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StatisticsData ScienceInternet Of Things (IOT)Apache Spark

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가 이 강좌를 수료한 후 새로운 커리어를 시작함

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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 1번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 18시간 필요
영어
자막: 영어, 베트남어

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강의 계획 - 이 강좌에서 배울 내용

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1

1

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Introduction the course and grading environment

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2개 동영상 (총 3분), 3 개의 읽기 자료, 3 개의 테스트
2개의 동영상
Overview of technology used within the course1m
3개의 읽기 자료
Intro to Apache Spark10m
Assignment and Exercise Environment Setup10m
IMPORTANT: How to submit your programming assignments10m
1개 연습문제
Challenges, terminology, methods and technology2m
2

2

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Tools that support BigData solutions

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7개 동영상 (총 48분), 2 개의 읽기 자료, 4 개의 테스트
7개의 동영상
Parallel data processing strategies of Apache Spark7m
Programming language options on ApacheSpark10m
Functional programming basics6m
Introduction of Cloudant2m
Resilient Distributed Dataset and DataFrames - ApacheSparkSQL6m
OPTIONAL: Test Data Generator (data is provided for you already)8m
2개의 읽기 자료
Apache Parquet (optional)42m
Create the data on your own (optional)10m
3개 연습문제
Data storage solutions, and ApacheSpark12m
Programming language options and functional programming12m
ApacheSparkSQL and Cloudant12m
3

3

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Scaling Math for Statistics on Apache Spark

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7개 동영상 (총 35분), 1 개의 읽기 자료, 4 개의 테스트
7개의 동영상
Averages5m
Standard deviation3m
Skewness3m
Kurtosis2m
Covariance, Covariance matrices, correlation13m
Multidimensional vector spaces5m
1개의 읽기 자료
Exercise 210m
3개 연습문제
Averages and standard deviation10m
Skewness and kurtosis10m
Covariance, correlation and multidimensional Vector Spaces16m
4

4

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Data Visualization of Big Data

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4개 동영상 (총 24분), 2 개의 읽기 자료, 2 개의 테스트
4개의 동영상
Plotting with ApacheSpark and python's matplotlib12m
Dimensionality reduction4m
PCA5m
2개의 읽기 자료
Exercise on Plotting10m
Exercise on PCA10m
1개 연습문제
Visualization and dimension reduction10m

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Advanced Data Science with IBM 특화 과정 정보

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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