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    • Apache Spark

    Apache Spark Courses Online

    Master Apache Spark for big data processing and analytics. Learn to use Spark for real-time data processing and machine learning.

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    Explore the Apache Spark Course Catalog

    • Status: Free
      Free
      N

      Northeastern University

      Database to AI: Practical Data Analytics Integration

      Skills you'll gain: Database Management Systems, Data Modeling, Database Design, Database Systems, Database Theory, Big Data, Unified Modeling Language, Database Architecture and Administration, Data Storage Technologies, Apache Hadoop, NoSQL, Apache Spark, Conceptual Design, MongoDB

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      데이터 과학이란 무엇인가?

      Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Digital Transformation, Big Data, Data Analysis, Business Analytics, Regression Analysis, Analytics, Apache Hadoop, Health Informatics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Snowflake - Build and Architect Data Pipelines Using AWS

      Skills you'll gain: Snowflake Schema, Real Time Data, Apache Kafka, Data Pipelines, Apache Airflow, Data Management, Data Governance, Apache Spark, Cloud Computing Architecture, Performance Tuning, Extract, Transform, Load, Data Security, Data Warehousing, Amazon S3, PySpark, Scikit Learn (Machine Learning Library), SQL, Role-Based Access Control (RBAC)

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro

      Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Extract, Transform, Load, Pandas (Python Package), Data Transformation, SQL, Jupyter, Google Cloud Platform, Development Environment, Cloud Storage

      Advanced · Course · 1 - 3 Months

    • P

      Packt

      Ultimate Guide to Raspberry Pi - Tips, Tricks, and Hacks

      Skills you'll gain: Linux Commands, Command-Line Interface, Linux, Remote Access Systems, Apache, Web Servers, Computer Hardware, Embedded Software, File Systems, System Configuration, Python Programming, Operating Systems, Software Installation, Peripheral Devices

      Beginner · Course · 3 - 6 Months

    • G

      Google Cloud

      Cloud Monitoring: Qwik Start

      Skills you'll gain: Google Cloud Platform, Cloud Applications, System Monitoring, Virtual Machines, Cloud Management, Event Monitoring, Network Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      ML Pipelines on Google Cloud - Português

      Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Continuous Integration, Google Cloud Platform, Tensorflow, Kubernetes, Continuous Deployment, Metadata Management, Scikit Learn (Machine Learning Library)

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Data Engineer, Big Data and ML on Google Cloud auf Deutsch

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Dashboard, Tensorflow, Apache Spark, Big Data, Applied Machine Learning, PySpark, Cloud Storage, Data Processing, Data Analysis, Apache Hadoop, Feature Engineering, MLOps (Machine Learning Operations), Apache Hive, Artificial Intelligence and Machine Learning (AI/ML), Unstructured Data, Scalability

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Pipelines - 日本語版

      Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Data Processing, Google Cloud Platform, Business Logic, Data Transformation, Performance Tuning, SQL, Scalability, Jupyter

      Advanced · Course · 1 - 3 Months

    • P

      Packt

      Apache Kafka Series - Learn Apache Kafka for Beginners v3

      Skills you'll gain: Apache Kafka, Apache, Java, Command-Line Interface, Real Time Data, Data Processing, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Advanced Data Management in Azure Databricks

      Skills you'll gain: Databricks, Real Time Data, Data Governance, Data Lakes, Microsoft Azure, Data Architecture, Data Management, Data Pipelines, Apache Spark, Data Quality, Data Integrity

      Advanced · Course · 1 - 4 Weeks

    • W

      Whizlabs

      AWS: Databases

      Skills you'll gain: Amazon DynamoDB, Amazon Redshift, Databases, Database Architecture and Administration, Database Design, Relational Databases, Apache Cassandra, NoSQL, Amazon S3, Data Warehousing, SQL, Redis

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular apache spark courses

    • Database to AI: Practical Data Analytics Integration: Northeastern University
    • 데이터 과학이란 무엇인가?: IBM
    • Snowflake - Build and Architect Data Pipelines Using AWS: Packt
    • Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro: Google Cloud
    • Ultimate Guide to Raspberry Pi - Tips, Tricks, and Hacks: Packt
    • Cloud Monitoring: Qwik Start: Google Cloud
    • ML Pipelines on Google Cloud - Português: Google Cloud
    • Data Engineer, Big Data and ML on Google Cloud auf Deutsch: Google Cloud
    • Serverless Data Processing with Dataflow: Pipelines - 日本語版: Google Cloud
    • Apache Kafka Series - Learn Apache Kafka for Beginners v3: Packt

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Apache Spark

    Apache Spark is an open source analytics framework for large-scale data processing with capabilities for streaming, SQL, machine learning, and graph processing. Apache Spark is important to learn because its ease of use and extreme processing speeds enable efficient and scalable real-time data analysis.

    Apache Spark can process in-memory on dedicated clusters to achieve speeds 10-100 times faster than the disc-based batch processing Apache Hadoop with MapReduce can provide, making it a top choice for anyone processing big data. Spark is also easy to use, with the ability to write applications in its native Scala, or in Python, Java, R, or SQL. This versatility and accessibility helps startups harness the powerful data science they need for cutting edge innovation.

    Spark also provides the scalable machine learning needed by artificial intelligence (AI) engineers to create applications that can transform the way we interact with digital technology, from recommendation algorithms on services like Netflix and Spotify to automated medical screening.‎

    Many careers in data science benefit from skills in Apache Spark, as software development engineers, data scientists, data analysts, and machine learning engineers use Spark on a daily basis. These roles are in high demand and are thus highly compensated; according to Glassdoor, machine learning engineers earn an average salary of $114,121 per year.

    Machine learning engineers design and build self-learning software and monitor its iterations to fine tune how models perform when they are scaled up and put into service. These professionals need a background in both software engineering and data science, and are increasingly being hired in a wide variety of fields such as education, healthcare, and finance. As machine learning continues to expand into many more fields, the need for machine learning engineers will continue to grow.‎

    Yes! Coursera offers a wide range of popular online courses and Specializations on data science in general and Apache Spark specifically, including courses in related topics like scalable machine learning, distributed computing, and big data analysis. You’ll learn from top-ranked institutions and organizations like the University of California Davis, the University of California San Diego, École Polytechnique Fédérale de Lausanne, and IBM, so you don’t have to sacrifice the quality of your education for the flexibility of learning remotely.

    Coursera also offers the courses needed to work towards the IBM AI Engineering Professional Certificate. And, if you want to take your data science education to the next level, Coursera provides you with the opportunity to pursue a Master of Science in Data Science through the University of Colorado.‎

    Because Spark works in application programming interfaces like Scala, Java, and Python, it helps to have a good grasp of one or more of these programming languages. Other prerequisites may vary depending on the level of the course you're taking. While beginner-level courses allow you to become familiar with Apache Spark and develop skills as you go, intermediate or advanced courses may require additional skills or experience within data science or computer programming. As you progress with learning Apache Spark, you'll develop the skills needed to read and write data to a variety of sources, parse different types of data, work within the artificial intelligence and machine learning arena, and transform data to leverage insights from it.‎

    People with a passion for data science and a desire to gain increased access to big data are well suited to learning Apache Spark. This tool opens a variety of opportunities for users to explore big data and leverage it to solve key problems within organizations. Additionally, Spark offers a faster pace for machine learning workloads, with large scale data processing capability that's exponentially faster than other tools like Hadoop. Because Apache Spark is on the front lines of innovation within AI and big data, those with an innate sense of curiosity and a desire to innovate are among those best suited to learning Spark and working in relevant roles.‎

    If you want to work within big data, learning Apache Spark could be a good move for you. This unified analytics engine is particularly popular because of its speed, the libraries that come with it, robust APIs, and its support for multiple programming languages. Additionally, it could be a smart career move depending on your aspirations. Demand continues to surge for professionals who can leverage Spark's power. In February 2021, Indeed.com listed more than 1,800 open positions looking for full-time Apache Spark professionals across multiple industries. Additionally, according to Databricks, learning Apache Sparks could give you a boost in your earning potential.‎

    Online Apache Spark courses offer a convenient and flexible way to enhance your existing knowledge or learn new Apache Spark skills. With a wide range of Apache Spark classes, you can conveniently learn at your own pace to advance your Apache Spark career.‎

    When looking to enhance your workforce's skills in Apache Spark, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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