钟
2

## Tools that support BigData solutions

8 个视频 （总计 51 分钟）, 2 个阅读材料, 4 个测验
8 个视频
Parallel data processing strategies of Apache Spark7分钟
Programming language options on ApacheSpark10分钟
Functional programming basics6分钟
Introduction of Cloudant2分钟
Resilient Distributed Dataset and DataFrames - ApacheSparkSQL6分钟
Overview of how the test data has been generated (optional)8分钟
IBM Watson Studio (formerly Data Science Experience)3分钟
2 个阅读材料
Apache Parquet (optional)10分钟
Create the data on your own (optional)10分钟
3 个练习
Data storage solutions, and ApacheSpark12分钟
Programming language options and functional programming12分钟
ApacheSparkSQL and Cloudant12分钟
3

## Scaling Math for Statistics on Apache Spark

7 个视频 （总计 35 分钟）, 1 个阅读材料, 4 个测验
7 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
1 个阅读材料
Exercise 210分钟
3 个练习
Averages and standard deviation10分钟
Skewness and kurtosis10分钟
Covariance, correlation and multidimensional Vector Spaces16分钟
4

## Data Visualization of Big Data

4 个视频 （总计 24 分钟）, 2 个阅读材料, 2 个测验
4 个视频
Plotting with ApacheSpark and python's matplotlib12分钟
Dimensionality reduction4分钟
PCA5分钟
2 个阅读材料
Exercise 3.110分钟
Exercise 3.210分钟
1 个练习
Visualization and dimension reduction10分钟
4.3
175 条评论

## 50%

### 来自Fundamentals of Scalable Data Science的热门评论

Very useful courses to take if you are beginner of data science. The course was not detailed enough sometime. But you will surely get a global view of IOT data analysis after this courses.

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

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....

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