【2022年】十大PySpark課程熱門排行推薦與優惠精選！

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

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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

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

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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.

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

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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

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

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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

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

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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

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

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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

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

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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

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

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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

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

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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

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

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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!