【2022年】十大PySpark課程熱門排行推薦與優惠精選!

 

本文章推薦「Spark and Python for Big Data with PySpark」、「PySpark Essentials for Data Scientists (Big Data + Python)」、「A Crash Course In PySpark」等相關PySpark線上課程,讓您滿足學習的慾望。

你是否想透過線上學習得到更多的技能,增加自己的技能樹?現在是學生的您,透過線上學習可以將更多專業知識用在課業學習上更加強所學。還是您是朝九晚五的上班族,尋找可以為工作上帶來更上一層樓的技能?或您是因為興趣或想培養其他興趣?

線上課程不受地理位置影響,不受時間早晚影響,老師來自世界各地,也不受學習程度影響的特色,讓您無時無刻想學都可以,想多看幾次增加熟悉度也可以。不同領域的老師將針對不同主題滿足您的學習目的,推薦的課程項目會陸續更新,絕對提供您最熱門人氣高的線上課程。

  • 線上課程老師來自於全球,文章推薦的熱門課程除了繁中課程以外還會有機會看到簡中和英文課程,可以針對自己喜好挑選。
  • 呈現的價錢會因為一些活動而有折扣,但折扣有可能一段時間後結束而調整回原價,最終價錢煩請到課程頁面進行確認。





PySpark課程總覽

為了節省您的時間,本列表整理每個課程精要,讓您可以快速瀏覽這文章所提供的課程是否是您所需要的,點選您有興趣課程的「課程名稱」或「課程圖示」可以進一步跳到文章所屬課程的介紹區塊瞭解更多資訊。

課程名稱Spark and Python for Big Data with PySparkData Science:Hands-on Diabetes Prediction with Pyspark MLlibA Crash Course In PySparkApache Spark 3 for Data Engineering & Analytics with PythonBig Data with Apache Spark PySpark: Hands on PySpark, PythonPySpark Essentials for Data Scientists (Big Data + Python)PySpark & AWS: Master Big Data With PySpark and AWSApache PySpark FundamentalsLearning PySparkHands-On PySpark for Big Data Analysis
課程圖示
1

Spark and Python for Big Data with PySpark

2

Data Science:Hands-on Diabetes Prediction with Pyspark MLlib

3

A Crash Course In PySpark

4

Apache Spark 3 for Data Engineering & Analytics with Python

5

Big Data with Apache Spark PySpark: Hands on PySpark, Python

6

PySpark Essentials for Data Scientists (Big Data + Python)

7

PySpark & AWS: Master Big Data With PySpark and AWS

8

Apache PySpark Fundamentals

9

Learning PySpark

10

Hands-On PySpark for Big Data Analysis

課程原價NT$ 3,190NT$ 590NT$ 2,690NT$ 590NT$ 2,690
課程售價NT$ 570NT$ 470NT$ 470NT$ 470NT$ 470
課程評價(人數)4.6 分(15,890 個評分)4.3 分(135 個評分)4.6 分(410 個評分)4.5 分(239 個評分)4.2 分(86 個評分)4.6 分(454 個評分)4.5 分(99 個評分)4.4 分(153 個評分)4.4 分(153 個評分)4.5 分(68 個評分)
課程時長10.5 小時 小時 小時 小時6.5 小時 小時16.5 小時1.5 小時 小時2 小時
學生人數81,849 人11,791 人5,691 人5,335 人3,683 人2,967 人959 人958 人487 人200 人
課程特色Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!Diabetes Prediction using Machine Learning in Apache SparkLearn all the fundamentals of PySparkLearn how to use Python and PySpark 3.0.1 for Data Engineering / Analytics (Databricks) – Beginner to NinjaLearn to analyse batch, streaming data with Data Frame of Apache Spark Python and PySparkLearn how to wrangle Big Data for Machine Learning using Python in PySpark taught by an industry expert!Learn how to use Spark, Pyspark AWS, Spark applications, Spark EcoSystem, Hadoop and Mastering PySparkLearn PySpark, fundamentals of Apache Spark with PythonBuilding and deploying data-intensive applications at scale using Python and Apache SparkUse PySpark to productionize analytics over Big Data and easily crush messy data at scale
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



PySpark課程介紹

推薦的課程以倒序的方式呈現,越往下查看會看到越熱門的,期望您能找到滿意的學習主題!

10

Hands-On PySpark for Big Data Analysis

Use PySpark to productionize analytics over Big Data and easily crush messy data at scale
NT$ 2,690
NT$ 470

點擊看Udemy

課程老師Packt Publishing
課程評價4.5 分(68 個評分)
課程時長2 小時
學生人數200 人

課程介紹

Data is an incredible asset, especially when there are lots of it. Exploratory data analysis, business intelligence, and machine learning all depend on processing and analyzing Big Data at scale. 

How do you go from working on prototypes on your loc

瞭解更多細節

哪些人適合這堂課?

  • This course is for developers, Data Scientists, Business Analysts or anyone who needs to reliably analyze large amounts of messy real-world data. Whether you’re tasked with creating your company’s business intelligence function, or creating great data platforms for your machine learning models, or looking to use code to magnify the impact of your business, this course is for you.

學習目標

  • Work on real-life messy datasets with PySpark to get practical Big Data experience
  • Design for both offline and online use cases with Spark Notebooks to increase productivity
  • Analyse and discover patterns with Spark SQL to improve your business intelligence
  • Get rapid-fire feedback with PySpark’s interactive shell to speed up development time
  • Quickly iterate through your solution by setting up PySpark for your own computer
  • Using Spark Notebooks to quickly iterate through your new ideas

關注這課程的人也購買了這些…

9

Learning PySpark

Building and deploying data-intensive applications at scale using Python and Apache Spark

點擊看Udemy

課程老師Packt Publishing
課程評價4.4 分(153 個評分)
課程時長 小時
學生人數487 人

課程介紹

Apache Spark is an open-source distributed engine for querying and processing data. In this tutorial, we provide a brief overview of Spark and its stack. This tutorial presents effective, time-saving techniques on how to leverage the power of Python

瞭解更多細節

哪些人適合這堂課?

  • If you are a Python developer keen to master hands-on techniques using the Apache Spark 2.x ecosystem in the best possible manner, this video is for you.

學習目標

  • Learn about Apache Spark and the Spark 2.0 architecture.
  • Understand schemas for RDD, lazy executions, and transformations.
  • Explore the sorting and saving elements of RDD.
  • Build and interact with Spark DataFrames using Spark SQL
  • Create and explore various APIs to work with Spark DataFrames.
  • Learn how to change the schema of a DataFrame programmatically.
  • Explore how to aggregate, transform, and sort data with DataFrames.

關注這課程的人也購買了這些…



8

Apache PySpark Fundamentals

Learn PySpark, fundamentals of Apache Spark with Python
NT$ 590
NT$ 470

點擊看Udemy

課程老師Johnny F.
課程評價4.4 分(153 個評分)
課程時長1.5 小時
學生人數958 人

課程介紹

PySpark is the collaboration of Apache Spark and Python. This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At t

瞭解更多細節

哪些人適合這堂課?

  • Programmers and Developers
  • Anyone intersted in learning PySpark

學習目標

  • Learn the fundamentals of PySpark
  • Learn about the Apache Spark ecosystem
  • Working with columns and rows
  • Working with the DataFrame API
  • Learn about leveraging built-in Spark functions
  • Learn how to create your own functions in Spark

關注這課程的人也購買了這些…

7

PySpark & AWS: Master Big Data With PySpark and AWS

Learn how to use Spark, Pyspark AWS, Spark applications, Spark EcoSystem, Hadoop and Mastering PySpark
NT$ 2,690
NT$ 470

點擊看Udemy

課程老師AI Sciences
課程評價4.5 分(99 個評分)
課程時長16.5 小時
學生人數959 人

課程介紹

Comprehensive Course Description:

The hottest buzzwords in the Big Data analytics industry are Python and Apache Spark. PySpark supports the collaboration of Python and Apache Spark. In this course, you’ll start right from the basics and proceed to

瞭解更多細節

哪些人適合這堂課?

  • ● People who are beginners and know absolutely nothing about PySpark and AWS.
  • ● People who want to develop intelligent solutions.
  • ● People who want to learn PySpark and AWS.
  • ● People who love to learn the theoretical concepts first before implementing them using Python.
  • ● People who want to learn PySpark along with its implementation in realistic projects.
  • ● Big Data Scientists.
  • ● Big Data Engineers.

學習目標

  • ● The introduction and importance of Big Data.
  • ● Practical explanation and live coding with PySpark.
  • ● Spark applications
  • ● Spark EcoSystem
  • ● Spark Architecture
  • ● Hadoop EcoSystem
  • ● Hadoop Architecture
  • ● PySpark RDDs
  • ● PySpark RDD transformations
  • ● PySpark RDD actions
  • ● PySpark DataFrames
  • ● PySpark DataFrames transformations
  • ● PySpark DataFrames actions
  • ● Collaborative filtering in PySpark
  • ● Spark Streaming
  • ● ETL Pipeline
  • ● CDC and Replication on Going

關注這課程的人也購買了這些…



6

PySpark Essentials for Data Scientists (Big Data + Python)

Learn how to wrangle Big Data for Machine Learning using Python in PySpark taught by an industry expert!

點擊看Udemy

課程老師Layla AI
課程評價4.6 分(454 個評分)
課程時長 小時
學生人數2,967 人

課程介紹

This course is for data scientists (or aspiring data scientists) who want to get PRACTICAL training in PySpark (Python for Apache Spark) using REAL WORLD datasets and APPLICABLE coding knowledge that you’ll use everyday as a data scientist! By enroll

瞭解更多細節

哪些人適合這堂課?

  • Data Scientists interested in learning PySpark
  • PySpark developers looking to strengthen their coding skills
  • Python developers who need to work with big data
  • Data Scientists who want to learn to work with big data

學習目標

  • Use Python with Big Data on a distributed framework (Apache Spark)
  • Work with REAL datasets on realistic consulting projects
  • How to streaming LIVE data from Twitter using Spark Structured Streaming
  • Learn how to create a “Pandora Like” app that classifies songs into genres using machine learning
  • Flag suspicious job postings using Natural Language Processing
  • Use machine learning to predict optimal cement strength and the factors that affect it
  • Classify Christmas cooking recipes using Topic Modeling (LDA)
  • Customer Segmentation using Gaussian Mixture Modeling (Clustering)
  • Use cluster analysis to develop a strategy designed to increase college graduation rates for under-priveleged populations
  • How to use the k-means clustering algorithm to define a marketing outreach strategy
  • Integrate a UI to monitor your model training and development process with MLflow
  • Theory and application of cutting edge data science algorithms
  • Manipulate, Join and Aggregate Dataframes in Spark with Python
  • Learn how to apply Spark’s machine learning techniques on distributed Dataframes
  • Cross Validation & Hyperparameter Tuning
  • Frequent Pattern Mining Techniques
  • Classification & Regression Techniques
  • Data Wrangling for Natural Language Processing
  • How to write SQL Queries in Spark

關注這課程的人也購買了這些…

5

Big Data with Apache Spark PySpark: Hands on PySpark, Python

Learn to analyse batch, streaming data with Data Frame of Apache Spark Python and PySpark
NT$ 590
NT$ 470

點擊看Udemy

課程老師Ankit Mistry
課程評價4.2 分(86 個評分)
課程時長6.5 小時
學生人數3,683 人

課程介紹

Welcome to the  Apache Spark : PySpark Course.

Have you ever thought about How big company like Google, Microsoft, Facebook, Apple or Amazon Process Petabytes of data on thousands of machine.

This course starting point to learn about in memory big

瞭解更多細節

哪些人適合這堂課?

  • Anyone who wants to learn advance big data skill
  • Anyone who knows Hadoop and wants to move ahead in faster data processing
  • Anyone wants to make career as data Engineer, Data analyst, Machine Learning Engineer
  • Interested in learning Apache spark and pyspark for big data analysis
  • Anyone wants learn cutting edge technology in Data processing

學習目標

  • Basic overview of Spark technology
  • End to end Installation of Apache spark in Windows machine
  • End to end Installation of Apache spark in Linux machine
  • Setup Apache Spark Cluster on Microsoft azure HDInsight
  • Learn Spark SQL
  • Learn Spark DataFrame API
  • Spark Structured Streaming

關注這課程的人也購買了這些…



4

Apache Spark 3 for Data Engineering & Analytics with Python

Learn how to use Python and PySpark 3.0.1 for Data Engineering / Analytics (Databricks) – Beginner to Ninja

點擊看Udemy

課程老師David Charles Academy
課程評價4.5 分(239 個評分)
課程時長 小時
學生人數5,335 人

課程介紹

The key objectives of this course are as follows;

Learn the Spark Architecture

Learn Spark Execution Concepts

Learn Spark Transformations and Actions using the Structured API

Learn Spark Transformations and Actions using the RDD (Resilient Distri

瞭解更多細節

哪些人適合這堂課?

  • Python Developers who wish to learn how to use the language for Data Engineering and Analytics with PySpark
  • Aspiring Data Engineering and Analytics Professionals
  • Data Scientists / Analysts who wish to learn an analytical processing strategy that can be deployed over a big data cluster
  • Data Managers who want to gain a deeper understanding of managing data over a cluster

學習目標

  • Learn the Spark Architecture
  • Learn Spark Execution Concepts
  • Learn Spark Transformations and Actions using the Structured API
  • Learn Spark Transformations and Actions using the RDD (Resilient Distributed Datasets) API
  • Learn how to set up your own local PySpark Environment
  • Learn how to interpret the Spark Web UI
  • Learn how to interpret DAG (Directed Acyclic Graph) for Spark Execution
  • Learn the RDD (Resilient Distributed Datasets) API (Crash Course)
  • Learn the Spark DataFrame API  (Structured APIs)
  • Learn Spark SQL
  • Learn Spark on Databricks
  • Learn to Visualize (Graphs and Dashboards) Data on Databricks

關注這課程的人也購買了這些…

3

A Crash Course In PySpark

Learn all the fundamentals of PySpark

點擊看Udemy

課程老師Kieran Keene
課程評價4.6 分(410 個評分)
課程時長 小時
學生人數5,691 人

課程介紹

Spark is one of the most in-demand Big Data processing frameworks right now.

This course will take you through the core concepts of PySpark. We will work to enable you to do most of the things you’d do in SQL or Python Pandas library, that is:

G

瞭解更多細節

哪些人適合這堂課?

  • People wanting to leverage their big data with Spark

學習目標

  • PySpark, Apache Spark, Big Data Analytics, Big Data Processing, Python

關注這課程的人也購買了這些…



2

Data Science:Hands-on Diabetes Prediction with Pyspark MLlib

Diabetes Prediction using Machine Learning in Apache Spark

點擊看Udemy

課程老師School of Disruptive Innovation
課程評價4.3 分(135 個評分)
課程時長 小時
學生人數11,791 人

課程介紹

Would you like to build, train, test and evaluate a machine learning model that is able to detect diabetes using logistic regression?

This is a Hands-on Machine Learning Course where you will practice alongside the classes. The dataset will be pr

瞭解更多細節

哪些人適合這堂課?

  • Anyone interested in Data analysis with Spark and ML
  • Anyone who wants to learn fundamentals of Apache Spark in Big Data Analytics

學習目標

  • Diabetes Prediction using Spark Machine Learning (Spark MLlib)
  • Learn Pyspark fundamentals
  • Working with dataframes in Pyspark
  • Analyzing and cleaning data
  • Process data using a Machine Learning model using Spark MLlib
  • Build and train logistic regression model
  • Performance evaluation and saving model

關注這課程的人也購買了這些…

1

Spark and Python for Big Data with PySpark

Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!
NT$ 3,190
NT$ 570

點擊看Udemy

課程老師Jose Portilla
課程評價4.6 分(15,890 個評分)
課程時長10.5 小時
學生人數81,849 人

課程介紹

Learn the latest Big Data Technology – Spark! And learn to use it with one of the most popular programming languages, Python!

One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically design

瞭解更多細節

哪些人適合這堂課?

  • Someone who knows Python and would like to learn how to use it for Big Data
  • Someone who is very familiar with another programming language and needs to learn Spark

學習目標

  • Use Python and Spark together to analyze Big Data
  • Learn how to use the new Spark 2.0 DataFrame Syntax
  • Work on Consulting Projects that mimic real world situations!
  • Classify Customer Churn with Logisitic Regression
  • Use Spark with Random Forests for Classification
  • Learn how to use Spark’s Gradient Boosted Trees
  • Use Spark’s MLlib to create Powerful Machine Learning Models
  • Learn about the DataBricks Platform!
  • Get set up on Amazon Web Services EC2 for Big Data Analysis
  • Learn how to use AWS Elastic MapReduce Service!
  • Learn how to leverage the power of Linux with a Spark Environment!
  • Create a Spam filter using Spark and Natural Language Processing!
  • Use Spark Streaming to Analyze Tweets in Real Time!

關注這課程的人也購買了這些…



PySpark課程總覽

看完了一連串課程的介紹後,你是否還想要再一次進行課程總比較呢?

課程名稱Spark and Python for Big Data with PySparkData Science:Hands-on Diabetes Prediction with Pyspark MLlibA Crash Course In PySparkApache Spark 3 for Data Engineering & Analytics with PythonBig Data with Apache Spark PySpark: Hands on PySpark, PythonPySpark Essentials for Data Scientists (Big Data + Python)PySpark & AWS: Master Big Data With PySpark and AWSApache PySpark FundamentalsLearning PySparkHands-On PySpark for Big Data Analysis
課程圖示
1

Spark and Python for Big Data with PySpark

2

Data Science:Hands-on Diabetes Prediction with Pyspark MLlib

3

A Crash Course In PySpark

4

Apache Spark 3 for Data Engineering & Analytics with Python

5

Big Data with Apache Spark PySpark: Hands on PySpark, Python

6

PySpark Essentials for Data Scientists (Big Data + Python)

7

PySpark & AWS: Master Big Data With PySpark and AWS

8

Apache PySpark Fundamentals

9

Learning PySpark

10

Hands-On PySpark for Big Data Analysis

課程原價NT$ 3,190NT$ 590NT$ 2,690NT$ 590NT$ 2,690
課程售價NT$ 570NT$ 470NT$ 470NT$ 470NT$ 470
課程評價(人數)4.6 分(15,890 個評分)4.3 分(135 個評分)4.6 分(410 個評分)4.5 分(239 個評分)4.2 分(86 個評分)4.6 分(454 個評分)4.5 分(99 個評分)4.4 分(153 個評分)4.4 分(153 個評分)4.5 分(68 個評分)
課程時長10.5 小時 小時 小時 小時6.5 小時 小時16.5 小時1.5 小時 小時2 小時
學生人數81,849 人11,791 人5,691 人5,335 人3,683 人2,967 人959 人958 人487 人200 人
課程特色Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!Diabetes Prediction using Machine Learning in Apache SparkLearn all the fundamentals of PySparkLearn how to use Python and PySpark 3.0.1 for Data Engineering / Analytics (Databricks) – Beginner to NinjaLearn to analyse batch, streaming data with Data Frame of Apache Spark Python and PySparkLearn how to wrangle Big Data for Machine Learning using Python in PySpark taught by an industry expert!Learn how to use Spark, Pyspark AWS, Spark applications, Spark EcoSystem, Hadoop and Mastering PySparkLearn PySpark, fundamentals of Apache Spark with PythonBuilding and deploying data-intensive applications at scale using Python and Apache SparkUse PySpark to productionize analytics over Big Data and easily crush messy data at scale
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



從老師查找更多課程

以上推薦的課程還沒挑到自己有興趣的嗎?
還是您有熱衷某個老師開的課程呢?
本頁除了提供PySpark的課程以外,也列出這些課程所屬的老師的主要資訊頁,您可以從下列選單中了解更多相關介紹或看他們開的其他課程,期望您最終能找到自己想學習的項目。



【2022年】十大PySpark課程熱門排行推薦與優惠精選!

參考其他軟體工程線上課程

除了本文介紹的課程種類以外,想要瞭解軟體工程領域還有哪些不同類型的課程值得一探究竟嗎?讓您可以從不同面向更紮實的學習,點擊參考以下其他熱門主題文章。絕對提供您最優惠人氣滿檔的課程,歡迎繼續延伸閱讀。


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